A camera inherits a lot of its characteristics from the sensor that is being used. This is a collection of our blogs that discuss the sensor technology and characteristics.
When determining the best metrology camera, one of the first considerations is to determine the dominant noise source. This can help you prioritize the most important camera parameters, such as sensitivity or dynamic range. In this post we will consider temporal noise sources that vary with time including shot noise and read noise. With this, it…
For many years CCD image sensors and cameras have offered advantages in image quality such as greater dynamic range, better noise performance, and better uniformity. For this reason, CCD cameras were still used in many of the most demanding machine vision systems needing the highest accuracy or in global security systems where sensitivity in low…
In the last decade or so, CMOS has been evolving much faster than CCD as a result of investments in the cell phone camera market/consumer market.
There are always small changes (at no additional product cost) that can be made to increase the performance of your machine vision camera and thus to your overall inspection or metrology system. Binning is one example. There has been a trend with latest generation image sensors to increase resolution while also reducing the pixel size…
The capability of a machine vision camera to capture the details of a scene is defined by several parameters with dynamic range at the top of the list. High contrast images require a high dynamic range. One problem is there can be different ways to calculate dynamic range, which makes it difficult to compare cameras…
In theory, bigger pixels on full-HD CCD image sensors are better for global security applications because they are more sensitive for improved low light performance. The drawback is that bigger optics are required so size, weight, power, and cost (SWaP-C) requirements are challenged. As many systems are upgrading from standard definition to full-HD cameras or…
Hyperspectral imaging involves dividing light into thousands of small bands to gain detailed information. This compares with multi-spectral, which deals with far fewer bands. Every pixel has a complete spectrum in it and this can be used for a variety of applications including mineralogy, agriculture, astronomy, and surveillance. With lightweight hyperspectral imaging systems mounted on…
There is a perception that color precision can only be achieved with 3-chip prism-based (3-CCD, multiple-chip prism, etc.) video cameras. Because of advances in sensor design, knowledgeable camera designers can now get excellent color images from Bayer patterned image sensors. These images are so good that all consumer digital SLR cameras use a single chip…
Hyperspectral imaging combines imaging and spectroscopy, which can increase measurement accuracy for a variety of applications (for more information on hyperspectral imaging, click here). At the 2013 Photonics West Exhibition, Imec demonstrated their approach. Here is a video of Andy Lambrechts of Imec explaining their solution: http://www.photonicsonline.com/doc.mvc/multispectral-imaging-for-subject-classification-0001 Imec approached Adimec to collaborate as the…
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