Smart Queue Monitoring | AI-Powered System to Reduce Wait Times and Food Waste

Smart Queue Monitoring is an AI-powered system designed to help food vendors better understand customer queues, reduce waiting times, and minimize food wastage.

Using computer vision and a custom-trained YOLOv26 model, the system detects customers in a defined queue zone and measures dwell time to accurately count real customers instead of passersby.

The system provides vendors with real-time analytics and insights on customer flow, queue length, and peak hours. This enables food vendors to better plan food preparation, reduce overproduction, and improve service efficiency.

Key Features

• AI-powered customer detection using YOLOv26
• Zone-based queue monitoring
• Dwell-time filtering to avoid false positives
• Real-time queue analytics dashboard
• Automated daily operation scheduling

This project demonstrates how artificial intelligence can be used to support small food vendors by improving operational efficiency and promoting sustainability through reduced food waste.

This video was created as part of the AI Innovator Challenge submission.

Technology Used

• YOLOv26 Object Detection
• Roboflow for dataset annotation and training
• Computer Vision Queue Analytics
• AI-assisted demand insights

Видео Smart Queue Monitoring | AI-Powered System to Reduce Wait Times and Food Waste канала Prakash Divakaran