Mask are crucial to minimize the chance of being infected or transmitting the virus, It is important to detect people who doesn't use it.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
Deep Clean watches a room and flags all surfaces as they are touched for special attention on the next cleaning to prevent disease spread.
Hajimete! Let DL pushing madness begin!
Setup the MaaXBoard over UART so you can access it via SSH. Then setup remote desktop.
Make an object tracking robot using Arduino and AI-powered vision sensor - HuskyLens.
This step by step tutorial is on "how to design the VIVADO system and Petalinux System" for DPU 3.0 TRD for ZCU106 FPGA Boards/
Get machine vision running on your MaaXBoard using OpenCV
Hardware platform combined with DeepLib, an easy to use but yet powerful DeepStream based Python Library, and a web IDE
First article in series about Line Following and Lane Following with CV
A 4 wheeled bot which can be trained to autonomously survey a known environment or can be controlled via a laptop or a phone!
AI-powered easy-to-use vision sensor which can learn a new object, face, and color just by clicking.
An open-source microscope that can detect disease like malaria, the main goal is to give quality health checkup to poor people.
Keep beachgoers safe by identifying still-hot bonfires, even when they've been put out and covered.
Containment Sentinel increases efficiency of human resources through real time automated multi-spectral firebreak monitoring and tracking.
Build a robot that can give quiz questions to kids. Keep them engaged and learn something new.
An autonomous drone equipped with an AI to detect fire on an early stage and deliver first-aid kits to victims.
Use a webcam and a Raspberry Pi 4 to extract information from QR codes and even make your own with Python
We will learn step by step, how to use a PiCam to recognize faces in real-time.
IoT Raspberry Pi security camera running OpenCV for object detection. The camera will send an email with an image of any objects it detects.
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
Version 2 of my lane detection system!
The image extraction is based on a novel algorithm which effectively works with the encoding system of the robot movement.
A robotic arm that uses Google's Coral Edge TPU USB Accelerator to run object detection and recognition of different recycling materials.