I am looking for a camera which rejects parts with incorrect drillholes.
Everyday, we receive such inquiries. Often prospective customers are surprised when we answer:
Sorry, but cameras can't do that.
This article will show why a complete machine vision system is required to solve the above mentioned problem and which part of the work is allocated to the camera. The article mainly address system engineers who are about to take first steps in the world of machine vision.
A machine vision system consists of 5 basic components: illumination, optics, camera, computer and software. At first glance, the camera is the source of the image. But actually, the image is created by the illumination. The CCD chip transforms the photons encountering it into an electrical signal. The camera electronics digitizes this electrical signal and make it available as a "Raw digital image". The computer - or rather the software it runs - uses this raw digital image for two basic tasks: Visualization and/or automatic image analysis. Automatic image analysis is, however, only reliable in the case of controlled illumination and simple objects. In the context of visualization, the illumination's influence on the resulting image should not be underestimated.
Post published by TIS Marketing on April 14, 2008.
Established in 1990, The Imaging Source is one of the leading manufacturers of industrial cameras, frame grabbers and video converters for production automation, quality assurance, logistics, medicine, science and security.
Our comprehensive range of cameras with USB 3.1, USB 3.0, USB 2.0, GigE interfaces and other innovative machine vision products are renowned for their high quality and ability to meet the performance requirements of demanding applications.