Creating a Cutting Safety Tool with Keypoint Detection
Blog post from Roboflow
In this comprehensive guide, Aryan Vasudevan outlines the creation of a cutting safety tool using Roboflow's keypoint detection capabilities to enhance kitchen safety and efficiency by monitoring cutting posture. The process involves setting up a personal workspace on Roboflow, creating a keypoint detection project, and uploading customized data to train a model that distinguishes between good and bad cutting postures. By annotating video frames and utilizing Roboflow's Workflow features, users can create a visualization tool to display keypoints on hands. This tool aims to aid various applications, from home kitchens to culinary schools, by providing real-time feedback on cutting posture through an inference pipeline that processes live video feeds. The guide further details the development of a posture classification function to evaluate and display corrective feedback on posture, emphasizing the tool's potential to improve safety and skill in culinary practices.