AI visual recognition and computing technology can connect to cameras to collect videos and images. Then, through the training of AI algorithms, it can achieve applications in various industries. We know that in the past, store inspections required a dedicated person to conduct on-site visits to each store in order to obtain information about customer flow and sales in those stores. However, with AI visual recognition technology, by connecting to the video data from the cameras in the stores, it can provide stores with high-cost-effective AI services such as AI store inspections, customer flow analysis, and order completion analysis. In this way, the cumbersome store inspection work can be eliminated. Similar scenarios can also be applied to supervision work in some construction units and on construction sites. By using the video data from cameras and connecting to visual recognition technology, it can detect whether construction site workers are wearing safety helmets and safety vests. It can also be applied in kitchen spaces to detect whether chefs are wearing chef hats and whether restaurant service staff are wearing masks and give reminders. It can also be used in fire management and monitoring. By connecting to the cameras for fire monitoring, it can identify and remind of potential fire hazards. If there is smoke or a fire, it can also detect it. For example, the technology for identifying and refusing electric bikes on elevators is realized in this way. With these technologies, we have more possibilities in the field of visual recognition technology. Later, we will continue to explain to you various industry application cases related to AI technology. Alright, we are Yiyun Technology. Follow us. You need a reliable team.