Two interfaces—GigE and USB—have been dominating the machine vision industry for the last five years. One supports long cable lengths and easy integration of multiple cameras, while the other offers higher bandwidth and true plug-and-play convenience.
The Inspekto S70 offers powerful quality assurance capabilities in a small, versatile and practical package. Suitable for any handling method, product type and material, the S70 is up to the job, no matter what the visual QA task.
The machine vision industry is primed for continued growth in the coming decade. Built on the rapid advancement of smarter, smaller, faster and cheaper sensors and processors, the industry was estimated at about $7.9 billion in 2017. By 2023, it could grow to about $12.29 billion, according to according to a study by Research and Markets, growing at an annual rate of almost 8%.
USB Type-C, also known as USB-C, is the latest USB connector developed by the USB Implementers Forum (USB-IF). It was designed to gradually replace all previous USB connector types¹, including USB Type A, Type B, Mini and Micro USB. Since 2015, USB Type-C has been widely adapted in a great number of laptops, mobile phones, and storage devices in the consumer electronics market.
Due to the vast number of imaging lenses that are available on the market, actually choosing a lens for a given application can be a daunting task. Part one of this article covered the most common types of lenses used for machine vision.
When several devices need to be accurately sequenced in a machine vision system, the usual solution was to program a PLC to generate the necessary signals. However, a PLC is a significant investment and requires specialist knowledge to program the Relay Ladder Logic.
The VISION Award jury cited the company's high technological standards and the outstanding innovation of its submission, which reveals a completely new approach to the 3D acquisition of moving objects.
The use of industrial vision as part of Industry 4.0 and smart factories has been discussed extensively in recent years, but requires machines to speak the same language.
Machine vision systems consist of several component parts, including illumination, lenses, camera, image acquisition and data transfer, and image processing and measurement software.