Using vision technology to streamline and enhance traffic management, with Object Detection technologies to detect vehicles on the road, and optimizing 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. Segment areas of interest and train a model that improves over time and integrates it with disaster management tools.

Incorporate computer vision capabilities with existing security and surveillance hardware. Detect violent behavior, and prevent retail theft and crowd disaster management across multiple sites.

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, such as human-centric heating, ventilation, air conditioning, and lighting control, thereby improving building energy performance.

Artificial intelligence, machine learning, and robotics have resulted in systems to recognize visual inputs and maximize the efficiency of waste collection and recycling. Classify different types of waste quickly and easily with state-of-the-art Classification models.