Developed and executed a comprehensive Monitoring System for Worker Falls, leveraging existing camera infrastructure and advanced artificial intelligence. As the sole contributor, responsibilities encompassed the entire project lifecycle, from conceptualization to implementation.

Key achievements include:

• Designing and configuring the system architecture to seamlessly integrate with pre-existing camera networks within the workplace.
• Crafting AI algorithms capable of accurately identifying and tracking instances of worker falls in real-time.
• Establishing robust alert mechanisms to promptly notify designated personnel in the event of a fall, ensuring swift response and assistance.
• Conducting extensive testing and refinement phases to optimize the system's accuracy, reliability, and performance under diverse working conditions.

This initiative demonstrated expertise in computer vision, AI, and project management, delivering a vital safety solution that enhances workplace security and employee well-being.