Traditional supermarkets face several challenges, such as restricted shopping hours and long checkout queues, which negatively impact the consumer experience. To address these issues, this paper proposes an intelligent unmanned supermarket system based on the Internet of Things (IoT) and human hand bionics. The system consists of merchandise shelves, handling trolleys, storage cabinets, and servers, interconnected via a local area network (LAN). Each product is tagged with a barcode, stored in a database, and serves as the smallest IoT node, enabling seamless product identification and tracking.The system integrates multiple technologies, including image recognition, location navigation, Wi-Fi communication, and barcode scanning, with a Raspberry PI 3B and a 32-bit microcontroller serving as the core control units. This architecture resolves key challenges in automation, communication, and inventory management, ultimately enabling autonomous product retrieval, transportation, and real-time stock monitoring.