Smart Trolley System Using OpenCV

The shopping atmosphere of the malls and commercial places nowadays is confronted by problems such as long queues at checkout counters and inefficiencies in tracking purchased items. This paper introduces the “Smart Trolley System using OpenCV,” a frontier of computer vision and the IOT present in a retail. Through a unique configuration of the web cameras and IoT devices, it is now possible to track shoppers via colour bands, rejuvenating inventory management and curtailing checkout queues. This system revamps the shopping experience with a new approach of offering convenience and saving time in the crowded malls. It deals with the important issues of checkout queues, manual item tracking, limited automation, exit management, and real-time data integration. The study analyses various technologies such as pre-trained neural networks, Arduino, Xbee, and barcode scanners, and RFID technology to improve the shopping experience and customer satisfaction.