The GiConnect solution was developed in less than 2 weeks using VANTIQ’s real-time application development platform. This application monitors coronavirus outbreaks within hospitals, schools, commercial buildings, etc. The solution performs facial recognition and correlates data between various IoT devices. The system tracks people’s movement history to identify possible infection areas in real-time.
Using temperature measurement and facial recognition devices at the entrance of the building, the system can effectively monitor body temperature and identify people even when wearing a mask. When the temperature of a person exceeds the threshold, an automatic warning is issued to the operational control center in real-time. The control center then immediately notifies the relevant departments for prevention and control arrangements.
To reduce the possibility of disease spread, the office area is divided into different sections according to function. Employees can be active in their department area, while visitors’ activities are limited to specific areas of the office. The system can differentiate between employees and visitors. With Giconnect's advanced indoor positioning system, the range of motion of visitors can be detected. If there is cross-regional activity, the system will automatically alert the operational control center.
The Giconnect solution can also analyze people’s trajectory for early warning. Through Giconnect's video structured processing capabilities and AI technology, the body temperature tag will be displayed on the target person, along with other appearance features tags such as hair color, clothes, shoes, and backpacks. Through multi-camera tracking, the system can analyze where an infected person's movements and interactions. The system will notify potentially infected people via real-time push notifications.