There has been a lot of talk (us included) about the use of CMOS image sensors taking over CCD image sensors in machine vision. Recent data reported in the 2012 AIA Machine Vision Camera Study, shows that the opposite was true in 2011. We at Adimec still believe CMOS image sensors will gain significant adoption in machine vision in the coming years, which we will explain further in another blog.
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.
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?