Project progress using camera based detection
In the world of construction, resource management and operational efficiency are paramount. With construction sites bustling with activities and materials moving constantly, keeping track of these resources manually can be a daunting task. To address this challenge, advanced AI-powered solutions are revolutionizing construction operations, offering unparalleled accuracy and efficiency. This blog dives deep into a […]
PoseNet Pose Estimation model on Flo Edge One
Pose estimation is a computer vision and deep learning method where the goal is to detect a person and their pose in a given image. This is done by locating specific landmarks like the head, shoulders, elbows, hands, hip, knees, feet, etc. By tracking the position and orientation of human body parts, a rough estimate […]
Mediapipe Hand Pose detection on Flo Edge One
Like Tensorflow, Mediapipe is a framework used to build machine learning models and deploy them. The model we will be talking about in this blog is Mediapipe’s Hand landmark model that is trained on over 30K real life images. Mediapipe is the perfect API because it is light weight and it contains everything you need […]