플러스프로젝트 배경
▶ Project Background [1) Problems] • Traditional CCTV requires constant human monitoring • No real-time alerts for unauthorized access or suspicious activity • Expensive commercial surveillance systems • Limited remote acce
프로젝트 성과
AI Integration
Description: Successfully integrated YOLOv11 model with ESP32-CAM for
edge-based object detection
Real-time Streaming
Description: Achieved sub-second latency for live video feed in Flutter app
Remote Control
Description: Implemented relay control system for alarm/light activation
from mobile app
Cost Efficiency
Description: Built complete system under $20 hardware cost vs $200+
commercial alternatives
commercial alternatives
핵심 기능
YOLOv11 Object Detection
Real-time person, vehicle, animal detection with 85%+ accuracy on
ESP32-CAM hardware
ESP32-CAM hardware
진행 단계
Researched YOLO models
2025.01.
Researched YOLO models, selected YOLOv11 for balance of speed and accuracy
프로젝트 상세
▶ Project Overview Real-time surveillance system combining YOLO AI object detection, ESP32-CAM hardware, and Flutter mobile app for live monitoring and remote relay control. Client-server architecture with Python backend
