Current ADAS algorithms such as object and lane detection perform badly in night conditions. How about enhancing the image as preprocessing.
Take some pictures and then train a machine learning model to recognize how many fingers you're holding up.
Ichigo is an agricultural robot that goes around the cultvational land and gets you statistics about the diseased plants and the field.
Smarten your surveillance : Automatic License Plate Recognition System for smart traffic & security systems with real-time vehicle insights
Fall detection prototype with Arduino clients, Raspberry Pi server and Machine Learning.
This is an example on porting TensorFlow Lite to the low-powered i. MX RT1010 for on-device wake-word detection.
Harnessing people's network to save the world from another pandemic by improving farm health.
This tutorial is on "detailing the vivado and petalinux design flow" of ADAS system design for automotive application.
A computer vision system that detects and localizes surface cracks in concrete structures for predictive maintenance.
I built a project to identify birds at a bird feeder using Machine Learning (TinyML) and transmit data to the cloud with a Blues Notecard
Translate an onnx model so you can easily run it on Avnet's RzBoard
Implementing OpenAI Gym environments for an open source quadruped robot. Supports multiple gaits on different terrains.
In part one of a two-part project, we display thermal images on a TFT display, save them to flash, all to build an ML model w/ SMS alerts!
This project aims to implement the Support Vector Machine (SVM) on a Zynq 7000 or Zynq-MPSoC board.
Recognize up down and left right movement using embedded ML on Raspberry pi pico.
Non-intrusive energy consumption analysis for effective climate change mitigation using machine learning at the edge.
A non-invasive solution for hot flashes during menopause using machine learning
This project demonstrates how to get up and running on the TDA4VM Edge AI Starter Kit running deep learning demo applications.
Seeed Wio Terminal programed using Codecraft/Edge Impulse is a fantastic tool for beginners to start on tinyML (Embedded Machine Learning).
Wild animals destroy property, kill/infect livestock, as well as harm agriculture. Our drone targets and scares away these pests.
Exploring the most important Object Detection models and tools applied to the edge
Extracting meaningful features from time-series signals. How does Edge Impulse Spectral Block work?
In this project, I use an RTSP camera feed with my Edge Impulse model running on my KR260 to have a wireless setup.
My idea presents a deep neural network model to classify images for COVID-19 presence, viral pneumonia or normal from chest X-rays datasets.
