self checkout app
Modern Point of Sale for ERPNext
Automated AI self checkout system using CNN and Yolo.
A computer vision–powered smart self-checkout system that combines YOLOv11 for real-time product detection and Flask for a seamless, interactive billing interface — designed to revolutionize the retail experience.
A self-checkout system based on image detection and recognition. Btw it also connects to google sheet for further data mining.
Android Application to shop by Scanning the QR Code of the Product and self-checkout in shopping centers also able to locate the product using IPS. Checkout the app link.
A full-stack Spring Boot Self-Checkout System featuring offline camera barcode scanning, shopping cart management, payment processing, and printable receipts.
Android prototype for Mobile Self Checkout(MSCO) that can be used at the Retail stores. It interacts with Rails POS application in the back end via API
A system for retail stores that will be able to provide their customers the option to self checkout without waiting in slow or long queues for checkout in the retail stores that will save customer’s precious time and will reduce stores labor costs.
IoT platform for anomaly detection and fraud prevention in self-checkout systems
Spare time project done by GEROME BRADDOCK and LEWIS ALLEN for the company Lanzarote Retreats. A simple stock control system and self checkout.
Self-checkout system + Easily trainable model from the brower
Top Self Checkout Management (Opensource) 🌟 Star if you like it! 🌟
Self-checkout system with QR code scanning. Built with Laravel 12 & Tailwind CSS. Shop faster, skip the queue! 🛒
Smart self-checkout Flutter app: scan barcodes, manage your cart, pay via UPI/cards/wallets and get digital receipts
Smart self-checkout prototype using C# WinForms, Raspberry Pi, HX711 load cell, barcode scanning, TCP communication, and PDF receipts.
Simple POS application and back end for Mobile Self Checkout Android application
A supermarket self checkout system created in Python facilitating both an administrator module and a customer module to undertake various actions.
Instance segmentation for grocery self-checkout: Mask R-CNN on the MVTec D2S supermarket dataset, reaching 84% mAP at IoU 50:95 with ~75ms inference. Replaces plastic barcode tags with pixel-level product recognition. Stanford CS 230.
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