Introduction
Cities and communities around the world are turning in large numbers towards using AI edge computing applications as a solution to many of their needs. From Smart City and Smart Community initiatives to Intelligent Building management and Smart Security, there are many AI edge based applications to help improve the quality of life and wellbeing of people who live in these cities, communities and buildings.
One way in which AI is being deployed is through the use of facial recognition and behavioral analysis to help improve safety and security in these communities. Facial recognition can help easily identify and track persons of interest, while behavioral analysis improves security with the use of virtual fences and identifying suspicious behavior. These technologies can even be used to track and locate missing and lost items. The benefits of these AI Edge technologies help create a higher quality of life through citizens feeling safer in their communities and homes.
One company in China is leading the deployment of AI Edge and Smart City solutions and has begun development of a new edge computing platform to power advanced facial recognition applications. This facial recognition system is designed to be deployed in a range of AI applications such as person of interest tracking for Smart Cities, intelligent security and access control in Smart Buildings, and identifying residents and non-residents in Smart Community roles.