Led the development and execution of a comprehensive Monitoring System for Bus Maintenance Workers, leveraging existing camera infrastructure and advanced artificial intelligence. As the sole contributor, I oversaw all aspects of the project from inception to completion.

Key contributions include:

• Designing and configuring the system architecture to seamlessly integrate with pre-existing camera networks within the maintenance facility.
• Developing AI algorithms capable of accurately identifying and tracking maintenance workers in real-time, ensuring their safety and productivity.
• Implementing robust alert mechanisms to promptly notify relevant personnel of any anomalies or incidents, facilitating swift response and resolution.
• Conducting thorough testing and optimization phases to enhance the system's accuracy, reliability, and efficiency in diverse operational scenarios.

This initiative showcased proficiency in computer vision, AI, and project management, delivering a vital safety solution that enhances workplace security and operational efficiency within the bus maintenance facility.