Machine Monitoring for Industry using Computer Vision

Abstract

There are numerous approaches from which computer vision has been investigated. It moves beyond simply recording raw data to incorporate methods and concepts for computer graphics, pattern detection, digital image processing, and machine learning. This paper gives an outline of current technological advancements and theoretical ideas that describe how computer vision, mainly relates to image processing, and how it has evolved through time. It uses a technique for large-scale data analysis and a variety of application domains. The various research papers on computer vision and different techniques on object detection are reviewed in this paper. This paper gives the application of computer vision for factory and machine monitoring which will help to detect the object is moving or stable using YOLO algorithm. We also give a succinct summary of the most recent data regarding the effectiveness of the strategies.