The average inventory accuracy rate is 83%, and while that seems like a fairly high number, the missing 17% can have a considerable impact on retailers. To best serve customers, it’s crucial to ...

Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Faster self-service shopping. Self-service kiosks and checkouts powered by computer vision offer personalized, faster shopping. Imagine a store where shelves are never empty, checkout lines are a ...

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.