Modernizing Attendance with AI and Computer Vision
TruePresence is an intelligent attendance platform we built to eliminate manual roll calls, proxy sign-ins, and error-prone check-ins. Using real-time video and facial recognition, it logs attendance seamlessly at doors or in classrooms, integrates with schedules, and ensures presence verification is accurate, secure, and tamper-proof.
95%
accuracy in presence verification across varied conditions
50%
faster attendance logging compared to manual or RFID methods
100%
elimination of proxy sign-ins in controlled trials
How We Built a Seamless, Contactless Attendance Experience
The client struggled with slow, error-prone, and easily manipulated attendance system. Manual roll calls, RFID swipes, or QR scans created delays and loopholes like proxy attendance. We built TruePresence as a contactless solution powered by AI and computer vision, ensuring real-time, accurate logging that adapts to classrooms, entry points, and complex schedules.
Use Cases
Individual Entry Tracking
Detects and logs the attendance of individuals as they pass through a door, using facial recognition and real-time video analysis.
Group Attendance for Classrooms
Captures a video feed of a classroom, detects all visible students, and marks attendance based on facial identification and course schedules.
Course & Schedule Integration
Automatically ties recognized individuals to specific sessions or classes using calendar and timetable data.
Real-Time Notifications
Sends alerts when unauthorized individuals are detected or when specific students/staff are marked absent.
Tech Stack
- React
- Node.js
- Deep Learning Facial Embeddings
- OpenCV
- TensorFlow/PyTorch
- PostgreSQL
- AWS/Azure
- React + D3.js
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Get in touch to discuss your software vision with industry experts
Prefer to write directly? info@pinnacloid.com or +1 (312) 780-8825
What stood out the most was how easy it was to communicate with their team. We always knew where things stood, and there were no surprises.
CEO, DigitArtisan