Get machine learning running on your MaaXBoard using TensorFlow
In this project, we'll learn how to train a face mask detector and deploy it on a NVIDIA Jetson board using TensorFlow, OpenCV and TensorRT.
Current ADAS algorithms such as object and lane detection perform badly in night conditions. How about enhancing the image as preprocessing.
This article highlights is a maker-friendly robotic arm with dynamic tracking, designed for robotics education!
Smarten your surveillance : Automatic License Plate Recognition System for smart traffic & security systems with real-time vehicle insights
Containment Sentinel increases efficiency of human resources through real time automated multi-spectral firebreak monitoring and tracking.
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.
Create an intelligent mobile companion that follows your face and keeps you engaged!
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.
This project aims to implement the Support Vector Machine (SVM) on a Zynq 7000 or Zynq-MPSoC board.
In this proof-of-concept project, we utilize OpenCV to extract star radial velocities that may contribute to the detection of Earth 2.0!
This project demonstrates how to get up and running on the TDA4VM Edge AI Starter Kit running deep learning demo applications.
I want to get back into developing fun projects, and no better start than with my Raspberry PI 3 B+ and some CV applications!
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
This project uses TinyML model and Arduino TinyML kit to monitor animals in the surroundings.
I was looking for a way to show students how computer vision object classification and detection worked then I reached for another M&M...
This project compares inferencing MobileNet and EfficientNet-Lite on the Coral dev board vs MaaXBoard and Raspberry Pi.
CCTVs just watch, this one thinks! Using AI to identify human activities that may pose security threats to vehicles!
A demo on how to implement object detection and tracking found objects. Edge Impulse Linux Python SDK is used for the object detection
Use your Android phone as eyes and brain to let Sphero see and respond to the world around it.
I built a cornhole board that tracks a thrown bag with computer vision and adjust the board to make it land in the hole.
