Image Recognition, Object Detection and Pose Estimation using Tensorflow Lite on a Raspberry Pi
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
Using an LCD.
Ever wonder how it feels to be like a wizard? Try this magic wand and cast your own spells and watch them shows up on the screen!!
Identify the faulty components via anomalous sound detection and diagnose ensuing cooling malfunctions via thermal visual anomaly detection.
This ML acceleration tutorial is on how to create a DPU TRD in Xilinx VIVADO design tool and how to configure Petalinux for Desktop-GUI.
A computer vision project that monitors vehicle traffic in real-time using video inferencing performed on the Brainchip Akida Dev Kit
Implement camera image recognition using deep learning on Raspberry Pi Zero W and VisionBonnet (from Google AIY Vision Kit).
I have seen people making getting started guides for the OpenVino toolkit on Linux but there was nothing with Windows, so I made this guide
Lumina makes it easy to create and display stunning artwork on your TV. Just connect Lumina to your TV via HDMI. It's voice controlled.
This camera enables flexible study of animals in areas with poor cellular reception, such as the mountain ranges of Colorado.
A vision ML–enabled garden robot that detects slugs and automatically sprays an organic garlic solution to stop them from reaching plants
This project is based on the use of the development system M5StickV, for the classification of emotions.
This tutorial consists Petalinux 2020.2 BSP for the Ultra96v2 FPGA board & BSP also includes wifi, so you can use it for DPU based designs.
We have developed and test the DPU TRD for ZCU104. This TRD have used the DPU IP version 3.0, the design have 1 core DPU & softmax function.
A sensor (Arduino Nano 33 BLE board) that tells you if you are doing pull-ups properly and counts the number of correct pull-ups
Learn to build your very own smart weather station powered by machine learning, from data acquisition to training to deployment!
Hmmm, what does Palpatine has to do with Lego?
A simple way to add Computer Vision to Arduino’s Alvik Robot” (plus other programs and tricks) 🤖📷
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.5 flow for Avnet Vitis 2022.1 platforms.
The project combines machine learning with low-power hardware to enable ultra portable devices to understand their surrounding world.
FPGA implementation of a highly efficient real-time machine learning driving assistance application using a camera circuit.
We solve a spark sound recognition task from raw audio data on a SparkFun RedBoard Artemis ATP board. Spark detection on a SparkFun!
Estimating plant growth parameters for high throughput phenotyping using regression and EdgeImpulse on low power Sony Spresense under 0.35A!
