How to Detect Falls with Computer Vision

Nathan Y.'s tutorial, published on May 21, 2024, outlines how to use Roboflow's computer vision tools to create a model that detects falls, which can be particularly useful in environments like manufacturing facilities where falls pose a significant risk. The tutorial guides users through several steps, including setting up a programming environment with a Built-in GPU, installing necessary libraries, downloading and processing video datasets, and using Roboflow's pre-built models to classify individuals as standing, falling, or fallen. The tutorial also introduces a timer class to assess the severity of a fall based on duration and provides a method to track the time someone has remained fallen to determine potential emergencies. Additionally, the guide describes how to annotate video frames with bounding boxes and labels, merge frames into an annotated video, and generate a heatmap to illustrate movement patterns. The tutorial is designed to help users create a fall detection system that could be integrated with alerting mechanisms to provide timely assistance to individuals who fall in monitored settings.