Artifical Inteligence brings you security
PoseNet is a machine learning model that allows for Real-time Human Pose Estimation.
PoseNet can be used to estimate either a single pose or multiple poses, meaning there is a version of the algorithm that can detect only one person in an image/video and one version that can detect multiple persons in an image/video.
The original PoseNet model was ported to TensorFlow.js by Dan Oved. For background, read Real-time Human Pose Estimation in the Browser with TensorFlow.js.
This application "Attack Terminator" is based on PoseNet model to conduct instant detection of attack motion. In a city that local government using our service, as long as you download this service on the smart phone and turn it on, the attack alarm will be triggered once it detects someone is approaching you from the back with a weapon and posing a threat to your personal security. In the future, we will also provide more functions to identy different types of terrorist attack, for example, setting a bomb and car-driving attack.
