One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Since the early years of artificial intelligence, scientists have dreamed of creating computers that can “see” the world. As vision plays a key role in many things we do every day, cracking the code ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Since the early years of artificial intelligence, scientists have dreamed ...

We are living in an age of turbocharged commerce and next-level consumer expectations. Customers will not hesitate to return a product that has a scratch or a food item past its expiration date.

We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work ...

Picking up unrecognized objects is largely an underdeveloped area of machine vision. CynLr is solving the problem with a product-agnostic robotic assembly line. In all industries, pursuing one ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. In the race to enable manufacturing plants to increase production ...

You’ll often see inventory-management experts comparing machine vision and radio frequency identification (RFID) technologies to each other when helping people determine which one would work best for ...