Unmanned vending machine, a rookie in the unmanned vending machine industry

In the past two years, a new type of unmanned retail equipment and unmanned vending container has appeared. Its main feature is to scan the code/face to open the door, and automatically settle after the product is closed. The shopping experience is very good. The door opening method is divided into text scanning and face scanning, and the recognition method is divided into static recognition and dynamic recognition. Overall working principle: The unmanned vending cabinet developed by haloo represents the development trend of unmanned retail terminal equipment, which is equivalent to a combination of traditional refrigerators and intelligent unmanned vending machines, which can reduce manufacturing costs while providing certain Risk control measures. The shopping process of this model is more concise, customers open the door with their face, and automatically settle after taking the goods and closing the door! Relying on artificial intelligence and big data technology to perform image and video recognition of products and customers, so as to determine which customers have taken which products, so as to automatically settle in the Alipay account, and the shopping history process can be checked throughout the whole process, which is safe and guaranteed. Recognition difference: static recognition, there is a separate camera on the top of each shelf of the unmanned vending container. The camera will take pictures at regular intervals and automatically upload to the back-end server system. The back-end system compares the photos before and after in real time to determine which products the customer has taken. . This technology recognizes still photos. Dynamic recognition, only two cameras are set on the top of the unmanned vending cabinet, a main camera looking vertically downwards and a secondary camera looking diagonally downwards from the top side, which is equivalent to the relationship between the leader and the wingman. They cooperate with each other and capture The video stream is uploaded to the back-end server in real time, and the back-end system analyzes the received video in real time and analyzes which products the customer has taken. This technology recognizes dynamic video. Compared with static recognition, dynamic recognition has higher requirements on wireless network bandwidth and data analysis capabilities of the background system. After 5G networks become popular, dynamic recognition will become the mainstream recognition method.

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For Haloo Automation Equipment Co., Ltd as a whole to adopt an attitude of acceptance toward change and technological innovation, we first have to truly embrace it and practice what they preach. Technological development needs to be more than just another investment, but a complete integration.