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Objectives: This paper presents a review on the applications of machine vision technology in various industries such as food industry, textile industry, PCB industry and tile industry, thereby enhancing the conventional system. Methods: This technique used for inspection, sorting, handling and testing various components by machine vision is given with ample illustrations. Using this as a guide, generic machine vision approaches can be derived and applied to solve many problems. Findings: The machine vision techniques applied in the above mentioned fields are studied. It has been proven from research that automating processes in several industries has led to better results than manual processing. As a scientific discipline, machine vision is concerned with the concept behind artificial systems that incorporates image processing. Machine vision systems are based on extracting the images of the objects which are to be inspected/tested and processing them to retrieve the required data. This review paper provides an insight on how to combine two or more machine vision techniques to successfully incorporate them in more generic applications that may have the potential to perform with greater agility and accuracy.Keywords: Image Processing, Inspection, Machine Vision
Nandini et al. (Thu,) studied this question.