Augmented Reality and Machine Learning based Product Identification in Retail using Vuforia and MobileNets
Gagan Kishor Upadhyay, Divij Aggarwal, Amogh Bansal, Geetanjali Bhola
Abstract
Interactive retail is one of the biggest technology trends in recent years. Machine Learning based object detection and Aug mented Reality have proven as major technological advancements in the retail industry. This proposed research work aims at overcoming several setbacks in the present scenario such as high labor costs, time consuming process of purchasing the products, helping the customers to maintain their specified budgets and language barriers while selling products to groups with different linguistic backgrounds and by combining the real-world interaction of Augmented Reality and Machine Learning-based product identification. The proposed work provides customers with a futuristic shopping experience while maintaining their allowed budgets. The Machine Learning-based product identification approach detected objects with around 96% accuracy and Vuforia-based Augmented Reality approach detected objects with maximum accuracy.