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Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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

Repository files navigation

Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

Repository files navigation

Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

Repository files navigation

Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Parking Lot Information Notifier (University Graduation Project)

graduation_project

📷 Video

https://youtu.be/ZB2DopuROoM

Project Overview

This system tracks vehicles in a parking lot and displays real-time parking information using LEDs. Its goal is to reduce the time drivers spend searching for available parking spaces.

Improving Congestion Efficiency

Traditional parking guidance lights only indicate whether a parking space is available. We enhanced this system by also showing when vehicles are entering or exiting a space.

Benefits:

  • Showing incoming vehicles prevents drivers from heading toward a spot that is already being taken.
  • Showing outgoing vehicles helps drivers quickly identify spaces that will soon become available.

LED Status Colors

  • Green: Space available
  • Red: Space occupied
  • Orange: A vehicle is entering the space
  • Yellow: A vehicle is leaving the space

Entering Scenario

The LED of the parking space nearest to the approaching vehicle turns orange.
The delay before switching to orange can be adjusted to avoid responding to cars that are simply passing by.

Exiting Scenario

When a vehicle’s headlights turn on, the LED turns yellow.
The delay before switching to yellow can be adjusted so drivers do not wait too long for the space to become available.

Technologies Used

  • Raspberry Pi and camera module for video capture
  • Arduino for LED control and Bluetooth communication
  • YOLOv5 for object detection
  • DeepSORT for object tracking

Video Processing Result

image

Hardware

imageimageimage

Flowchart

image

Team Members and Responsibilities

(All members contributed equally)

  • 양영식: Raspberry Pi, LED Bluetooth communication, vehicle control, exit-detection algorithm, deep-learning model training
  • 이승종: Algorithms for green, red, and orange LED states
  • 김성혁: Hardware design and implementation

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages