Restaurant clients counter
The “Restaurant clients counter” module is based on Artificial intelligence and tailored to count customers and clients seated at a table of a restaurant, café and other public establishment.
Restaurant clients counter can be used in the following establishments:
- Restaurant
- Café
- Mall
- Food court
- Bar
- Night club
- Dining room
- Pub
- Any other café area
Use the “Restaurant clients counter” to count visitors sitting at a table in your facility automatically. Collect valuable marketing information and improve your business.
Any equipment:
Can be used on a regular computer with almost any camera
Flexibility:
Various reactions, integration with third-party systems
Realtime video:
Works with real-time video streams, no delays. The more fps, the better!
Cost-effective:
The module is available to purchase additionally and add e.g. to Xeoma Standard license. Licenses are lifetime.
Create the following module scheme: “Universal camera” – “Restaurant clients counter” – “Preview and archive” in Xeoma (you can add more modules):
In the “Restaurant clients counter” module, you need to select areas with tables. Each area (a separate table) has its own ID. There can be any number of such areas (tables) for the camera (the main condition is that people are clearly visible in the frame).
Next, the module begins to monitor each table. It finds people there with the help of AI and counts them. Next, it writes this information into a .csv log file and/or transfers it to an external user database. The database must be PostgreSQL. Users can configure it themselves. The data from this database is also specified in the “Restaurant clients counter” module’s settings.
1. Download Xeoma from our site and launch it. Make sure you are using Xeoma in Trial mode or activate your Xeoma licenses (Xeoma Standard/Pro + additional license for the “Restaurant clients counter” module).
2. Add a camera or wait while Xeoma adds cameras found in your network automatically.
3. Add the “Restaurant clients counter” module to the chain.
4. In the module’s settings select areas with tables.
5. Set up desired reactions to the event – for example, writing into .csv log, Mobile notification, or your own reaction.
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July 3, 2024
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