MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631020367 A) filed by Jis College Of Engineering, Kalyani, West Bengal, on Feb. 21, for 'autobill: ai-powered autonomous checkout system.'
Inventor(s) include Dr. Sumit Das; Rupashri Barik; Dr. Soumyabrata Saha; Pronay Pal; Nabamit Dutta; Kanak Karjee; Kamalesh Biswas; Ishani Das; and Sumit Debnath.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "AutoBill is an artificial intelligence-powered autonomous checkout system designed to eliminate manual barcode scanning and cashier dependency in retail environments. The system employs a wide-angle camera and deep learning-based computer vision models to detect and identify retail items placed within a designated checkout capture zone. A load cell-based weight sensing subsystem measures item weight and cooperates with the vision module through sensor fusion to validate or refine recognition results, thereby improving accuracy and reducing fraud or misclassification. An embedded edge computing unit processes visual and weight data locally to construct a virtual shopping cart, calculate an invoice, and generate a dynamic QR code for instant, contactless digital payment. Upon payment confirmation, the system issues a digital receipt and updates inventory and transaction records. The invention features a compact, modular, and edge-centric architecture that minimizes latency, enhances privacy by limiting transmission of raw image data, reduces infrastructure costs, and supports scalability across diverse retail formats including stores, kiosks, and micro-markets."
Disclaimer: Curated by HT Syndication.
