Scope, stakeholders, and system overview
Detailed functional and non-functional requirements with acceptance criteria
DB schema, sample APIs, and example JSON payloads
ML model lifecycle, liveness, and accuracy targets
Privacy, security, and compliance guidance (consent/retention)
Deployment options (edge/cloud/hybrid), hardware recommendations
Testing plan, monitoring, migration strategy, and developer handoff checklist
Next steps I can do for you (pick any):
Generate an OpenAPI (Swagger) skeleton for the APIs.
Produce a prioritized backlog of user stories with acceptance tests.
Export the SRS to PDF or a developer-ready README.
Create a basic repo layout and CI/CD YAML templates.
.
? 1. Core Functional Features
1.1. User Enrollment
Register users (students, employees, staff) with personal and identification data.
Capture and store multiple facial images or a short video for enrollment.
Perform image quality checks — lighting, clarity, face angle, blur detection.
Generate and store facial embeddings (AI vectors) instead of raw images.
Handle re-enrollment or updating facial data when needed.
Collect consent confirmation during enrollment (privacy compliance).
1.2. Face Recognition Attendance
Real-time facial recognition from webcam, CCTV, or mobile camera.
Automatic detection and identification of users.
Record attendance with status: PRESENT / UNVERIFIED / ABSENT.
Configurable match threshold (default: 0.75 similarity).
Automatic duplicate prevention within a time frame (to stop re-check-ins).
Attendance capture through web, mobile app, or dedicated terminal.
Offline mode: Edge devices can capture and sync later when online.
1.3. Liveness Detection
Detects whether the face belongs to a live person (not a photo/video).
Supports passive liveness (texture analysis) and active liveness (blink, smile, head movement).
Configurable liveness confidence threshold (default: 0.7).
Attendance is rejected if liveness fails (to prevent spoofing).
1.4. Attendance Management
Auto-mark attendance once a valid face match is found.
Manual correction/review by admin for unverified records.
Supports configurable working hours, grace periods, break times.
Displays daily, weekly, monthly summaries per user, department, or branch.
Handle shift-wise or class-wise attendance policies.
Geolocation tagging or device ID logging for security.
?￢οΎοΎ? 2. Administration & Management Features
2.1. Admin Dashboard
Manage users, attendance, and devices through a responsive web interface.
View real-time attendance status (who is present/absent).
Approve or reject unverified attendance records.
Configure match thresholds, retention policies, and working schedules.
Manage roles and permissions (RBAC): SuperAdmin, Admin, Manager, Verifier, Auditor.
Access audit logs for all major actions.
Configure email/SMS notifications for anomalies or daily summaries.
2.2. Device Management
Register and monitor capture terminals (camera devices, kiosks, mobile apps).
Track device location, IP, and last-seen timestamp.
Manage device configurations remotely.
Enable/disable specific devices for maintenance or policy violations.
2.3. Reporting & Analytics
Generate attendance reports by:
Date range
User or department
Class/shift
Device/location
Export reports in CSV, Excel (XLSX), or PDF.
Schedule automated report generation (daily, weekly, monthly).
Interactive charts and dashboards (attendance trends, peak times).
Detect anomalies (suspicious or repeated attendance patterns).
2.4. Integration & API
RESTful APIs for user sync, attendance posting, and report fetching.
Webhook support (for enrollment completion, attendance verified, etc.).
Integration with HR, ERP, or Student Management Systems (via API or CSV).
Single Sign-On (SSO) via OAuth2 / SAML.
LDAP integration for enterprise environments.
OpenAPI/Swagger documentation for all API endpoints.
? 3. AI & Recognition Engine Features
3.1. Face Recognition Engine
Detects faces, extracts embeddings, matches against database.
Configurable inference modes:
Edge Mode: On-device inference (ONNX/TensorRT).
Cloud Mode: Centralized GPU inference.
Hybrid Mode: Local detection + cloud matching.
Maintain multiple model versions (for retraining, A/B testing).
Accuracy goals:
False Accept Rate (FAR) ≤ 0.1%
False Reject Rate (FRR) ≤ 3%
3.2. Model Lifecycle Management
Track deployed model versions and accuracy metrics.
Retrain or fine-tune models using new enrollment data (if consented).
Automatic fallback to previous stable model if new version underperforms.
Evaluate models on controlled datasets with ROC/FAR/FRR metrics.
? 4. Security & Compliance Features
Data encryption at rest (AES-256) and in transit (TLS 1.2+).
Store face embeddings only, not raw face images where possible.
Role-based access and least-privilege principles.
Two-factor authentication (2FA/MFA) for admin logins.
Audit trails for all critical actions (who, what, when, where).
Configurable data retention (e.g., purge raw images after 30 days).
GDPR / Privacy law compliance: user consent, data export, right to delete.
IP whitelisting and request signing for devices.
Automatic detection of suspicious activities (e.g., repeated spoof attempts).
⚙️ 5. System & Technical Features
5.1. Architecture
Modular microservice architecture.
REST API backend + modern frontend (React, Vue, or Angular).
Database: PostgreSQL / MySQL (configurable).
Optional message queue (RabbitMQ/Kafka) for async processing.
Containerized (Docker/Kubernetes ready).
CI/CD pipeline with automated testing and deployment.
5.2. Performance
Attendance recognition latency:
Edge: < 500ms
Cloud: < 250ms
Scalable to 1,000+ concurrent device connections.
Load balancing and horizontal scaling supported.
5.3. Reliability & Monitoring
Target uptime: 99.5%
Auto backup for database and storage.
Health checks and monitoring dashboards.
