Bus Headcount & Facial Boarding Verification

I need an end-to-end system that automatically counts every passenger who enters or exits a bus and, at the same time, lets only authorised riders board through face recognition. The headcount must update live and stream to my security team’s server so they can monitor occupancy and verify that no unauthorised person is on board at any moment. Here is what matters to me: the facial verification must be fast enough to avoid boarding queues, the counting accuracy should stay above 98 %, and the data flow has to be truly real-time, not batch. If you already work with edge cameras or depth-sensing devices for people counting, please tell me how you will integrate them with your face-recognition engine and how you plan to push the feed straight to our internal server (REST API, MQTT, or any protocol you prefer, as long as latency is minimal). Deliverables I expect: • Hardware specification for sensors/cameras and any onboard compute you recommend • Software package that performs face recognition, maintains a running headcount, and streams JSON records to our server • Simple dashboard or log viewer so my security team can review boardings in real time • Deployment guide and remote hand-over support for the first bus we pilot on If your previous projects include transportation, crowd analytics, or edge AI, I’d love to see them. Let’s discuss your approach and timeline so we can roll out a pilot quickly.

Project ID: 40267265