Logistics

Computer vision is transforming how organizations monitor operations, detect risks, and optimize processes, without adding complexity.

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

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

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

Which industries will reap the most value from computer vision? We discuss the applications where visual intelligence makes a difference.

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

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

Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.

Use cameras for automated object counting with deep learning.

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

Computer vision in automotive industry applications uses deep learning to detect manufacturing issues, improve productivity and safety.

Learn how to develop a computer vision application for traffic analytics without coding, using the enterprise AI vision platform Viso Suite.