Machine vision for defect detection and recognition has evolved from classical image‐processing workflows—such as thresholding, edge detection and template matching—to sophisticated deep learning ...

Business competition pressures manufacturers to produce faster, reduce expenses, and increase efficiencies. But all these requirements run into the quality control issue sooner or later — with the ...

Smart Manufacturing relies on perfect quality control, yet many vital checks, like visual inspection of finished products, are still done manually. In high-volume production, this human-led process is ...

Computer vision has been around for decades, but in recent years, this technology has been advancing by leaps and bounds. Computer vision is an application of artificial intelligence (AI) that's able ...

Scientists have developed a novel method that uses live video feed to detect shadows on solar panels. It uses computer vision techniques, such as gamma transform and histogram matching, resulting in ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...