It is understood that this AI temperature measurement early warning system is the use of artificial intelligence, cloud computing big data and other technologies to achieve crowd temperature monitoring. Through its own configuration of the thermal imager will detect the heat of the passers-by for accurate quantification, presented to the detection end, artificial intelligence can be real-time monitoring, once the temperature is found to be abnormal, it will be automatic sound and light alarm, artificial intelligence immediately mark the abnormal people, and will be its mobile route trajectory recorded, to facilitate the epidemic screening.
Temperature measurement early warning system in the application of what advantages? Hu Yang said that this is designed for intensive crowd, characterized by temperature measurement coverage, can be realized in front of the 5-meter fan-shaped range of crowd temperature measurement; temperature measurement is accurate and fast, the temperature difference is not more than 0.05 degrees Celsius, the crowd walks through the machine does not need to stay in front of; according to the needs of different environments, the system can be combined with face recognition to achieve intelligent access control, time and attendance punching, and intelligent identification of temperature abnormalities in the identity of the person. The system can be combined with face recognition to realize intelligent access control, attendance clocking, and intelligent identification of people with abnormal body temperature.
Hu Yang graduated from the National Defense University of Science and Technology, had 24 years of civil service career. The sense of mission and ambition to do something to make him give up a stable life, more than half a hundred years, resolutely chose to start a business, entrepreneurial direction is very hot at the time of artificial intelligence. 2016, Hu Yang set up a team, mainly focusing on the need for robots to collaborate on the scene, and the development of robotic products to meet the needs of the market. Making robots smarter was the team's main focus. Years of development, they teach robots the skills of fast action, problem solving ability, and their research and development in the field of artificial intelligence has lived up to its reputation, obtaining more than 80 self-research patents and more than 20 software copyrights.
In the face of the need for real-time temperature measurement in supermarket hypermarkets during the epidemic, Hu Yang's team combined their AI technology to develop an AI temperature measurement and warning system for intensive populations, which reduces contact during temperature measurement and allows for precise monitoring. At present, the system has been put into use in a store of CR Vanguard Shenzhen, so that temperature measurement from point to surface, more accurate and convenient.