首页 /研究 /Hy-Tech Shopping Cart Using Object Detection and Human Following Technology
PERCEPTION

Hy-Tech Shopping Cart Using Object Detection and Human Following Technology

Anita Joshi, Tanishq Thuse, Prashant Thorve, Raj Thakur, Anshul Thote, Isha Thakur

发表年份
2024
引用次数
1

摘要

Recent advancements in artificial intelligence and robotics have transformed the retail industry, leading to innovative solutions that enhance the shopping experience. Our paper presents the High-Tech Shopping Cart, an intelligent system that leverages object detection and human-following technology to provide a seamless, hands-free shopping experience. The cart utilizes state-of-the-art object detection algorithms to identify and track items selected by shoppers while employing a robust human-following mechanism to navigate autonomously through stores. Our system integrates computer vision techniques, sensor fusion, and advanced path-planning algorithms within a modular framework, featuring cameras and depth sensors for real-time processing. Extensive experiments demonstrate high accuracy in object detection and reliable navigation in complex environments. User satisfaction surveys indicate a positive reception, highlighting the cart's potential to significantly enhance the shopping experience.

关键词

CartComputer scienceObject (grammar)Object detectionArtificial intelligenceComputer visionPattern recognition (psychology)GeographyArchaeology

相关论文

查看 PERCEPTION 分类全部论文