![]() ![]() ![]() The rest of the article takes on this definition. This gives the number of pixels per foot that can be correlated to image quality. It is basically the horizontal field of view (HFOV) of the camera divided by the horizontal number of pixels. Last, resolution can be specified in pixels per foot or meter at an object. As the total number of pixels on an image sensor increases, the pixel size gets smaller and requires a lens of higher quality to achieve focus. Commonly used by lens designers and optical engineers, image sensor resolution is expressed as line pairs per millimeter (lpm). Resolution can also be the level of detail with which an image can be reproduced or recorded. With megapixel cameras, resolution is generally expressed with the total number of pixels, divided by one million and rounded off. Resolution can be expressed with the number of pixels of the image sensor. Read More: The tradeoff between field of view and resolution Read More: How to differentiate between quality megapixel lenses There is a balance that must be made between level of detail and project budget. It must be said, however, that higher detail requires higher resolution cameras or more cameras and thus more bandwidth and storage. For security applications, the more pixels on a target, the higher the resolution will be, and the more likely recognition and positive identification will be made. There is not yet an industry standard for the level of sharpness required in every video surveillance application (detection or identification) or machine vision application (barcode or license plate reading). This note looks into how image resolution can be calculated. That’s why calculating image resolution is a good knowledge to have. The detail in an image is determined by resolution.
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