Litcius/Paper detail

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

Swati Sorte, Wani Patil, Sonali Joshi, Payal Ghutke

2021Journal of Physics Conference Series23 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Artificial intelligenceComputer visionComputer sciencePreprocessorPixelHistogramOptical character recognitionAdaptive histogram equalizationHistogram equalizationNoise (video)AutomationProcess (computing)Authentication (law)Cognitive neuroscience of visual object recognitionPattern recognition (psychology)Feature extractionEngineeringImage (mathematics)Computer securityMechanical engineeringOperating systemIndustrial Vision Systems and Defect DetectionCurrency Recognition and DetectionInfrared Target Detection Methodologies