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 Gender detection model on Flo Edge One
In this blog, we are going to discuss yet another mini-project for novice AI explorers. A gender detection model, as basic as it might appear, might just be exactly what we need in the 21st century where everybody seems confu- nope. Not getting cancelled already. Anyway. A gender detection model is a simple classifier model […]
Age Detection using Haar Cascades on Flo Edge One
In this blog, we are going to discuss a fun project that’s built on a face detection model. Age detection can be used in the industry to customize ads in stores to see what groups of people are most likely to buy the product. It can also be used in forensic sciences, where often only […]
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 […]
Semantic Segmentation using Deeplabv3 on Flo Edge One
Let’s take a look at a deep learning algorithm called semantic segmentation today. It is technically an extension to object detection where instead of bounding the rough region containing the object in a box, it classifies each pixel in that region as part of the object or not part of it. This essentially creates segments […]
MiDaS Depth Estimation Model on Flo Edge One
This is an introduction to a machine learning model called MiDaS that can be used with the Flo Edge One. You can easily use this model to create AI applications using Flo Edge as well as many other ready-to-use Flo Edge GPU models. Before we get into that, let’s take a quick look at the […]
People detection and counting using YOLOv5 on Flo Edge One
In this blog we will be seeing how YOLOv5 can be used for people detection and counting. Our dataset is a variety of clips from an India vs. Pakistan cricket match, covering all your favourite shots and moments! Yes, including all the random clips of camera wala dada focusing on pretty women in the crowd […]
How Edge AI is revolutionizing Internet of things
The Internet of Things (IoT) and artificial intelligence (AI) are two technologies that have been rapidly advancing in recent years. IoT refers to the interconnectivity of devices and sensors that can collect and exchange data, while AI involves the development of algorithms and software that can perform intelligent tasks. These technologies are becoming increasingly integrated, […]
YOLOv5 Object Detection Model on Flo Edge One
If you have been keeping up with the advancements in AI technology, you’ve definitely heard terms like “YOLO” and “object detection”. They sure have become buzzwords in the field. So what is Yolo? “You look only once” is an advanced AI algorithm that accurately detects and classifies objects in a given image. In this blog, […]