There is an on-going evolution happening in the type of image sensor best suited for various applications, with two camps firmly established: CCD and CMOS. There is a lot of talk of the increased market share for CMOS sensors. We have dedicated several posts to this topic and the advantages and disadvantages of each technology for specific applications. In case you missed them before:
For intelligent traffic systems, VGA resolution CCD-based cameras have traditionally been the accepted technology, but with the quality of CMOS image sensors continuously improving, CMOS-based cameras are now a viable option for demanding license plate recognition applications. The latest system requirements are for higher resolution (HDTV) and frame rates of 30 to 60 frames per second as well as all of the following: color, NIR sensitivity, high dynamic range, and low noise at high gain. Imaging systems for traffic are exposed to extreme lighting and temperature conditions which affect the image quality. So what are the advantages and disadvantages of choosing a camera based on a CMOS image sensor versus a CCD image sensor?
In February 2011, we provided an analysis on the use of CCD versus CMOS image sensors in machine vision.
The Vision Trade Fair 2011 held in Stuttgart November 8th to 10th was the most successful to date, with 323 exhibitors breaking the 300 mark for the first time as well as setting a new visitor record of 6,752 highly qualified visitors. This is great news about the growth of the machine vision market!
Topics: Sensor Technology
OEM system developers typically consider industrial video cameras that contain a particular image sensor, and then base their final decision on baseline needs such as camera outline and unit price. While the image sensor selection is important, the fact that several cameras use the same image sensor does not mean the cameras from different vendors will produce the same image, or even meet the requirements of specific vision applications. But what parameters are determined by the camera and how can you determine the right fit for your system?
Why is it that cameras for consumer electronic products, e.g. smart phones have more than 5 megapixel tiny cameras that cost next to nothing, are not used for machine vision?