Backgound:

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 over 100 countries. In Kuwait, McDonald has opened more than 60 branches around the country.

At present, Kuwait is suffering the epidemic situation under COVID-19. In order to effectively prevent the spread of Covid-19, the flow of people from areas with high incidence of the epidemic should be properly 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 was unlocked, McDonald Kuwait used some UNV OET wrist temperature and forehead temperature screening products to detect abnormal guest temperature, so as to ensure the continuous operation of the restaurant securely.  

Uniview is the pioneer and leader of IP video surveillance. During the epidemic, Uniview is committed to developing and upgrading advanced equipment to prevent COVID-19. UNV OET wrist and forehead temperature screening products used by McDonald Kuwait are two non-contact products that can effectively avoid cross infection

For better inspection, a temperature measurement module is introduced by Uniview to help McDonald Kuwait facilitate the temperature detection of floating personnel by cooperating with the use of face recognition access control in each entrance and exit.

Product highlights:

1. Deep learning algorithm model based on UNV independent intellectual property rights, the accuracy rate of face recognition is more than 99%, and the error rate is less than 1%.

2. Support the detection of wrist distance to improve the accuracy of temperature screening.

3. Non-contact wrist temperature detection module, measuring range  between 30℃ and 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and the measurement distance is between 1cm and 4cm. 

4. Real-time temperature detection and screen display, high temperature alerts and voice reminder

Through the process of automatic face recognition and temperature measurement, the solution can be applied to various scenarios, such as schools, enterprises, communities, supermarkets, shopping centers, construction sites and banks.