Manufacturing

A practitioner’s guide to computer vision: from pilot to production
Join a 45-minute webinar on implementing computer vision to boost efficiency, reduce risk, and scale smarter operations with real-world use cases and actionable strategies across

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

Work-at-height detection
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.

Harness detection
Intelligent harness detection brings a new layer of precision to workplace safety for risk reduction, compliance improvements, and, most importantly, personnel protection.

Equipment inspection
Intelligent inspection, powered by visual AI, is helping companies see more, act faster, and prevent problems before they happen.

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

Applied Computer Vision: Which Industries Benefit the Most?
Which industries will reap the most value from computer vision? We discuss the applications where visual intelligence makes a difference.

Popular applications of computer vision in manufacturing
Find the applications and most popular use cases of computer vision in manufacturing. We will cover real-world applications of how manufacturing companies can use deep

Predictive maintenance of heavy machinery
Construction and manufacturing companies employ computer vision for predictive maintenance on heavy machinery with high accuracy.

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

Automatic Number Plate Recognition (ANPR) Guide
Easy to understand guide about Automatic Number Plate Recognition (ANPR). How it works, benefits, and real-world use cases.

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