Manufacturing

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

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

Computer vision is highly disruptive across all industries. To enable computer vision in real-world applications, organizations have to manage the entire lifecycle of applications.

About the impact and ROI of the Viso Suite Platform and benefits of end-to-end computer vision.

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

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

AI-based ergonomic risk analysis using cameras to detect the human posture of employees.

Use cameras for automated object counting with deep learning.

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

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

Monitor social distancing between people, identify high-risk areas and non-compliance.

Automatically detect unmasked people in public spaces or indoors.