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ESP32-CAM Security Bot with Voice Command Control

1. Project Overview

This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands. The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.

1a. Key Features

  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display

1b. System Architecture

The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.

2. Bill of Materials

ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH

3. Electrical Architecture

  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.

3a. Power Flow Diagram

18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.

4. Electrical Safety Notes

  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.

5. Software Architecture

  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.

6. Build Roadmap

  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation

7. Skills Developed

  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.

About

A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.

Topics

computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control

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Readme
MIT license
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ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
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Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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ESP32-CAM Security Bot with Voice Command Control
1. Project Overview
This project builds a mobile security robot powered by the ESP32-CAM module with OV3660 camera. The robot combines live video surveillance with voice command control, PIR motion detection, and a pan-tilt camera system. It patrols autonomously, detects intruders, streams live footage over WiFi, and responds to spoken commands.
The entire system runs on battery power (2x 18650 Li-ion cells) and communicates via WiFi for remote monitoring through a browser-based dashboard.
1a. Key Features
  • Live MJPEG video streaming over WiFi to any browser
  • Voice command recognition via INMP441 I2S MEMS microphone (4–6 commands)
  • PIR motion detection with automatic camera capture and buzzer alert
  • Pan-tilt camera mount with 2x SG90 servos for surveillance sweep
  • Mobile robot platform with L298N + dual BO motors for patrol
  • 1.8" TFT LCD dashboard showing mode, battery, WiFi status
  • Audio output via PAM8403 amplifier + 3W speaker for voice alerts
  • Web-based remote control dashboard with live stream
  • Rotary encoder for local menu navigation on TFT display
1b. System Architecture
The ESP32-CAM serves as the central controller, handling camera capture, WiFi streaming, I2S audio input, servo control, motor drive, display rendering, and web server hosting simultaneously. The architecture is event-driven: PIR interrupts trigger the security pipeline, voice commands trigger motor actions, and the web dashboard provides remote override control.
2. Bill of Materials
ComponentQtyCategory
ESP32-CAM WiFi/BT with OV3660 Camera (2MP)1CORE
CH340G USB to Serial Converter1CORE
4-Ch 3.3V-5V Bi-Directional Logic Level Converter1CORE
PCF8574 I2C GPIO Expander (8-ch)1CORE
HC-SR501 PIR Motion Sensor + IR Combo1SENSORS
INMP441 MEMS I2S Omnidirectional Microphone1SENSORS
KY-040 Rotary Encoder Module1SENSORS
1.8" ST7735 TFT LCD (128x160, SPI)1DISPLAY
3W 4Ω Speakers x2 + PAM8403 Amp Combo1AUDIO
5V Active & Passive Buzzers3AUDIO
TowerPro SG90 Mini Servo (180°)2MOTORS
SG90 Pan-Tilt Camera Mount Kit1MOTORS
L298N Dual Motor Driver1MOTORS
Dual BO Shaft DC Gear Motors + Wheels1MOTORS
18650 Li-Ion 2200mAh Battery (3.7V) + Holder2POWER
TP4056 Charge+Protection Module2POWER
LM2596S DC-DC Buck Converter2POWER
MT3608 DC-DC Boost Converter2POWER
Assorted passives (Caps, Resistors, Diodes, Transistors)-PASSIVE
