Applications

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

Learn how computer vision systems can be applied in the real world for automating traditionally manual and time-consuming defect detection.

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

Two-person tasks exist for a reason: the risks are too great for lone work.

Automatically identify suspicious or dangerous objects placed in public places.

Identify and reduce unnecessary motion or travel that adds cost without contributing to output or quality.

Intelligent PPE detection helps companies move from reactive oversight to proactive prevention.

Real-world applications of computer vision in aviation: From airplane recognition to runway management, airport security, and aerial robotics.

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.

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

Vision-based occupancy detection of public spaces and buildings.

Automatically detect weapons in real-time video streams.