Contactless attendance from the cameras at your doors: employees are recognised as they walk through — check-in, check-out, shift and late tracking, a live headcount and automatic emails when someone doesn't show — with nothing to carry, tap or touch.
Entrance cameras recognise employees in motion — no stopping, no queueing, no reader to tap. Check-out works the same way on exit.
Two independent face engines (ArcFace + AdaFace) score every face before a record is written — tuned for backlit entrances and people in motion, not passport photos.
Define shift schedules per workplace with per-day patterns and a grace window; arrivals are matched against them and lateness is flagged at check-in, not compiled in a spreadsheet.
Who is on site right now, per workplace — invaluable for daily operations and critical in an evacuation. Manual check-in covers the exceptions.
Every face the door sees, with its crop, its match percentage and the action it triggered — including the unknown ones, so gaps in enrolment are obvious.
Onboard the whole workforce in an assembly line: pick a camera, type a name, capture — the AI keeps the clearest frames itself. New hire? One picture and they're active.
Model offices, floors and sites; assign entrance, exit and overview cameras to each and get per-location attendance out of the box.
Draw the rule once: email the line manager when someone on the early shift hasn't been seen by 09:15 — nobody has to remember to check a report.
A door camera can run a face-only vision profile for attendance while the same install keeps doing security — one stream, one licence, two outcomes.
Hours, punctuality and presence trends per person and per team — payroll-ready records with photo evidence behind every entry.
| The traditional way | MIT Attendance | |
|---|---|---|
| Clocking in | ✕Queue at a reader, tap a card, press a finger — every shift change | ✓Walk through the door at normal pace; the camera does the rest |
| Fraud | ✕Buddy punching — a colleague taps your badge for you | ✓A face can't be handed over; every record is backed by a photo |
| Hardware | ✕A reader on every door, wiring, maintenance contracts | ✓The entrance cameras you already own |
| Hygiene | ✕Hundreds of fingers on the same sensor every morning | ✓Fully contactless — nothing is touched by anyone |
| Onboarding | ✕Print badges, enrol fingerprints one by one at a device | ✓Bulk-enrol from live capture in minutes, one photo per person |
| Hearing about a late arrival | ✕In next month's payroll report, when it's too late to act | ✓An email the minute the grace window closes |
| Emergencies | ✕A stale sign-in sheet nobody updated | ✓A live, accurate on-site headcount per workplace |
Dual face engines (ArcFace + AdaFace) handle bad angles, backlight and motion blur — entrance footage, not passport photos, is what this was tuned for.
Every competitor sells you readers. MIT Attendance runs on the security cameras already pointed at your doors.
Late arrivals, no-shows and after-hours presence become email rules you draw once — HR stops chasing a report and starts receiving one.
Each check-in stores the recognised face crop — disputes end with a picture, not a debate.
The same MIT Eyes install that guards the site runs attendance — one system, one enrolment, two payrolls' worth of value.
Biometric data stays on your own servers, self-hosted — not in a badge vendor's cloud.
Competitors sell four systems: four installs, four vendors, four invoices. MIT sells one platform where every module reuses the cameras, the AI and the data of the others — so each solution you add costs a fraction and returns in full.
See MIT Attendance running on your own cameras — a pilot takes a day, not a quarter.
Your cameras already see everything. Now they understand it.
Explore →The plate is the ticket. The camera is the sensor.
Explore →Every vehicle counted. Every speed measured. Every violation proven.
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