Building Universal AI which is state-of-the-art.
It's Halloween so the perfect time to cybernetically enhance a store-bought skeleton prop!
Perform sound recognition on Microchip's SAME54 Curiosity Ultra with Edge Impulse to detect a vacuum cleaner running.
Building your own yocto image to be run on RzBoard and network boot it from a Linux host.
This is how we went on a mission to solve one of the biggest challenges of remote collaboration using IoT and computer vision.
Use Arduino Nano BLE 33 sense Board to achieve wake word detection through a voice recognition model trained on Tensorflow
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
A compact prosthetic controlled by artificial muscle and EMG.
This project walks through how to import a C++ library of an Edge Impulse ML model to develop accelerated applications for AMD FPGAs.
Regression can be hand when classification goes with a high number of classes.
Perú’s government implemented an alternate-day travel restriction based on the license plate last-digit. Our solution look to automate this
I have created a generic deep learning model to detect activity with high accuracy which can be used on different animals.
Learn how to train CNN model for number classification with MNIST dataset and deploy on ESP32 with ESP-IDF framework.
As the vision-based technology of hand gesture recognition is an important part of human-computer interaction.
This post gives a brief introduction of how to visualize your self-driving model. it can be very helpful for the model debugging.
A project to recognize "yes"/"no"/other words and respond by lighting an LED in green/red/blue colors on an Arduino board.
We developed an MQTT RGB lamp using Pico, WIZnet W5100S, & Pico Bricks. Learn about the prompt & process for Chat GPT4.0 code interpreter.
We trained a wake word detection ML model and implemented it on Arduino Nano 33 BLE.
Build an object detection model on Edge Impulse that displays both available and unavailable parking spots.
Building an autonomous decision making process for devices using machine learning.
Dispense candy with your smile, using Google's ML Kit facial recognition and Particle Photon.
We Detect Distracted Behaviour of Car Drivers using Cameras and OpenVino to Speed up Inference
Utilize KV260's hardware acceleration to perform reliable human position estimation
An Edge AI-based bottle preparation machine that alleviates the stress of responding quickly when a baby cries in the middle of the night
