In fast service restaurants where the customer buys their own food; The food and beverages purchased by the customer coming in front of the cash register will be detected by image recognition and automatically entered into the point of sale system (POS). At this point, the data entry of the cashier will be minimized and operational efficiency will be increased.
In table service restaurants, the environment will be monitored with the camera, and it will be determined by image recognition that the tables are full/empty, dirty/clean and whether the meal is finished or not. All these situations will be analyzed with the restaurant management system and necessary warnings will be given to the employees who manage the operation. Thus, it is aimed to increase operational efficiency.
Within the scope of the project, the data obtained through image processing and recognition will be transferred to the Cloud POS system developed by Protel and supported by Teydeb 1501. byteLAKE’s Machine Learning / Artificial Intelligence modules will perform images recognition and the results will be processed with the historical sales data in the POS system. In this way, the system will automatically decide on the food to be added to the customer’s account with deep learning and artificial intelligence.
EUROPE’S FOOD INDUSTRY: SMART OPERATION AND HIGH CUSTOMER SATISFACTION
1 February 2020
29 July 2022