The famous quote "Adapt or die" applies to businesses like Kodak and Blockbuster, which missed out on opportunities by not embracing new technologies. This concept also applies to industries like manufacturing and logistics today.
No matter the industry or application, all machine vision systems require light – whether visible or non-visible – to capture images. High quality output relies on high quality images, which require adequate lighting.
Lighting represents a crucial consideration when designing and specifying a system, as it is fundamental to image quality. Understanding how lighting impacts the rest of the system lays the foundation for system success.
Computational imaging technology has found its way into industrial automated inspection, where the creative use of illumination components has emerged as an enabling technology providing valuable imaging capabilities.
One constant in the ever-evolving machine vision space is the need for high-quality, consistent lighting. New challenges in the design and specification of machine vision systems require an innovative approach to lighting selection.
“Garbage in, garbage out” serves as a simple reminder that successful machine vision systems must start with quality data. Current challenges require flexible machine vision systems and models that can keep up with the speed of technology.
Quality assurance during high-volume production operations, such as the inspection of consumer packaged goods (CPGs), is possible only through the application of high-speed machine vision systems.
You may not have noticed it, but there’s been a trend creeping into most of our lives. Its origins are rooted in consumer expectation. Consumers want to hold up their cell phones and snap the perfect selfie with the sun setting over the beach behind them. And they want to create panorama shots that challenge the best of wide angle lenses.