Description

human fall detection and alert system using opencv

Fall has become a major cause of injury for senior citizens, it has become the most frequent cause of death for those who are age 65 and above.With help of advancement of AI and image classification, object detection, we can build AI within existing cameras to help detecting falls for humans.We are planning to use normal camera combined with Nvidia Jetson Nano, this is enough to run near real time AI which includes object detection which can calculate the falling of the person. The camera can be streamed through anywhere, the caretaker will receive a text message whenever a fall is detected and the human can not get up at that time. Appropriate help will be called upon before major incident happens.

In this project we decide to darknet which uses yolo V3. YOLOv3 is extremely fast and very accurate.This article will guide you through a pre-trained model from yolo which makes the project much more simpler and no training is required.We proposed a method for fall detection algorithm with tensorflow is used.Now that we can detect falling, we can easily send a SMS to user’s phone.