Dragontail Systems Ltd. updated its patented artificial intelligence (AI))-based computer-vision quality management system, the QT AI camera, to detect cleanliness and sanitation. These enhancements are announced in conjunction with the company's launch into the U.S. market and opening of an office in New York.
In addition to monitoring key elements during the preparation and packing process, including the quality and accuracy of ingredients and temperature of the food, these enhancements combat the spread of the Coronavirus disease (COVID-19) by detecting the presence of gloves and masks, and how often equipment and workspaces are sanitized and replaced. This information is closely monitored by managers and can be shared with the customer to ensure service compliance with defined quality standards.
"Dragontail Systems' technology will empower fast-food services and restaurants of any size to address the growing concern of health and safety during the coronavirus pandemic," says Ido Levanon, CEO and Director of Dragontail Systems. "Our unique AI camera already helps hundreds of stores recognize even the smallest of errors often undetected by the human eye, for example pizza toppings above and below the cheese, or even the food's temperature. Now we are upgrading our technology to monitor processes that may lead to virus spread or contamination. In doing so, we expect to develop more impactful insights that foster transparency and ensure quality standards set by the businesses and the end-customer."
The new QT AI Camera, in conjunction with Dragontail's Algo Dispatching Systems, fully optimizes and automates the kitchen and dispatching flow, including order receipt and kitchen prioritization for meal preparation, as well as food packing, dispatch, route management and delivery. By optimizing the entire restaurant operation, Dragontail Systems can turn any restaurant into a delivery powerhouse within just a couple of days.
"The food industry needs an edge-complete solution that is specially customized with the end product in mind. Our system is designed to take on the role of the super manager, processing every relevant data point inside and outside the restaurant and taking into consideration multiple variables such as number of orders and locations of customers and drivers, in order to optimize decisions at every point in the supply chain. This enables us to work directly with our customers to find more ways to streamline operations while bringing in more business, guaranteeing meals arrive hot and fresh, reducing costs and increasing repeat-customers," adds Levanon.
At all times, the system enables real-time employee management that drives critical business decisions while calculating relevant variables that lead to more accurate and faster deliveries, as well as improvements in customer satisfaction and food quality and safety, all of which impact the bottom line.