Vision & Sensors

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You’ve learned about light sources, lenses, cameras, camera interfaces, and image processing software. Now, you may be wondering exactly how to design and implement a complete, successful machine vision system. 

Over the past decade manufacturers have increasingly turned to flexible, customizable automation platforms to meet the demands of high mix/low volume orders and ensure their long-term survival in a competitive manufacturing environment.

In the world of machine vision, as in any tech field, there is a distinct divide between hardware and software. The hardware includes components of machine imaging systems such as the physical camera, lensing, cable interfaces, the PC or processor, etc. and are defined by rigid specifications (i.e. resolution of a camera, processing power, bandwidth of interface). 

Artificial intelligence (AI) is one of the most hyped technologies of recent years, and while it promises new cost and process benefits for inspection applications, deployment remains a challenge.

Frame grabbers are essential components in machine vision systems that provide ultra high-speed, high-data image capture from one camera or multiple cameras simultaneously. 

Originally made popular by the introduction of Rethink Robotics’ Baxter, so-called collaborative robots have created a lot of excitement around the industry over the last few years.

Before the vast majority of manufacturers can successfully adopt the technologies and capabilities that industry experts have collectively labeled “Industry 4.0,” some serious work needs to be done. 

The EyeVision 3D software supports the new ZIVID One+. The 3D color camera generates point clouds with shape-by-shade 3D technology. With the EyeVision 3D software point clouds can be evaluated. 

Manufacturers in the automotive industry are striving to make the most of the current trend towards electric vehicles and low fuel consumption by building lighter-weight vehicles and favoring aluminum over iron.