The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

The brain detects 3D shape fragments such as bumps, hollows, shafts, and spheres in the beginning stages of object vision—a newly discovered strategy of natural intelligence that Johns Hopkins ...

image: Inspired by the effortless way humans handle objects without seeing them, a team led by engineers at the University of California San Diego has developed a new approach that enables a robotic ...

Robotic vision has come a long way, reaching a level of sophistication with applications in complex and demanding tasks, such as autonomous driving and object manipulation. However, it still struggles ...

Machine vision systems are used to perform complex visual inspections for robotic applications, reporting precise, multi-dimensional feedback on the target part in the language robotics can understand ...

NA explained that traditional manufacturing setups are limited by their tailored to specific product lines. CynLr hopes to address this global challenge through product-agnostic robotic assembly lines ...

The brain detects 3D shape fragments (bumps, hollows, shafts, spheres) in the beginning stages of object vision - a newly discovered strategy of natural intelligence that researchers also found in ...

The latest version of Vision Components' VC Smart Finder software, acontour-based object-recognition program for a wide variety of manufacturingapplications, scales objects and reliably matches them ...