Applications

Area-based people counting in real-time using common surveillance cameras.

Detect unexpected vehicle stops, anomalies, and dangerous situations automatically.

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

This blog explores how AI and computer vision are transforming forestry management. From monitoring forest health with drones to detecting illegal logging with satellite imagery,

Eye tracking and gaze detection for monitoring the attentiveness and stress levels.

Before safety begins on the floor, it starts with the operator behind the controls.

Log transition times and wait periods to improve shift handoffs, reduce idle time, and streamline operations.

From targeting profitable sites to enhancing productivity and automating operations - AI is revolutionizing the mining industry.

Automated vision-based fall detection system to recognize human falls.

Vehicle encroachment monitoring is part of a broader trend toward proactive safety management.

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

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