MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068410 A) filed by Jss Science And Technology University on June 01, 2026, for Iot-Based Autonomous Smart Shopping Trolley Integrating Autonomous Navigation, Robotic Product Retrieval, Weight-Based Anti-Theft Validation, And Real-Time Cloud Based Automated Billing.
Inventors include Supreetha M; Sahana Krishna G; Rakshitha B M; Savitri; and Yuktha R.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT IoT-Based Autonomous Smart Shopping Trolley Integrating Autonomous Navigation, Robotic Product Retrieval, Weight-Based Anti-Theft Validation, and Real-time cloud based automated billing The present invention discloses an IoT-based Autonomous Smart Shopping Trolley, designated the Scan-Go Trolley, that integrates autonomous in-store navigation, robotic product retrieval, weight-based anti-theft validation, and real-time cloud-synchronised automated billing within a single portable trolley-borne platform. The system comprises an ESP32 microcontroller as the central processing unit, a three-sensor infrared line-tracking navigation subsystem with ultrasonic obstacle detection, a multi-axis servo-actuated robotic arm for automated product pick-and-place operations, a load-cell weight sensor for basket-content validation, a Wi-Fi communication module for cloud connectivity via HTTP or MQTT protocol, a cloud-hosted database storing product data, shelf coordinates, arm-pose maps, cart sessions, and inventory records, and a companion mobile application for product selection, real-time billing display, and digital payment. Upon customer product selection via the mobile application, the trolley autonomously navigates to designated shelf locations following pre-laid floor tracks, retrieves selected products using the robotic arm, validates aggregate basket weight against expected cloud-database weight, updates billing records in real time, and enables queue-free checkout through digital payment — thereby eliminating conventional billing queues, reducing manual product handling, preventing unauthorised item additions, and enabling real-time inventory management. Experimental results from a working prototype demonstrate approximately 40–60% reduction in checkout time, 80–90% reduction in billing errors, and 20–35% operational cost savings. The modular IoT architecture supports multi-trolley scalability across retail establishments without requiring structural store modifications. Fig. 1
Disclaimer: Curated by HT Syndication.
