Design and Implementation of Retail Store Object Detection Using YOLO
Abstract
Object Detection is a core computer-vision technique that detects the presence and location of an object in an image or in a sequence of images (video). Once an instance has been detected, it assigns a unique identification to it. It also has the ability to derive further information complimenting the object. Object Tracking is a machine learning technique that is highly sought after in the industrial sector to automate most of their processes and thus reduce labor. Object detection techniques have been developed rapidly for many different applications and these detection techniques can be implemented in a super-market environment to avoid the negatives of a traditional shopping experience. Our proposed system is an advanced modular shopping infrastructure that provides Stores with a frictionless shopping experience.
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