- Computer vision
- Web app
- Telegram bot
Brama
A computer vision system for the gate of a logistics warehouse near Kyiv: a camera at the checkpoint reads the truck’s plates, matches them with the delivery schedule, opens the barrier and assigns a dock. Dispatchers see every dock in real time, and each arrival is logged with a photo.
- CLIENT
- Logistics hub, Kyiv region
- INDUSTRY
- Logistics and warehousing
- YEAR
- 2026
- TIMELINE
- 10 weeks

The task
A class A warehouse with 24 docks receives 120–180 trucks a day. The guard wrote plates into a paper log, the dispatcher looked for a free dock by phone, and at peak hours trucks queued on the highway for 40 minutes. Nobody tracked how long a truck spent at a dock, so carriers disputed fines without evidence.
They needed a system that lets trucks in without a person in the loop, assigns docks on its own and keeps a log everyone can trust.
What we did
Plate recognition at the gate
The camera reads tractor and trailer plates in 0.4 seconds, even at night and in the rain. The system matches them with the delivery schedule and opens the barrier itself. If the camera can’t read a plate, the guard enters it on a phone.
- Computer vision
- Plate recognition
- Barrier integration
Dock assignment
The system assigns a free dock based on the cargo type and instantly sends its number to the driver in Telegram along with a yard map.
- Dock map
- Telegram bot
- Gate queue
Downtime control
Every dock shows a timer and unloading progress. When a truck stays past the standard time, the dispatcher gets an alert and can contact the driver in one tap.
- Timers
- Alerts
- Mobile app
Log and analytics
Every arrival and departure is logged with a photo, time and dock. Managers see hourly load, average time at the dock and the carriers that are late most often.
- Photo log
- Analytics
- CSV export
The whole yard on one screen



Guard, driver and dispatcher — on the phone
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