Vision AI starts with real-world execution.
We engineer computer vision architectures, on-device mobile neural models, and enterprise software designed to work in challenging live environments. Every project is directly managed by our team, end to end.
How we differ
Why institutions and engineering teams pick One Click AI over generalist software agencies.
Specialists, not generalists
Computer vision, multi-face matching, and mobile AI pipelines are not side offerings. They are what we go deep on. Our models run directly on client hardware before any production release.
Nothing subcontracted, nothing outsourced
Every model pipeline, backend microservice, and native Android application is engineered by our founding technical team. No gig workers. No crowdsourcing. No vendor chains. Your source code and proprietary weights live under strict confidentiality.
Spun up in weeks, not quarters
Rapid architecture, model prototyping, and QA all sit inside the same room. When requirements scale, we scale the engineering, not the meeting list.
Capture to delivery, handled end-to-end by Yash Kesharwani and the core team.
Services
Two core practices. Both run end to end, in our facility, by our team.
Multi-Face Recognition & Video Analytics
First-person and wide-angle multi-person detection, facial embeddings extraction, real-time bounding boxes, and cross-roster verification engineered for challenging real-world classroom and enterprise environments.
What's Included- Multi-face simultaneous detection across high-density classroom angles
- ArcFace & InsightFace 512-D vector embeddings matching
- Anti-spoofing and angle calibration for commodity Android cameras
- Strict zero-photo archiving: memory buffers cleared post-inference
- Production inference turnaround under 1.2 seconds
Selected work
A selection of how we operate. Clients stay confidential. The outcomes are real.
30-second group photo attendance across 50+ classrooms and 2,000+ students.
01 Challenge
High-density multi-face capture, backbencher distance, lighting variations, and low-cost smartphone camera sensors without dedicated biometric hardware.
02 Deployment
On-device face detection paired with ArcFace vector similarity matching. Automated presence matrix preparation with one-tap instructor approval.
03 Outcome
99.4% verification accuracy, 15 minutes of lecture time saved per period, 100% elimination of proxy attendance.
Scalable microservices handling real-time biometric telemetry and offline data sync.
01 Challenge
High morning influx of simultaneous roll calls across educational institutions with unreliable cellular data.
02 Deployment
Asynchronous Python FastAPI pipeline, PostgreSQL vector indexing, encrypted local SQLite queue on Android, and Dockerized edge deployments.
03 Outcome
Zero server lockups during peak morning spikes, automatic offline-to-online reconciliation, and instantaneous Excel/CSV report generation.
OneClick Attendance Android App (v1.0)
Experience our group-photo attendance system directly on your Android phone. Ready for school pilots, college rollouts, and workplace teams.
Ready to build with us?
One call. No decks. Just a conversation about what you need and what we can do.