Fault Detection is very important in mechanical industry to detect objects with manufacturing defects and to isolate them. At present, fault detection is done manually when the mechanical components are transported for assembly and packing in an assembly line. This inspection is done randomly and not all the components are tested. Hence, there is a chance of missing out defected components in the assembly line. Also, this process is time consuming and all the features of the components cannot be verified accurately. This signifies that there is a need for an image processing based system to detect the defects in the components. In our project, a camera is mounted above the assembly line. The camera captures the images of the mechanical components (nuts and bolts) moving on conveyor belt. The captured images are processed so as to remove the background noise. The image is then enhanced to get the Region of Interest. It is extracted to measure the dimensions of the components. If any defect is found in the attributes of the mechanical components, an electrical signal will be sent to the Solenoid valve and then it actuates deflector plate by the pneumatic cylinder. Defected component is then pushed out of the conveyor and the defect-less products are carried to the packaging. By this way, components with manufacturing defect are identified and isolated way more efficiently.
Image Processing, Camera, Raspberry pi, Computer Vision, Lab View
Aiswarya Kannan , S V Sathish Kumar "Fault Detection of Mechanical Components Using Image Processing" Iconic Research And Engineering Journals Volume 4 Issue 7 2021 Page 52-54
Aiswarya Kannan , S V Sathish Kumar "Fault Detection of Mechanical Components Using Image Processing" Iconic Research And Engineering Journals, 4(7)