Project Overview

Detectorcam: Real-Time Object Detection & Tracking System

Detectorcam is a web-based system for real-time object detection and tracking from RTSP and HTTP video streams. The system integrates the YOLO detection model, BoT-SORT/ByteTrack tracking algorithm, and stream health monitoring mechanisms to ensure smooth video processing in environments with unstable connections.

Core Features

Object Detection & Tracking

• Utilizes YOLO model (.pt format) for object detection.
• Supports switching models for flexibility in change other model, accuracy, and performance.
• Implements BoT-SORT/ByteTrack from Ultralytics to assign unique IDs to detected objects across frames.

Video Streaming & Stability Handling

• Monitoring RTSP connection and automatically reconnecting or restarting if disconnect, lag, buffering, or stream freeze is detected.
• Implementing frame skipping to maintain target FPS and responsiveness by skipping frames when inference time exceeds the limit.

Web Interface

• CCTV Management: Add, remove, and configure CCTV streams.
• Detector & Model Management: Manage detection models and assign them to streams.
• Live Streaming:
  • Camera Stream: Displays the original video.
  • Detector Stream: Displays annotated video with detection and tracking results.
• Mode Control: Enable or disable object detection/tracking for each stream directly from the interface.

Key Achievements

• Integrated BoT-SORT/ByteTrack for robust object ID tracking across frames.
• Implemented auto-reconnect and lag detection for unstable RTSP connections.
• Developed frame skipping mechanism to maintain target FPS under heavy load.
• Delivered a web-based interface with real-time detection, tracking, and stream health monitoring controls.

Features

Tech Stack

Access Links