Learn how to add the IoT and TinyML to analog sensors with the Raspberry Pi, Edge Impulse, and the Notecard.
An autonomous car able to drive along a lane and react to roadsigns, obstacles and smart RFID markers, powered by OpenCV and Embedded Linux.
Open Dictionary is a computer-vision based dictionary. It can be thought of as a dumb cousin of Google Translate.
Using Azure IoT Edge on Nvidia Jetson Nano with Time Series Insights to detect objects in video feeds with offsite recording to the cloud.
Via Spresense; collect dental cast images on an SD card to train an object detection model, display video stream, and run the model directly
Hardware platform combined with DeepLib, an easy to use but yet powerful DeepStream based Python Library, and a web IDE
How to train your custom CNN model and run it on the microcontroller. Recognize anything! Well, almost.
The cake is a lie.
Quadcopter control and pole balancing using Deep Reinforcement Learning and Hand Gestures on Ultra96
Using AI to detect dangerous bacteria and harmful particles in the water.
Learn to build a gate opener that reacts to facial emotions using Huskylens V2 and ESP32 P4.
Use computer vision to control a Nerf gun, aim, and fire, all on its own!
This project is to train its own dataset using yolov4-tiny and deploy it to run on kv260
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
The project describes how to implement a real-time head pose estimation on Ultra96-V2 using Vitis-AI.
Using AI to detect and monitor objects, then to connect and record it on the IoT platform.
RPLIDAR A1 is a low cost 360 degree 2D laser scanner (LIDAR) solution developed by SLAMTEC.
Recreating the BIST app on 2025.1 for Kria Vision Kit.
In this post, you will learn how to connect a LiDAR to your Raspberry Pi 4 Model B using ROS Melodic on Ubuntu Desktop 18.04.3.
Computer Vision Exploration with the help of Edge Impulse and Arduino.
The title says it all! This project uses OpenCV and a convolutional neural network in PYNQ on an Ultra96 V2 to create a smart lock.
Show how to use Tensil’s open-source accelerator, TensorFlow Lite and Xilinx PYNQ to run YOLO model on Avnet Ultra96 development board.
This project describes how to add support for Vitis-AI 3.0 to the Ultra96-V2.
We collaborated with Nanonets for automation of remotely monitoring progress of a housing construction project in Africa.
