Applications

Continuously log workstation status to understand uptime, spot interruptions, and improve resource alignment.

Detect intrusion events in pre-defined areas by identifying the target's position, date and time.

Unsafe equipment use turns essential tools into severe liabilities.

Discover ways to implement computer vision in business. Explore the practical examples, challenges, and opportunities involved.

Identify machines running without oversight or workers in unsafe positions to prevent risk and maintain control.

AI-powered near-miss detection drives home the idea that a proactive safety culture extends beyond reactive incident reports and training.

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

Automatically identify suspicious or dangerous objects placed in public places.

Monitor the time vehicles spend at scheduled stops without moving to increase efficiency.

Use cases of computer vision in EdTech and real-world applications of computer vision in education at schools and universities.

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

Computer vision in logistics uses AI and deep learning to automate, save costs and accelerate manual processes throughout the supply chain.