@Greg_ios

Design a new PCB

LG TVs in Edge AI Home Monitoring System from now!!!!!!

Working on LG TV suppourt

From now Edge-AI Home Monitoring System suppourt tapo smart bulbs!!!!

I have complete the PCB of MacroByte

Make a telegram bot for easily security and device control

Making a sequrity system using YOLO and Telegram

Make a better README.md file and finalize the setup proccess

Make better readme

Make a setup script

Make an app for easy use of AI and also ad functional control for the L900 tapo ledstrip

Make a better README.md file and finalize the setup proccess

Make better readme

Make a setup script

Make an app for easy use of AI and also ad functional control for the L900 tapo ledstrip

A new modern dashboard and more devices

A new modern dashboard and more devices

Performance Optimization & Frontend Integration

After intensive testing, the communication system with Android TV devices has been fully upgraded. The latency observed in command execution has been eliminated, and the project now features its own Web Dashboard.

Key Achievements:

ADB Server Persistence: Resolved the critical issue regarding the continuous restart of the ADB server. By adopting the Registry Pattern, connections are now maintained (persistent), drastically reducing response time from 5+ seconds to near-zero (real-time).

Scalability: The backend has been developed to support the simultaneous control of multiple Android TVs. The system now dynamically manages connections via a central dictionary, allowing for the addition of unlimited devices through devices.json.

Frontend Dashboard: Developed a minimal and responsive interface (HTML/JS) that provides full device control. Communication with the server is now handled via the Fetch API with proper CORS and JSON payload handling.

Robust Error Handling: Upgraded the error reporting mechanism. The server now actively monitors module status and allows for automatic reset in case of connection restoration.

Next Steps:

Integration of real-time status feedback to monitor whether a TV is ON/OFF directly on the dashboard.

Further optimization of utils.py for more secure inter-module communication.

Performance Optimization & Frontend Integration

After intensive testing, the communication system with Android TV devices has been fully upgraded. The latency observed in command execution has been eliminated, and the project now features its own Web Dashboard.

Key Achievements:

ADB Server Persistence: Resolved the critical issue regarding the continuous restart of the ADB server. By adopting the Registry Pattern, connections are now maintained (persistent), drastically reducing response time from 5+ seconds to near-zero (real-time).

Scalability: The backend has been developed to support the simultaneous control of multiple Android TVs. The system now dynamically manages connections via a central dictionary, allowing for the addition of unlimited devices through devices.json.

Frontend Dashboard: Developed a minimal and responsive interface (HTML/JS) that provides full device control. Communication with the server is now handled via the Fetch API with proper CORS and JSON payload handling.

Robust Error Handling: Upgraded the error reporting mechanism. The server now actively monitors module status and allows for automatic reset in case of connection restoration.

Next Steps:

Integration of real-time status feedback to monitor whether a TV is ON/OFF directly on the dashboard.

Further optimization of utils.py for more secure inter-module communication.