Automatic Bottle Orienter with Computer Vision

The blog post by Timothy M. provides a detailed guide on using keypoint detection in computer vision to determine the orientation of objects, specifically focusing on a water bottle. It explains the process of training a model to identify keypoints on a water bottle, such as the top and bottom, and using trigonometry to calculate the bottle's orientation angle. This information is crucial for applications in robotics and automation, where precise object manipulation is required, such as in manufacturing or warehouse settings. The post outlines the steps of collecting and labeling a dataset, training a keypoint detection model using Roboflow, and building an application to detect keypoints and estimate orientation in real-time using a webcam. The project emphasizes the importance of accurate orientation detection in tasks like grasping and sorting, highlighting its significance in enhancing the efficiency of automated systems. The dataset and code are available on Roboflow Universe for further exploration and application.