{"id":18148342,"url":"https://github.com/lehuuan1006/security-system","last_synced_at":"2026-05-09T16:03:04.199Z","repository":{"id":260393889,"uuid":"881168562","full_name":"Lehuuan1006/Security-system","owner":"Lehuuan1006","description":"A face recognition-based security camera system for secure access, area monitoring, and camera control using ESP32-CAM","archived":false,"fork":false,"pushed_at":"2024-10-31T04:41:24.000Z","size":85782,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T21:47:40.844Z","etag":null,"topics":["arduino-nano","esp32","esp32-cam","face-recognition","pyqt5","python","security-cam-esp32","security-camera-app","yolo","yolov5"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Lehuuan1006.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-31T02:53:44.000Z","updated_at":"2024-10-31T04:41:27.000Z","dependencies_parsed_at":"2024-10-31T04:28:55.627Z","dependency_job_id":null,"html_url":"https://github.com/Lehuuan1006/Security-system","commit_stats":null,"previous_names":["lehuuan1006/security-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Lehuuan1006/Security-system","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lehuuan1006%2FSecurity-system","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lehuuan1006%2FSecurity-system/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lehuuan1006%2FSecurity-system/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lehuuan1006%2FSecurity-system/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Lehuuan1006","download_url":"https://codeload.github.com/Lehuuan1006/Security-system/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Lehuuan1006%2FSecurity-system/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261821235,"owners_count":23214856,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arduino-nano","esp32","esp32-cam","face-recognition","pyqt5","python","security-cam-esp32","security-camera-app","yolo","yolov5"],"created_at":"2024-11-01T23:08:16.496Z","updated_at":"2026-05-09T16:02:59.133Z","avatar_url":"https://github.com/Lehuuan1006.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Human Motion Detection and Security Alert System**\nThis project implements a human motion detection, face data verification, and security alert system using machine vision and IoT technologies. It leverages the ESP32-CAM for real-time monitoring and integrates YOLOv5 for object detection and OpenCV for face recognition, creating a secure and efficient surveillance solution.\n\n## **Project Overview**\nWith the rise in security concerns, the need for smart surveillance solutions has grown. This system was designed to detect human motion, identify faces from a pre-registered database, and issue alerts to designated users. Key features include real-time streaming, face authentication, motion tracking, and a user-friendly interface for system control. Link [System demo](https://drive.google.com/drive/folders/1Xu5WDIanh8UqaNph10PIVM5tNPEqGjRM?usp=sharing)\n\n## **Features**\n- Real-time Human Motion Detection: Utilizes YOLOv5 to detect human presence and capture motion in various environments.\n- Face Recognition: OpenCV and face_recognition libraries are used to verify registered faces during system access.\n- Remote Camera Control: ESP32-CAM is mounted with a servo system to adjust the viewing angle, enabling flexible monitoring.\n- User Management: Allows administrators to add, update, or delete users, ensuring the system remains secure and up-to-date.\n## **Technologies**\n- Hardware: ESP32-CAM, Arduino Nano, Servo SG90\n- Software: PyQt5 for interface, OpenCV, face_recognition, and YOLOv5 for object detection\n- Programming Languages: Python (mainly), Arduino IDE for microcontroller programming\n## **Usage**\n1. Setup: Connect ESP32-CAM to the network and launch the Python application.\n2. User Registration: Register users by capturing and encoding their facial data for future authentication.\n3. Monitoring: Start live streaming for motion detection; the system triggers alerts and records images upon detecting human presence.\n4. Manage Users: Access the control panel to view, update, or remove registered users.\n## **Future Development**\nPlanned improvements include:\n- Mobile app integration for remote monitoring\n- Enhanced real-time notifications through email or app alerts\n- Additional camera support for larger coverage areas\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flehuuan1006%2Fsecurity-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flehuuan1006%2Fsecurity-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flehuuan1006%2Fsecurity-system/lists"}