Robot Chassis (3D Printed)1MECH
3. Electrical Architecture
  • Battery Pack: 2x 18650 in series -> 7.4V nominal (8.4V full, 6.4V cutoff).
  • 5V Rail: 7.4V -> LM2596S buck converter -> 5.00V. Powers ESP32-CAM VIN, SG90 servos, PAM8403 amplifier, L298N 5V logic pin.
  • Motor Drive: 7.4V directly to L298N VMS pin. Feed 5V externally from LM2596S to L298N 5V pin.
  • Audio Input (INMP441): I2S interface to ESP32-CAM.
  • Audio Output: ESP32 PWM output -> RC low-pass filter -> PAM8403 amplifier input -> 3W 4Ω speaker.
  • Display (ST7735): SPI interface. 3.3V logic compatible.
  • Servo Signals: ESP32 GPIO (3.3V) -> 4-ch logic level shifter -> 5V signal to SG90 servos.
  • PIR Sensor: HC-SR501 output is 3.3V logic. Direct connection to ESP32 GPIO.
3a. Power Flow Diagram
18650 x2 (series) -> 7.4V -> [Battery Holder Switch] -> LM2596S Buck -> 5.00V Rail
Motors are powered from 7.4V directly through L298N VMS pin, not the regulated 5V rail.
4. Electrical Safety Notes
  • ⚠️ FIRE RISK (TP4056): Standard TP4056 ships with 1.2kΩ PROG resistor = 1A charge current. Safe for 2200mAh cells.
  • ⚠️ CRITICAL (Voltage Converters): MT3608 can output up to 28V. LM2596 passes near-full input voltage when untuned. MANDATORY: Tune to 5.00V with multimeter BEFORE connecting any board.
  • ⚠️ CRITICAL (Buzzer): Active buzzer draws 30–80mA at 5V. ESP32 GPIO max is 20mA at 3.3V. MUST use BC547 transistor driver with 1N4148 flyback diode.
  • ⚠️ AWARENESS (ESP32-CAM Pins): GPIO0 is flash/boot. GPIO2 and GPIO12 are strapping pins. GPIO25/26 are locked by camera VSYNC/SIOC.
  • ⚠️ AWARENESS (L298N): Remove onboard 5V jumper. Feed 5V externally from LM2596S.
5. Software Architecture
  • Camera Streaming Module: MJPEG HTTP server on port 80 at VGA resolution.
  • Voice Command Module: Reads I2S DMA buffers from INMP441. Processes audio frames for keyword spotting (patrol, stop, left, right, alert, status).
  • Security Module: PIR interrupt handler triggers security pipeline: capture frame, activate buzzer, send WiFi notification.
  • Motor Control Module: L298N direction pins controlled via PCF8574 I2C GPIO expander. ENA/ENB driven by ESP32 LEDC hardware PWM.
  • Display Module: SPI driver for ST7735 TFT. Renders dashboard.
  • Web Dashboard Module: ESPAsyncWebServer hosts HTML/JS/CSS dashboard embeddings MJPEG stream and WebSockets for control.
6. Build Roadmap
  1. Pre-build: GPIO Map, Tune Buck/Boost converters, build buzzer driver circuit.
  2. Phase 1: ESP32-CAM Basic Setup (Camera server test)
  3. Phase 2: Voice Input (INMP441 raw capture)
  4. Phase 3: Audio Output (PWM + PAM8403 + Speaker filter)
  5. Phase 4: PIR Motion Detection + Security Logic
  6. Phase 5: Pan-Tilt Camera Mount calibration
  7. Phase 6: Voice Command Recognition model training
  8. Phase 7: Mobile Robot Drive integration
  9. Phase 8: TFT Display Dashboard construction
  10. Phase 9: Web Dashboard + Live Stream integration
  11. Phase 10: Power System Integration
  12. Phase 11 & 12: Full Integration, Chassis Mount, and Documentation
7. Skills Developed
  • Embedded Systems: PWM servo control, I2S audio protocol, SPI display interface, Motor driver (H-bridge), Interrupt-driven sensors, GPIO management, Power regulation.
  • AI / Voice / Audio: Voice command recognition, TinyML / Edge Impulse, FFT audio processing, Keyword spotting, Real-time audio DSP.
  • IoT / Systems / Design: WiFi live video streaming, MJPEG HTTP server, WebSocket real-time comms, Async web dashboard, 3D CAD + printing, Full-stack IoT architecture.
About
A mobile security robot powered by ESP32-CAM featuring live video surveillance, voice command control, PIR motion detection, and a pan-tilt camera system.
Topics
computer-visionesp32-camiotroboticssecurity-botsurveillancevoice-control
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages