A walkthrough on setting up Arch Linux and Tensorflow with GPU support. Everything needed for a deep-learning workstation.
In this project we take a look at making the Arduino Nano 33 BLE learn a few gestures and how to integrate it with a game!
This piece of art knows when it’s being photographed thanks to TinyML
Smart glasses with a gentle memory assist.
Raspberry Pi Zero W + Google Coral USB Accelerator = low power, customizable AIoT smart camera!
Using rice to understand the impact of data in a machine learning model, and why quality data matters for computer vision projects.
Explore a creative solution to help prevent human-wildlife conflicts with LoRa and Blues Cellular IoT.
This Vitis Flow tutorial is expanded tutorial on "Vitis DPU TRD" for ZCU102 with detail steps, Build and BOOT LOG and Debug hints.
This Offline Voice Recognition Sensor is built around an offline voice recognition chip, which can be directly used without an internet
Edge computing a ML model on ESP8266 and finding different gesture made with hand.
This post gives a general introduction of how to use deep neural network to build a self driving RC car.
An autonomous drone equipped with an AI to detect fire on an early stage and deliver first-aid kits to victims.
A vigilant AI sentinel detects surface cracks and dispatches image and location data to the cloud via the cellular network.
Learn the basics of interfacing Python with Arduino.
Bark Beetle Sentry detects bark beetles early using smart sensors to protect forests from infestation.
PYNQ is great for accelerating Python applications in programmable logic. Let's take a look at how we can use it with OpenMV camera.
Walkthrough of setting up a Raspberry Pi 3b+ for using a Tensorflow model to do image classification from PiCam captures.
IoT + machine learning solution to air pollution in real-time.
Getting started with machine learning for the Dobble card game using TensorFlow.
Embedded machine vision board, make your robotics ML enable.
Deploying and inferencing a TFLite model trained using Edge Impulse Studio on M5Stack UnitV2
Using YOLO on an Nvidia Jetson Nano to detect faces and objects in photos, videos, and live camera stream.
Throw the ball in the cup and score points! A fun way to learn how to add integers.
A wearable low-powered device detects falls using machine learning at the edge. It also monitors the heart rate.
