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@article{156025,
        author = {Punitha S N and Rajath R Navalgi and Raksha A and Vijay Kumar N and Mala Sinnoor},
        title = {MACHINE VISION FOR BEARING ORIENTATION DETECTION},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {2},
        pages = {609-613},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156025},
        abstract = {Software for object detection is a low-cost, highly accurate measurement method that is frequently used in assembly lines. Production facilities are prepared to access big production numbers without faults thanks to these systems' provision of control and balance without touch. The camera may be used to do computer vision tasks like size measuring, error control, and product computation. This paper suggests a computer vision application that could find a distinct object. The suggested approach allows for automatic calculation regardless of product type or color and is based on Binary thresholding and Hough transformation. In essence, the system uses a single camera to capture photos of the objects moving through the conveyor. These images are then processed using a variety of image processing methods, such as image thresholding to apply filters and Hough circle transform to identify circles. In this manner, a real-time computer vision program was developed to determine the shape and orientation of the Industrial Bearing. The main aim of this proposed system is to minimize the use of sensors in the CNC manufacturing industry.},
        keywords = {Computer Vision, Industrial Automation, YOLO, Image Processing, Bearing.},
        month = {},
        }