Getting started with machine vision and automated inspection is easier than ever, despite the gap between hobbyist and industrial tools. You can make significant progress with dedication by using rapid prototyping, open-source tools, and engaging with a supportive community.
Quality professionals are using statistical tools, originally meant for product quality control, to tackle climate change. For example, control charts that monitor manufacturing variations are now tracking energy consumption, identifying spikes, and measuring carbon emissions.
Amid the AI hype, we should ask if we're using it to achieve specific goals or just for the sake of it. The value of AI lies in its real-world application, not just as a buzzword. It's important to stay focused on our objectives and the challenges we aim to solve.
A race inspired Dr. Rochelle Cook to share her insights on validation studies, also known as pilots. This type of trial can benefit manufacturers in a variety of ways, by testing a process, system, or product.
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.
Lucid Vision Labs, Inc. has expanded its Atlas®10 series with the release of a new high resolution model featuring onsemi’s XGS 45000 CMOS global shutter image sensor.
The configuration of any machine vision system is dictated by the application’s demands, which include resolution, field of view, frame rate, speed of production, and interface requirements.
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.