Developed by Dragontail Systems.
The company launched a unique quality control sensor and camera system for pizza shops and other QSRs worldwide, following a successful pilot and field trial.
The sensor and camera system, known as the Camera Cut Station Unit (CCSU), upgrades customer service while reducing labour and food costs, thereby improving a restaurant’s financial performance and client satisfaction with absolutely no interference to a restaurant’s kitchen flow.
The CCSU is the first in the world to monitor key elements in a kitchen during the preparation and cooking process to improve the quality and consistency of pizzas and other meals that a restaurant is producing.
In the scenario of a pizza shop, the camera can automatically send a photo of a pizza directly to a customer’s mobile device when the meal is ready, including the temperature and the time it came out of the oven.
The system contains wireless sensors that monitor the temperature of the food in the oven, as well as the fridge and kitchen, and can immediately alert staff to any issues. At the same time, the mounted camera analyses the quality of ingredients to ensure that the correct ingredients have been used in the preparation of a meal.
The CCSU system uses the most advanced machine learning technology, which improve the system’s diagnostics over time. The system can also be modified upon request for other types of food, such as burgers, tacos, sushi or sandwiches.
Restaurants pay an initial fee of around US$1,950 for the camera, and then an ongoing US$50 monthly licensing fee.
The CCSU is the second Dragontail product designed for the quick service restaurant market. The company’s core product is the Algo Dispatching System, which is a solution that completely revolutionises restaurant operations by integrating the food preparation, delivery, marketing and Customer Relationship Management processes into a single GPS-based algorithm and management software.
Dragontail’s Managing Director, Ido Levanon, commented: “The CCSU uses the most advanced picture processing and analysis technology available and is able to continually improve its diagnostics over time. We believe that this system is unique in the QSR industry, and in conjunction with the Algo system, has the potential to completely revolutionise QSR operations and customer relations.”
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