I created a crystal carver that crafts slices with MRI/CT; Micro-CT scan results are used to make otherwise time-consuming specimens.
Multi-stage inference with Edge Impulse/Tensorflow Lite - Raspberry Pi 4 Compute Module
To develop a machine learning model for object detection which is supported by Snapdragon mobile platforms with Neural Processing SDK.
The project is designed to utilize the Qualcomm Neural Processing SDK. The application performs semantic segmentation using DeepLabV3.
This article is on analyzing the activation function and its effects while working with Vitis AI tool!
This blog contains all the necessary info to optimize your TinyML applications
Distribute ActionAI from many cameras with pose estimation at the edge on the coral dev board microcontroller.
How to train a custom ResNet18 model for Maix-II board using transfer learning in PyTorch and convert the model to AWNN format for inference
A Tensorflow 2 CNN implementation for detecting Acute Lymphoblastic Leukemia on a Raspberry Pi 4.
Getting started with custom computer vision for your project is a snap using the Remyx Engine and Arduino Portenta H7
Use an Arduino Nicla Vision to determine and alert if a driver's eyes are closed for more than 2 seconds.
This device is a conveyor, at the input of which raw grain enters, and at the output we get grain clean from dirt.
Revolutionize playtime with my Raspberry Pi-powered Ball Tracking Robot. Explore the future of interactive robotics in this DIY project
This robotic sports appliance leverages AI services suchas Computer Vision and Text to Speech to inflict maximum motivation or demotivation.
Designing a car to stay within lane and react to stop signs and lights
EleTect seeks to safeguard lives, promote harmony, and aid in the preservation of animals by utilizing technology and ecological knowledge.
Since the Mecanum wheel was introduced, I wanted to make a robot with them but the cost was too prohibited. That changed in 2019-2020
Build a robot that can give quiz questions to kids. Keep them engaged and learn something new.
Build a machine learning model using a federated training framework to keep data on-device, train locally, and update a global model.
An exploration in pose estimation for rock climbing.
This project tries to estimate the CO2 level in an indoor environment by counting the person in that environment using TinyML.
A smartphone arm was created using myCobot and the OAK-D OpenCV DepthAI camera, allowing users to always enjoy videos right in front of them
Explore robotic arm's cutting-edge design, versatile functionalities, and its impactful role in automation and education.
Switches are not necessary any more! With an AI camera lights turn on and off as you need them, even when you are still on the sofa.
