Applications

Real-world applications of computer vision in Smart City use cases: The most popular and valuable deep learning systems for Smart Cities.

Computer Vision in Insurance leverages AI vision for risk management, automated risk assessment, claims management, and process monitoring.

Computer vision systems on worksites can enhance safety by monitoring behavior around restricted areas and hazardous zones in real time.

Enterprise-grade computer vision provides firms with a powerful tool to monitor work-at-height by spotting issues before they escalate to improve safety outcomes across the board.

Perform facial analysis to detect attributes such as gender, age, emotion and more.

Crowd detection application to identify human movement trajectories in public spaces.

Explore how computer vision infrastructure assists in the development and improvement of renewable energy and resources.

Pinpoint bottlenecks and process slowdowns to help teams improve flow, reduce delays, and drive consistency.

Track machine usage and downtime to reveal inefficiencies, support maintenance, and optimize output.

Product detection uses deep learning to detect different product types automatically.

Vision-based fall detection systems to detect accidental falls: A deep learning application to support elderly people.

Monitor material readiness at key steps to ensure supply keeps pace with production and reduce stoppages.