Facial recognition (masked-capable)
Identifies and verifies a person by facial features and works well enough even when a face mask is worn.
// loading…
Accreditations
Case Study · Sarva Siksha Abhiyan (SSA), Government of Gujarat
A facial-recognition-based attendance system for Sarva Siksha Abhiyan (SSA), Gujarat — deployed across 35,000 institutions to monitor attendance and on-ground teaching quality for 200,000+ teachers and 6,000,000 students. It identifies and verifies a person from their facial features (working even on masked faces) to record accurate, automated attendance and absence reports, adds liveness detection to defeat photo/device spoofing, geo-location mapping so a teacher can only mark attendance when physically at the school, in/out time tracking, and web-based integration and reporting — eliminating human error.
Industry
Education
Region
IN
Education / Facial Recognition / Attendance / Geo-Location
The system does far more than mark attendance: it monitors the attendance and on-ground teaching quality of teachers and students across a very large network. Facial recognition identifies and verifies a person by their facial features and automatically records attendance, producing accurate, automated attendance/absence reports while eliminating human error — and it works well enough even on masked faces.
Business requirements & challenges
A state-scale education network needed trustworthy, tamper-resistant attendance that also confirmed teachers were actually at school.
Major challenges
Solution
A facial-recognition attendance app combining identity, liveness, location and time verification with web-based reporting.
Stack
How it works
What's new
Identifies and verifies a person by facial features and works well enough even when a face mask is worn.
Detects spoofing attempts — trying to mark attendance with a photo or a device displaying an image — distinguishing a real person from a fake.
Maps and verifies the teacher's location so attendance can only be marked when physically at the school.
Records in-time and out-time to measure total time each teacher spends at the school.
Combines identity + liveness + location + time for far stronger verification than a face check alone.
Links with existing systems to generate reports and analytics rather than operating in isolation.
Business benefits
35,000
institutions covered
200,000+
teachers monitored
6M
students
At a glance
| Project | Facial Recognition Based Attendance System |
|---|---|
| Organization | Sarva Siksha Abhiyan (SSA), Gujarat |
| Institutions | 35,000 sites |
| Teachers | 200,000+ |
| Students | 6,000,000 |
| Core Technology | Facial recognition (works on masked faces) |
| Anti-Spoofing | Liveness detection |
| Location | Geo-location mapping — attendance only at school |
| Time | In/out time; total time at school |
| Integration | Web-based integration + reporting |
| Attendance | Real-time, automated |
| Outcome | Accurate attendance/absence, human error eliminated |
Related
Education
FeaturedA comprehensive, AI/ML-powered Virtual Skills Platform for BCP Council — generating personalised training and career pathways for people pursuing the Digital and Digital Creative sectors. A machine-learning recommendation engine analyses user preferences, learning patterns and industry trends; curated, regularly-updated courses come from reputable providers and local partners; and interactive learning (virtual labs, quizzes, forums) drives engagement — with job search, recommendations and analytics.
BCP Council
UK
Education
FeaturedStatewide facial-recognition attendance for 200K+ teachers and 6M+ students across 35,000 Gujarat educational institutions — a first-of-its-kind public-sector deployment.
Government of Gujarat — SSA Department
IN
35K
schools covered
Education
An end-to-end school management solution for a school in Africa — addressing gaps in teaching resources, student–faculty collaboration, teacher performance measurement and information sharing. It adds student & staff analytics, exam-result KPIs by student and subject, end-to-end digitalisation of student records, teacher/staff performance analytics and resource planning across 15 functional modules, with dashboards and real-time data to improve teaching and learning outcomes.
OTHER