Break times are often short - so long queues to pay in the company restaurant can be nerve-wracking. The plate scanner - a camera-controlled cash register - speeds up the process significantly.
Check the order, enter it in the cash register, take out the wallet, accept the change, stow everything away, and walk to your seat with the tray: The classic payment process in the company restaurant is a factor that should not be underestimated in terms of time and also nerve-wracking.
The self-checkout with the "plate scanner" camera checkout provides noticeable relief for staff and guests.
The digitalization and automation of payment processes saves time for staff and guests. This alleviates staff shortages.
Thanks to the extensive database, the software can recognize food and drinks with a recognition rate of 99% within a few seconds: With the camera checkout 'plate scanner', users complete the checkout process in three seconds, while conventional detection takes up to 30 seconds.
This not only benefits customers: the time saved also means an enormous reduction in workload for employees. As the checkout process is no longer necessary, the existing staff can be deployed more efficiently for other tasks (such as preparing or serving food).
The fast recognition of food by camera significantly increases the checkout process. Among other things, this allows for higher checkout throughput, more satisfied customers, and at the same time reduces the workload of the staff in the company restaurant.
- Convenient teaching with few images created per product for high targeting accuracy
- reliable recognition of different shapes and sizes of the dishes
- uncomplicated integration into existing IT landscape
- Various payment systems such as employee ID cards or debit cards
- Available as camera with stand at the existing cash desk or as invisible installation in the ceiling
The database of the software is already comprehensively filled with images of dishes and beverages. This means that only a few images per product are required to teach the dishes: simply photograph the dish with the plate scanner and assign it to the dish stored in BackEnd. The plate scanner thus achieves a recognition rate of 99 percent, with detection taking place within fractions of a second.
- PC / Cash desk
- Intel i7 processor
- 16 GB RAM
- 256 GB SSD SATA III
- 15'' frameless Projected Capacitive Touch
- LAN / WLAN
- Operating system Windows 10 IoT 64 bit preinstalled
- Compact modular network camera
- Focal length - 3.7mm
- Lens mount - fixed focal length
- Angle of view Horizontal (FOV) - 57
- Resolution standard - 1280×720
- Power supply - POE
- Power over Ethernet - IEEE 802.3af
- Optional with camera arm
"The software is already so extensively fed with dishes and data from canteens and restaurants around the world that this results in high recognition rates. Even if the software has never seen a dish before, it recognizes about 99 percent of whether it is a main course. For each new dish, we therefore only need a single image."
Alexander Hirner, CTO Dishtracker