Theory
6. Human Body Detection
AI that identifies human pose and human hand landmark points from camera and stage.
Human body detection encompasses a range of technologies for detecting the presence of a human body in an area or space. Air conditioners that come with human detecting sensors 🌡 and can detect people’s location 📍 to optimize comfort and energy-saving 💡 are one of the most common examples of this technology.
What this extension focuses on is Pose and Hand Pose detection 🕺🤲. These algorithms help identify where the body joints are positioned.
Pose Detection is a real-time pose detection technique with which you can detect human beings’ poses in Images 📸. It allows you to estimate human pose by detecting body parts such as elbows, hips, wrists, knees, and ankles, and form a skeleton structure of your pose by joining these points.
Pictoblox makes use of the Pose Net model for Pose Detection.
Pose Net gives us a total of 17 key points that we can use, right from our eyes 👀 to ears 👂 to knees and ankles. If the Image we give to Pose Net is not clear the Pose Net displays a confidence score of how much it is confident in detecting a particular pose as well.
Applications of Pose Detection
🤳 Used in Snapchat filters, that can see the tongue, aspects, glimpse, dummy faces.
🏋️♂️Fitness apps like a cult which uses to detect your exercise poses.
📸 Instagram Reels uses posture detection to provide you with different features to apply to your face and surrounding.
🎮Virtual Games to analyze shots of players.