Water level measurement using artificial vision with Raspberry Pi.
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
Introduction low-cost IoT device for mobility-impaired users.
integration of Amazon Echo in intel edison board
Auxi is an autonomous load-carrying vehicle used to carry small loads around using computer vision.
Project ARIES - A system of intelligent and connected autonomous vehicles to provide an immediate response and action to emergency scenarios
Using Azure IoT Edge on Nvidia Jetson Nano with Time Series Insights to detect objects in video feeds with offsite recording to the cloud.
Forget recycling, this robot does it for you!
I was looking for a way to show students how computer vision object classification and detection worked then I reached for another M&M...
Capture and analyse pictures using Raspberry Pi Camera Module and Computer Vision API and display results on LCD.
This project used as arduino interface to control the motors, and the Creator Ci20 as image processor with a script in python.
LogicTronix.com have built the "Deep Learning Processor Unit (DPU) TRD for ZCU104." We have created the VIVADO project and PetaLinux.
This article is a "tips and tricks" for running Azure IoT Edge on Raspberry Pi. Plus Raspberry Pi 4 Tips for cooling, USB 3, and Docker.
Teach your robot to find a path in a maze of traffic cones using the camera and state-of-the-art deep learning model.
Most home camera systems have no concept of the content of images, here we add AI to detect when people are present in images.
To develop an Android application for object detection which is supported by Snapdragon mobile platforms with neural processing SDK.
I am having a go at building a CCFL-backlit computer screen from parts.
This post gives a general introduction of how to use deep neural network to build a self driving RC car.
This post gives a brief introduction of how to visualize your self-driving model. it can be very helpful for the model debugging.
This application can help to test self-driving model by using video. The developer also can use this tool to understand how the model works.
This project shows how you can bring the Wizarding of Harry Potter to reality with computer vision and machine learning!
‘Home Surveillance’ project is aimed at monitoring home using remote-controlled webcam interfaced to 96Boards CE board.
This computer vision-based parking system makes vehicle parking process super easy.
The project is designed to utilize the Qualcomm Neural Processing SDK. The application performs semantic segmentation using DeepLabV3.