multi-cam-face-tracker

Real-time multi-camera face tracking system with PyQt5 interface and alert notifications (including Telegram notifications). Supports webcams, RTSP streams, and provides face recognition with InsightFace models.

24 articles 17 View on GitHub ↗
24 articles
How to Set Up InsightFace for Face Detection and Recognition in Multi-Cam Face Tracker

Learn how to set up InsightFace for accurate face detection and recognition in your projects. Install the package, configure settings, and initialize the FaceDetector class for seamless integration.

how-to-guide
Feb 23, 2026
Common Issues When Running the Multi-Camera Face Tracker

Learn to troubleshoot common multi-camera face tracker issues like missing YAML configs, missing InsightFace models, invalid camera indices, and permission errors to ensure smooth operation.

troubleshooting
Feb 23, 2026
How to Configure System Settings Using config.yaml in Multi-Cam Face Tracker

Easily configure system settings for the multi-cam-face-tracker by editing the config.yaml file. Learn how to load and initialize runtime parameters using Python.

how-to-guide
Feb 23, 2026
Performance Optimization Considerations for the Multi-Cam Face Tracker

Discover performance optimization for the multi-cam-face-tracker. Learn how parallel pipelines, GPU acceleration, and configurable settings achieve real-time results.

performance
Feb 23, 2026
How to Extend the Multi-Camera Face Tracker with New Features: A Developer's Guide

Extend the multi-camera face tracker by adding new classes for alert channels camera sources or UI tabs Learn how to integrate new features seamlessly using YAML configuration and dependency injection

how-to-guide
Feb 23, 2026
How to Use the PyQt5 User Interface for Face Management in Multi-Cam Face Tracker

Master PyQt5 face management in Multi-Cam Face Tracker. Add update delete and import faces easily through the intuitive FaceManagerDialog class.

how-to-guide
Feb 23, 2026
How to Access Historical Event Data from the Multi-Cam Face Tracker Database

Easily access historical face detection events from the Multi-Cam Face Tracker database. Use the get_face_logs method to query SQLite and retrieve filtered event data.

how-to-guide
Feb 23, 2026
Role of the SQLite Database in the Multi-Cam Face Tracker Project

Discover the role of SQLite database in the Multi-Cam Face Tracker. It manages event logging, stores face embeddings, and enables historical queries for your project.

internals
Feb 23, 2026
How to Configure Rate Limiting for Alerts in Multi-Cam Face Tracker

Learn to configure rate limiting for alerts in Multi-Cam Face Tracker. Set the rate_limit value in config.yaml to control alert frequency and avoid spam.

how-to-guide
Feb 23, 2026
How Visual and Audio Alerts Work in the Multi-Cam Face Tracker

Discover how the Multi-Cam Face Tracker handles visual and audio alerts using pygame-mixer, OpenCV, and optional Telegram integration. Learn about its centralized AlertSystem.

how-to-guide
Feb 23, 2026
How to Configure Telegram Notifications for Alerts in Multi-Cam Face Tracker

Configure Telegram notifications for multi-cam face tracker alerts. Enable real-time detection alerts with your bot token and chat ID in config yaml. Learn how now.

how-to-guide
Feb 23, 2026
Multi-Camera Face Tracker Alert System Capabilities: Audio, Screenshots, and Telegram Integration

Explore the multi-camera face tracker's alert system: audio alarms, screenshots, Telegram integration, and event logs. Configure runtime alerts easily.

deep-dive
Feb 23, 2026

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