Vision & Sensors

RSS

Companies face a pivotal decision when choosing a machine vision system: develop in-house or partner with a system integrator. Balancing control and expertise against potential challenges is essential, and key factors like expertise, time, budget, and complexity must be evaluated.

Automakers are embracing automated bin-picking to overcome manufacturing challenges, leveraging cutting-edge vision-guided robotics to boost efficiency in their processes.

Machine vision is transforming modern manufacturing. Innovations like event-based imaging and AI-driven tools are revolutionizing quality assurance and efficiency. This article examines key trends, highlighting breakthroughs in imaging, industrial streaming cameras, area scan sensors, and intelligent software that set new standards for precision and performance.

Explore the role of industrial Ethernet switches in machine vision applications, highlighting key factors for selecting a switch that meets the high bandwidth and data rate demands and our focus is on GigE Vision cameras, the most commonly used protocol in industrial networks and machine vision today.

As technology advances, a key debate centers on AI versus the human eye in inspection. Both manufacturing and medical sectors are questioning whether AI surpasses human vision or if the human eye still holds an undeniable advantage.

Manufacturers are turning to automation amid a labor shortage, with 67% of U.S. companies unable to attract talent and 622,000 job openings as of January 2024. In Europe, 75% of employers face similar challenges. The push for reshoring and tariffs intensifies the demand for automation.

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective implementation relies on precise lighting to ensure high-quality images, with different applications requiring specific setups, such as backlights for measurements and line scan lights for fast-moving materials.

The combination of closed loop quality systems and AI-driven machine vision is transforming manufacturing by enabling real-time adjustments and proactive problem-solving.

Event-based vision technology addresses challenges in industrial machine vision, such as data overload and the need for real-time processing, by efficiently capturing changes in a scene with high speed and low power consumption.

A3 President Jeff Burnstein shares insights on the growing automation trend, highlighting advancements in humanoid robots and autonomous mobile technologies aimed at enhancing productivity and safety across industries.