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Typical tasks of vision systems are included in Recognition area of work – object recognition, identification, detection, content-based image retrieval, pose estimation, optical character recognition (OCR), 2-D encoding and decoding, shape recognition technology, facial recognition and many more. The process followed in order to attain these tasks generally follows the same pattern. First step is image acquisition using various types of cameras according to the requirements (light-sensitive cameras, range sensors, ultrasonic cameras and many more) and acquiring pixel intensities corresponding to light intensity or other measures. Followed by preprocessing in order to reduce noise, increase contrast, resample or scaling using filters, histogram equalization, re-sampling algorithms.

Vision system check for authentication of quality of industry automation for detection of system parts using raspberry pi