International. A McDonald's restaurant located in Kuwait installed a Uniview temperature detection system in order to ensure the restaurant's continued operation safely.
McDonald's is the world's leading quick-service restaurant chain with more than 36,000 restaurants worldwide, serving more than 69 million customers daily in more than 100 countries. In Kuwait, McDonald's has opened more than 60 branches across the country.
At present, Kuwait is suffering from the epidemic situation under COVID-19. To effectively prevent the spread of Covid-19, the flow of people from areas with high incidence of the epidemic must be adequately controlled. Restaurants are seen as places where people gather and guests come from different places, so the risk of infection in restaurants is very high. For COVID-19, abnormal body temperature is one of the symptoms of pneumonia.
On the first day after the city opened, McDonald Kuwait used some UNV OET wrist and forehead temperature detection products to detect the abnormal temperature of guests.
For better inspection, Uniview introduces a temperature measurement module to help McDonald Kuwait facilitate temperature detection of floating personnel by cooperating with the use of facial recognition access control at every entrance and exit.
Highlights:
1. Deep learning algorithm model based on intellectual property rights independent of the UNV program, the accuracy rate of facial recognition is more than 99%, and the error rate is less than 1%.
2. Support wrist distance detection to improve temperature detection accuracy.
3. Non-contact wrist temperature detection module, measuring range between 30°C and 45°C, the measurement accuracy can reach 0.1°C, the measurement deviation is less than or equal to 0.3°C, and the measuring distance is between 1cm and 4cm.
4. Real-time temperature detection and display display, high temperature alerts and voice reminder
