RetailIQ Analytics

Gallery

About

Retail Analytics is a computer vision-powered platform designed to help retailers understand in-store activity through existing camera footage. By combining real-time object detection, multi-object tracking, and an interactive analytics dashboard, the platform aims to transform raw video streams into meaningful operational insights.Key FeaturesPeople Detection & Tracking: Detect and track people across video frames using YOLO and ByteTrack.Store Traffic Analytics: Monitor customer movement and analyze store entry and exit activity.Occupancy Monitoring: Estimate the number of people present in a store or designated area.Zone Analytics: Analyze activity within configurable store zones.Dwell-Time Analysis: Measure how long people remain in designated areas.Heatmaps: Visualize movement patterns and areas of interest.Queue Monitoring: Support queue-length analysis to help identify potential bottlenecks.Event & Alert Management: Provide a foundation for identifying noteworthy events and surfacing alerts.Analytics Dashboard: Present retail activity through a modern web interface.Technology StackFrontend: Next.js, React, TypeScript, Tailwind CSSBackend: FastAPI, PythonComputer Vision: YOLO / Ultralytics, ByteTrack, ONNXDatabase: PostgreSQLDeployment: Docker