Smart City

Using vision technology to streamline and enhance traffic management, detecting vehicles on the road, and optimising waiting time to control and monitor traffic.

Leveraging the power of machine learning and AI to detect and prepare for extreme weather and other hazards, as well as helping with disaster management by communicating responses.

Computer vision systems coupled with high-definition surveillance cameras can be used in image recognition and be implemented to detect violent behaviour, prevent retail theft and crowd disaster.

With the emergence of artificial intelligence and the deployment of street view imagery to predict strategies and guidelines for urban management and renewal, reducing economic resources and time.

Vision-based occupancy has enabled companies to reduce unnecessary building energy loads - i.e. human-centric heating, ventilation, air conditioning, and lighting control to improve building energy performances.

Artificial intelligence, machine learning, and robotics has resulted in systems to recognize visual inputs and maximise the efficiency of waste collection and recycling.