This blog post is repost of the following regarding considerations with rolling shutter or global shutter modes for CMOS cameras that we thought you would find interesting:
Because it was the 25th Vision Show, and Adimec is celebrating our 20 year anniversary, we decided to look back on where machine vision has come from and where we are headed. Click here for more information on the origins of machine vision.
For many applications, machine vision cameras with increased resolution can offer advantages such as increased field of view or greater accuracy. Now ultra high-resolution cameras (greater than 12 Megapixels) are available with acceptable frame rates such as 12 Megapixels at 66 fps. With this change, there are some considerations…
The trend in 2011 towards increased CCD image sensor use over CMOS, was contrary to what was expected. We believe this is just a slow adoption of new technology and not an indication of any long-term trends. Regardless of the differing available data we still believe that CMOS image sensors will be used significantly more in machine vision. CMOS image sensors are just coming out the other side of the Hype Cycle as defined by Gartner Inc.
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.
While smartphones are affecting available image sensor technology, there are also advances in machine vision to support the production of smartphones.
Topics: Sensor Technology
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?