Research on Damage Defect Detection Based on Computer Vision

When an customer places an order online, they expect a fast and accurate delivery. Customer demand for a seamless experience from placing an order to receiving an undamaged order in the hands. To provide this seamless experience to our customers, large level of industrialization is happening on the backend from picking each product, scanning the barcode and putting the order on the conveyor belt after packaging and shipping the order at the right address. However, automation comes with certain risks of mis-sortation of packages, damage defects during packaging the product, barcode sticker alignment and the received product can be hampered due to liquid spillage, open damage box, uncovered tape and other factors. Therefore, this research is an effort to identify the damages and defective products before delivering the order. With the help of computer vision technology, cameras are placed on the top of each conveyor belt and camera will share the images at every 3-5 seconds and advance algorithm will be used to identify the defects or damage packages. This paper will cover the computer vision algorithm along with image processing normalization techniques to identifying the damages due to human interaction and leading late deliveries and poor customer experience.