ROADMAP.md

---

Phase 1: Core Functionality (Basic Security Camera)

Focus on building the fundamental features required for a security camera application.

• Implement real-time video feed using OpenCV
• Add motion detection with OpenCV
• Implement snapshot capture on motion detection
• Enable video recording with playback support
• Display timestamps on recorded videos
• Provide a basic GUI using Tkinter

---

Phase 2: User Customization & Enhancements

Improve user experience with customization options and settings.

• Create a settings panel for adjustable sensitivity (motion detection)
• Implement adjustable resolution & frame rate settings
• Add toggle options for enabling/disabling recording
• Implement multi-camera support for multiple webcam feeds

---

Phase 3: AI-Powered Features

Enhance security capabilities with AI-powered detection.

• Integrate face/person detection using OpenCV or TensorFlow
• Implement object classification (detect specific items, pets, etc.)
• Enable AI-powered anomaly detection for unusual activity

---

Phase 4: Alerts & Notifications

Ensure real-time alerts and accessibility for users.

• Implement sound alerts when motion is detected
• Add email or push notifications for detected motion
• Provide cloud storage integration (Google Drive, AWS, etc.)

---

Phase 5: Performance & Optimization

Optimize for better performance, stability, and lower resource usage.

• Optimize CPU/GPU usage for smooth video processing
• Implement background running mode with minimal resource consumption
• Improve storage management (automatic deletion of old recordings)

---

Phase 6: Deployment & Community Contributions

Prepare for public release and encourage collaboration.

• Write proper documentation for setup and usage
• Publish the first stable version on GitHub
• Gather user feedback and iterate based on improvements
• Enable plugin/extension support for future features

---