Posture Correction using Computer Vision

I developed a cutting-edge real-time posture correction system that harnesses the power of advanced computer vision and deep learning techniques to analyze and improve user movements. This innovative system utilizes sophisticated algorithms to monitor and evaluate posture in real-time, providing instant feedback to users. In testing phases, it has demonstrated a remarkable 20% improvement in posture accuracy among test groups. This improvement highlights the significant impact that machine learning can have on health and ergonomics, offering a tangible solution to the pervasive issue of poor posture in modern lifestyles. The system's design reflects a deep integration of artificial intelligence with healthcare, emphasizing its potential to enhance everyday well-being and productivity through technology.

Additionally, I have successfully patented this posture correction system, emphasizing its originality and potential market impact. The system employs mathematical modeling and is built on robust IoT platforms such as the Jetson Nano and Raspberry Pi 4. These platforms, known for their computational capabilities and versatility, are coupled with MediaPipe and other AI techniques to ensure accurate posture detection and correction. By leveraging these technologies, the system is capable of delivering high-performance posture analysis in a compact and cost-effective manner. This patent not only validates the uniqueness of the solution but also positions it as a valuable tool in the realm of smart health and ergonomic applications