This computer vision booth analyzes users throwing darts from multiple cameras, scoring each dart before logging data to the cloud.
To develop an Android application for object detection which is supported by Snapdragon mobile platforms with neural processing SDK.
The robot tank learned to follow unmarked walkway using OpenCV and TensorFlow.
Add the power of a GPU to your rover.
Use your Android phone as eyes and brain to let Sphero see and respond to the world around it.
We install OpenCV, write test scripts to capture an image and also carry out colour separation using OpenCV.
An automated robotic arm sorting colored objects using computer vision and real-time operating system.
Improper strength training is dangerous, but personal trainers are expensive. FormCheck provides real-time feedback on your exercise form.
I'm incrementally re-purposing the AWS DeepRacer for general purpose mobile robotics tasks including parallel-parking and lane-following.
This project is based on the use of the development system M5StickV, for the classification of emotions.
Get machine learning running on your MaaXBoard using TensorFlow
If you already had cats visiting your garden then you understand my motivation for this project. What about using computer vision to help?
I was looking for a way to show students how computer vision object classification and detection worked then I reached for another M&M...
A candy dispenser using Android Things and TensorFlow Lite.
A robot that can retrace a route by watching a prerecorded video of it.
Auxi is an autonomous load-carrying vehicle used to carry small loads around using computer vision.
I programmed a NEAT library on C++ and used the QT Creator IDE.
The UI receives a camera Image and sends the teams motor comands.
A smart traffic light focusing on computer vision and IoT to reduce traffic congestion in urban areas, while ensuring pedestrian safety
An autonomous drone equipped with an AI to detect fire on an early stage and deliver first-aid kits to victims.
Containment Sentinel increases efficiency of human resources through real time automated multi-spectral firebreak monitoring and tracking.
Managing two cameras to calculate a depth map using a Netduino board and C#.
Forget recycling, this robot does it for you!
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.
LogicTronix.com have built the "Deep Learning Processor Unit (DPU) TRD for ZCU104." We have created the VIVADO project and PetaLinux.