Team
Himanshusing Abeeluck, Dylan Lalande, Navdepp Singh Sembhi, Gurroop Singh
Categories
Artificial Intelligence, Data Analysis, HTML, IoT, Machine Learning, Python
Overview
AI Scanner is a state-of-the-art autonomous checkout system that makes use of machine learning, AI, and computer vision. Using weight sensors and visual detection, it quickly identifies items, speeding up the checkout process with contact-free transactions and instant billing.
It makes use of a wide-angle camera, LED strips, load cells, and Raspberry Pi to guarantee precise item identification and smooth integration. Operational efficiency is improved by the system's front-end interface and backend API. Digital receipts, transaction history, and multi-store analytics are among the upcoming improvements that promise a strong solution for contemporary retail environments.
AI Scanner
AI Scanner: Uses computer vision and deep learning for contact-free self-checkout in small stores. Detects items quickly with a load cell, Raspberry Pi, and camera module. Calibrate load cell, train AI for precise object detection.