Alerts for failed recognition spikes or system anomalies.
5.4. Usability
Simple, guided UI for enrollment and attendance capture.
Real-time visual feedback (✅ recognized / ❌ unverified).
Accessible on desktops, mobiles, and kiosks.
Multilingual interface support (optional).
Dark/light themes for user comfort.
? 6. Optional / Phase-2 Features
Group attendance capture (detect multiple faces at once).
Visitor mode (temporary user via QR + selfie).
Emotion detection / mood analytics (optional & privacy-reviewed).
Voice + Face fusion for high-security zones.
Geo-fencing: mark attendance only at approved locations.
Offline synchronization: store records locally and sync later.
✅ In Summary — Major Functional Blocks:
|
Category |
Key Features |
|---|---|
|
User Enrollment |
Face capture, quality check, consent |
|
Attendance Capture |
Face recognition, liveness, time logging |
|
Admin & Dashboard |
Manage users, devices, policies, reports |
|
Reports |
Analytics, trends, exports |
|
API Integrations |
REST API, SSO, LDAP, webhooks |
|
Security & Privacy |
Encryption, RBAC, logs, compliance |
|
ML Engine |
Detection, embedding, matching, model lifecycle |
|
Deployment & Monitoring |
Scalable backend, CI/CD, alerts |
π₯ WordPress https://computerclassinsrilanka.wordpress.com
π₯ Facebook https://web.facebook.com/itclasssrilanka
π₯ Wix https://itclasssl.wixsite.com/icttraining
π₯ Web https://itclasssl.github.io/eTeacher/
π₯ Medium https://medium.com/@itclasssl
π₯ Quora https://www.quora.com/profile/BIT-UCSC-UoM-Final-Year-Student-Project-Guide
π₯ mystrikingly https://bit-ucsc-uom-final-year-project-ideas-help-guide-php-class.mystrikingly.com/
π₯ https://elakiri.com/threads/bit-ucsc-uom-php-mysql-project-guidance-and-individual-classes-in-colombo.1627048/
π₯ https://bitbscucscuomfinalprojectclasslk.weebly.com/
π₯ https://www.tiktok.com/@onlinelearningitclassso1
π₯ https://payhip.com/eTeacherAmithafz/
π₯ https://discord.gg/cPWAANKt
π₯ https://6789f6ca695da.site123.me/blog
π₯ https://itclasssl.github.io/eTeacher/
π₯ https://www.tumblr.com/blog/computercoursesincolombo-blog
π₯Subscribe on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7072056309516304384
π₯https://www.scribd.com/user/682883198/Online-Learning-IT-Class-Software-Dev
π English Sinhala Tamil Medium Online Classes
✅ Final Year Software Web Project Guidance BIT UCSC UoM
✅ Grade 1 to GCE O/L A/L ICT GIT Classes
✅ PHP & Python Training
✅ Web & Software Development
✅ Social Media Marketing
π² Learn, Build & Succeed! Join us today! π
π Looking for HIGH-ENGAGEMENT Student Groups to Share Your IT/CS Project Ideas?
Here’s the ULTIMATE list to get MASSIVE reach in 2025! π₯π₯π₯
𧨠1. University IT/CS Students Groups (SUPER ACTIVE!)
Search Keywords:
Computer Science Students • IT Students Community • Software Engineering Students • BSc IT Students • Final Year Project Group
π 2. Indian Engineering Groups (HUGE REACH!)
Millions of BTech/BCA/MCA students!
Search:
BTech Projects • Engineering Students India • BCA MCA Students • CSE Students Group • Polytechnic IT Group
π§π© 3. Bangladesh CS/IT Groups (VERY ENGAGED!)
Search:
CSE Bangladesh • ICT Bangladesh • University Students BD • Final Year Project BD
π΅π° 4. Pakistan IT & CS Groups
Search:
CS Pakistan • IT Students Pakistan • Final Year Projects Pakistan • BSCS Students Pakistan
π±π° 5. Sri Lankan IT/SE Groups (HOME ADVANTAGE!)
Search:
UCSC Groups • SLIIT Groups • IT Students Sri Lanka • BIT External Groups • SL IT Jobs & Projects
π» 6. Global Programming & Coding Groups
Search:
Python Projects • JavaScript Developers • Web Developers Community • MERN Stack Devs • Full-Stack Developers
π€ 7. AI & Machine Learning Groups
Search:
AI Projects • Machine Learning Community • Data Science Projects • AI Engineers Group
π± 8. App Development Groups
Search:
Android Project Ideas • Flutter Developers • Mobile App Developers
π§π 9. Assignment & Academic Help Groups
Search:
Assignment Help • University Students Help • Homework Help • Academic Projects
π 10. Tech Learning & Career Groups
Search:
Tech Learners Community • Learn Programming • Coding For Beginners • Computer Science Hub
π― Pro Tips for MAXIMUM Reach
π₯ Join 30–40 groups
π₯ Post 5–6 times per day
π₯ Change your caption slightly each time
π₯ Use strong hooks like:
“π₯ Final Year IT Project Idea (Problem + Solution)”
“π‘ Real-World IT Problem You Can Solve With AI!”
“π Best Project for BSc/BIT/MCA Students!”
#️⃣ Hashtags to BOOST Reach
#ITProjects #CSStudents #FinalYearProject #SoftwareEngineering #ComputerScience #BTechStudents #UniversityProjects #ProgrammingIdeas #AIProjects #WebDevelopment #MobileDevelopment #CodingCommunity #SriLankaIT #IndiaEngineering #BangladeshCSE #PakistaniStudents #StudentProjects #ProjectIdeas2025
