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Smart Street Surveillance: Real-Time People Flow Counter

This AI-powered surveillance system detects, tracks, and counts people in real time using deep learning. It monitors entry and exit events across a virtual boundary, overlays live visual indicators, and automatically logs activity for smart city and public safety applications.

Project Overview

Smart Street Surveillance is a real-time people monitoring system built with computer vision and deep learning. Using YOLO-based human detection and persistent tracking, the system analyzes pedestrian movement across a defined virtual line to determine entry and exit events with high accuracy.

Key Features

YOLO-Based Human Detection

• 🧍 Detects people accurately in real-time video streams.
• 🌙 Performs well in crowded and low-light environments.

Real-Time Object Tracking

• 🆔 Assigns unique IDs to each detected person.
• 🔁 Maintains identity across multiple frames.

Entry & Exit Line Crossing Logic

• 📏 Uses a virtual boundary line to detect movement direction.
• ➡️ Distinguishes between entering and exiting individuals.

Live Counters & Visual Annotations

• 📊 Displays real-time entry and exit counters.
• 🟦 Draws bounding boxes, IDs, and tracking paths.

Event Logging & Audit Trail

• 📝 Logs every entry and exit event with timestamp.
• 📂 Exports structured logs for analytics and reporting.

Technology Stack

• 🐍 Programming Language: Python
• 🎥 Computer Vision: OpenCV
• 🧠 Object Detection & Tracking: Ultralytics YOLO
• 📊 Data Handling: Pandas & NumPy

Use Cases

• 🏙️ Smart Cities – Monitor pedestrian traffic in streets and sidewalks.
• 🏢 Corporate Buildings – Count people entering and exiting facilities.
• 🏫 Schools & Universities – Track student flow through gates.
• 🏥 Hospitals – Monitor visitor movement in sensitive areas.
• 🏘️ Gated Communities – Replace manual entry logs with AI automation.

Conclusion

Smart Street Surveillance provides a powerful, scalable, and cost-effective solution for real-time people flow monitoring. By combining YOLO’s speed with intelligent tracking and logging, it enables smarter decision-making for urban planning, security management, and public safety systems.