Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

WASHINGTON — Researchers have developed and demonstrated a new system that can detect defects in silicon solar panels in full and partial sunlight under any weather conditions. Because current defect ...

WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...

The system combines software that applies a modulated electric current to the PV panels and an indium-gallium-arsenide (InGaAs) photodiode detector that takes a sequence of images of the panels.

A team of researchers at KAIST has developed a new AI technology that maintains high defect detection accuracy—even when manufacturing conditions change—without requiring costly retraining. The ...

As IC devices get smaller and smaller, the challenge of detecting faults becomes bigger and bigger. Tamar Technology designs and manufactures application-specific automated visual inspection and metro ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...

Researchers describe how a unique combination of new hardware and software allows defects in solar panels to be clearly imaged and analyzed even in bright light. Researchers have developed and ...