Hand gesture recognition based on Raspberry Camera and TensorFlow. All the steps are described from the dataset creation to the final deploy
An embedded application that trained to recognize the words “yes” and “no”.
Cool and easy way to check if someone has opened your fridge without your knowledge.
This guide provides detailed instructions for implementing stereo neural inference using the Ultra96-V2 and Dual-Camera Mezzanine.
To develop an Android application for object detection which is supported by Snapdragon mobile platforms with neural processing SDK.
Use your Fitbit history to provide a recommendation on the best time of day to workout.
Object Detection and Segment Anything with Text Prompt on Jetson Orin. Optimized for edge deployment and capable of realtime interactions.
An automatic system for recognizing any visitor who has already been to the house before through deep learning in facial recognition.
An object detection model deployed in the Vehicle Traffic Analysis use case which can track objects (car) location, speed and direction.
Underwater Image Enhancement with Generative A. I via denoising diffusion model on Nvidia Jetson AGX Orin
This project uses an LM35 sensor and Bolt WiFi module to measure the temperature change in a refrigerator.
Take a look at this very interesting project - Object Detection using Qualcomm® Robotics RB5 development kit
Safe Meeting keeps an eye on you during your video conferences, and if it sees your underwear, the video is immediately muted.
Use Edge Impulse to train a model for detecting gestures with the onboard accelerometer.
Train a machine learning model that can play Dobble (Spot-It) against you. This is part two of The Dobble Challenge.
Our goal is to automate the matcha-making process using two SO-101 arms, utilizing Jetson Thor for inference and the GR00T N1.5 VLA model.
Controlling DJI Tello drone with vision-based gesture commands via inferencing from Edge Impulse.
In this post, we will analyze differences and similarities between two different technologies used for machine learning problems in the IoT.
A primer on using a Transformer-based model on a low-powered, resource-constrained microcontroller-based wearable that detects falls.
Driving Monitor that tracks the driver's blind spots with a warning system created with an ESP32 CAM and powered by Edge Impulse.
Get started with Edge Impulse object detection in few minutes using one click deployment to Balena OS.
PyTLDR is a private, personal assistant capable of indexing your text data and reading it back to you, no training or fine tuning required.
ChessAI revolutionizes Chinese Chess analytics with computer vision and chess engines. You don't need special costly electrical boards!
Get machine learning running on your MaaXBoard using TensorFlow
