As bulk logistics operations face tighter turnaround windows and zero tolerance for unexpected downtime, paper clipboards can ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

Many smaller manufacturers assume they are already behind. But in truth, most of the industry is still early in the AI ...

In a landmark move to advance Vision-AI solutions in India and Japan, Calligo Technologies announced a strategic ...

The automaker is embedding AI across its value chain, from analysing 1.6 billion customer interactions and designing software ...

Drones can inspect hard-to-reach assets and perform inventory scans with minimal disruption. Emerging payloads such as thermal sensors and lidar expand drone capabilities for predictive maintenance ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how this approach helps manufacturers catch errors early and reduce defects. In this article, we ...

This research presents a deep learning-based automated product defect detection system to address limitations of conventional manual inspection techniques that are labor-intensive and prone to errors.

The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to establishing an efficient and reliable inspection system for road safety.