Packaging plays a vital role in protection of materials, along with providing information about the product. But many a times it is difficult to identify the quality of product inside the packet. Proposed work discusses a technique to identify the quality of such packed products. Objectives of the proposed work are to count number of crayon in each packet and check if its' as per desired number using the techniques of image processing. A camera is used to capture images of crayon packets in the production line packaging section. On capturing the images it is processed online using LabVIEW platform. Image processing algorithms like pattern recognition, edge detection and center of mass to compute the quantified data of the image acquired. Neural network algorithm is employed to detect the faulty packages as also to display the position of missing crayon. The system once designed is subjected to test and the results obtained proved successful implementation of set objectives.
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