Internet of Things and OpenCV-Based Smart Posture Recognition Chair

The Internet of Things (IoT) technology is expanding quickly and makes it possible to connect actual devices to the Internet. In our daily lives, we spend a lot of time sitting in incorrect postures, which over time leads to a host of health issues such back discomfort, stiffness, cervical pain, etc. Here's a creative way to use IoT and OpenCV to create a smart posture detection chair that will solve the posture problem. In order to address these health concerns and aid us with our posture, this approach seeks to design a smart chair. We used various sensor interfaces to gather and process real-time data in order to identify posture. We were able to get a satisfactory result that indicates if the position is good or terrible in the Boolean value. Here, 86% accuracy was achieved in classifying the good and bad posture using the machine learning model YOLOV5.