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.
Have you heard of Line Confocal Imaging (LCI)? Perhaps not, since the technology is relatively new to the already high-tech, high-resolution 3D measurement industry. Companies like Axiom Optics are dipping their toes in the water with STIL’s line of noncontact, chromatic confocal sensors.
With the continually increasing demand on framerates, bit depths, and resolution, interface standards must adapt to these changes with new ways to transfer data with increased speed and robustness.
High bandwidth is essential when transmitting big data volumes in image processing systems. However, available interface technologies like GigE or CoaXPress are the bottleneck when talking about bandwidth. By pre-processing the image in the camera and applying data compression technologies this bottleneck can be mitigated.
North American sales of machine vision components and systems grew to $2.3 billion in 2016, its highest annual total on record, according to statistics issued by AIA.
When you are setting up a machine vision system, your choice of camera will depend on the objects that you want to inspect, the necessary speed, lighting and temperature, and available space. And not to forget—the system costs.
3D imaging means different things to different people. While 3D imaging has been around in some form for decades, technological advances have brought it to new applications, thanks in part to improvements in image sensors, standardization of interface technologies and increased demand for new solutions for more complex imaging needs.