Common resolutions of industrial cameras include 640x480 (310,000 pixels), 1280x1024 (1.31 million pixels), 2448x2048 (5.01 million pixels), 2464x2056 (5.07 million pixels), and 4096x4096 (16.73 million pixels), etc.

The resolution of industrial cameras is usually expressed in pixels. For example, a 300,000 pixels has a resolution of 640x480, and the total number of pixels is 307,200 pixels, that is, 307,200 pixels.Camera with different resolutions may vary in actual applications. For example, common resolutions include 300,000 pixels, 400,000 pixels, 1.3 million pixels, 5 million pixels, etc., and even cameras with up to more than 20 million pixels.

Selecting the appropriate industrial camera resolution requires specific application requirements.For example, for applications requiring high-precision detection, higher resolution may be required to ensure the accuracy of detection.Generally, high resolution cameras are expensive, so you need to weigh costs and demand when choosing.

1. Industrial camera pixel calculation method: based on the accuracy of the object to be measured and the field of view calculation selection. If you are doing dimensional measurement, the accuracy is the measurement accuracy.If it is for defect detection, this accuracy is the minimum defect size to be detected.If a pixel corresponds to a defect, then such a system will definitely be extremely unstable, because any interfering pixel point may be mistaken for a defect. Therefore, in order to improve the accuracy and stability of the system, it is best to take the area of ​​the defect to more than 3 to 4 pixels, so multiply this by 4 times when calculating.Resolution = (high/precision of field of view) * (width/precision of field of view) *4 If a single field of view is 5mm long and the theoretical accuracy is 0.02mm, then the single-direction resolution = 5/0.02=250.However, to increase system stability, it is not necessary to use only one pixel unit to correspond to a measurement/observation accuracy value, and a multiple of 4 or higher can generally be selected.In this way, the camera requires a one-way resolution of 1,000, and choosing 1.3 million pixels is enough.

2. Select the shutter method of the camera based on whether the object being tested is still or motion:

Rolling shutter (rolling shutter): Most CMOS sensors currently use this shutter.For any pixel, it is now cleared at the beginning of the exposure, and then wait for the exposure time to read out the signal value.Because the data readout is serial, clearing/exposure/reading can only be performed line by line, usually from top to bottom, which is very similar to the mechanical focal plane shutter, which will cause obvious deformation of objects moving at high speed.Moreover, because its scanning speed is slower than the mechanical focal plane shutter, the deformation will be more obvious.To make up for this defect, usually, digital cameras usually use mechanical shutters to clear the entire image sensor at the beginning of exposure (most current sensors have a quick clear function, which can complete the entire sensor within a few clock cycles), then the mechanical shutter is opened, and the mechanical shutter is closed after exposure is finished, and the data is read out in sequence.Suitable for shooting still objects.

Global shutter: The most important difference from scrolling is that a sampling and holding unit is added at each pixel. After the specified time is reached, the data is sampled and then read out sequentially. In this way, although the pixels read out are still being exposed, the data stored in the sampling and holding unit has not changed.The entire scene is exposed at the same time, which is suitable for taking pictures of moving objects.

3. Determine the frame rate of the camera based on the motion speed of the object to be photographed.Motion speed/field of view = minimum frame rate;

4. Select the image color of the camera based on the detection content. It is recommended to select a color camera when detecting items related to color, and the others use black and white cameras.For images with the same resolution, the black and white image detection accuracy is better than that of color cameras.The contrast and sharpness of black and white cameras are better than color cameras. Some black and white cameras can directly output grayscale images, which is convenient for direct computing and processing.

Yunkey Technology (www.cldkey.com) is an industrial camera manufacturer and vision application development service provider for more than ten years. Through continuous innovation in the technical field and in-depth exploration of camera applications, it has gradually formed a multi-series of products including gigabit network industrial cameras, USB2.0, USB3.0, and multi-eye cameras. It has extremely high cost-effectiveness and stability, serving nearly 10,000 industry customers, and has received widespread praise and support.