In recent years, under the impact of the Internet wave, intelligent construction in all walks of life has achieved rapid development. Among them, in the catering field, the market size of the smart canteen is growing rapidly at a rate of 100% per year, becoming a new growth point for the catering industry. The development behind the rapid construction of smart canteens is inseparable from the application of cutting-edge technologies such as the Internet of Things, big data, and mobile intelligence. In recent years, the breakthrough development of artificial intelligence technology has also been made, and the smart canteen has also kept pace with the times and developed an AI dish recognition technology system. Use the system application with the smart dining table equipment for small bowl dishes to realize the dish recognition function.
AI dish recognition technology system overview
AI dish recognition system, as the name suggests, is based on image recognition technology automatically recognizes to dish information, and classifies dishes through the deep convolution neural network , and quickly matches the target dish information from the dish library. The principle is to analyze the color, shape, size and other characteristics of the dishes through the system, so that the system can independently learn and train these dishes samples, compare them with the stock samples, and use manual error correction capabilities in the early stage, so that the accuracy of dishes recognition can reach more than 99%, and the recognition calculation can be completed within 1 second and the recognition results can be output.
AI dish recognition technology system functions:
dish recognition function: use AI image recognition technology and core training-free algorithm, with the characteristics of accuracy, diversity , and autonomy. The new dishes are registered and used in three steps, without the need for a large number of pictures and special tableware, the system will automatically complete the price calculation; up to 40 dishes can be identified, with an accuracy rate of up to 99.6%, and can also be identified for casseroles, fruits, milk and other foods.
self-selected meal line, AI dish recognition application scenario
AI dish recognition technology is applied in the small bowl dish self-selected meal line, replacing the RFID technology used in the past meal line. No special meal bowls or production steps are required. You only need to take 3-6 dishes pictures from different angles in advance to achieve the training-free recognition function. After serving, place the plate in the AI smart dining table recognition area. The AI camera can automatically identify the dishes and complete the pricing, significantly improving the operating efficiency of the canteen.
Technology is the primary productive force, and innovation and upgrading are the internal driving force for the sustainable development of smart canteens. In the future, more cutting-edge technologies will be applied in the field of smart canteens to realize demand analysis and service reconstruction, and create higher value for users.
