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This Project helps users to locate the person within the organization. Users can search the persons based on their privileges:

  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.

Available as a Web app, Mobile app, Desktop app

Locating persons can be done using 2 approaches:

  • RFID
  • Face Recognition (Haar Cascade)

RFID: Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.

Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.

Face Recognition: Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)

User flow:

  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)

About

A Location Tracking system using RFID and Computer Vision

Topics

arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp

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Activity

Stars

6 stars

Watchers

2 watching

Forks

2 forks
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, '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" + '

Skip to content
BranchesTags
Repository files navigation
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 forks
Report repository
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, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 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");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
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
BranchesTags
Repository files navigation
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 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
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 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
Repository files navigation
This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
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); }
})();
})();

Skip to content
BranchesTags
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This Project helps users to locate the person within the organization.
Users can search the persons based on their privileges:
  • Students can search for faculty (to reach them out based on their availability in urgent times like assignment deadlines, project discussions)
  • Faculty can search both students and their colleagues
  • Higher officials can search all the members and can look into few statistics also.
Available as a Web app, Mobile app, Desktop app
Locating persons can be done using 2 approaches:
  • RFID
  • Face Recognition (Haar Cascade)
RFID:
Every member of the organization must wear an ID card. In every ID card, an RFID tag is inserted by default. RFID readers have to be installed in some checkpoints when a person crosses that checkpoint the Reader senses the tag in that ID card, and every ID should be maintained unique to update the location of individual person. By this whenever a person crosses an RFID reader, their location will be updated.
Organizations might have too many checkpoints to cover all the locations properly. Installing more RFID readers is not recommended (cost inefficiency). So, another approach is using the Camera feed and implementing Face Recognition.
Face Recognition:
Organizations will have cameras in all the areas covering all locations in the organization. On these cameras' feed, applying face recognition will give us information about the person's identity (name/id) and where he's recognized (location). With this, we can have the updated location of the person. But this approach depends on the accuracy of the algorithm used. (We used Haar Cascade)
User flow:
  • Login (students can login directly with their id, faculty and officials need to enter their credentials)
  • Search for a member (based on privileges)
  • Update status (for faculty and higher officials in order to show their availability)
About
A Location Tracking system using RFID and Computer Vision
Topics
arduinocomputer-visiondesktop-appfluttermobile-appopencvprojectpythonrfidrfid-cardrfid-readerrfid-tagswebapp
Resources
Readme
Activity
Stars
6 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages