Build your own free Magic Leap 1 COVID-19 Detection System. This project uses Magic Leap 1, TensorFlow, Unity & Raspberry Pi 4.
TensorFlow 2 implementation of DenseNet and the SARS-COV-2 Ct-Scan Dataset by our collaborators, Plamenlancaster/LIRA.
This is a low-cost stethoscope built from off-the-shelf parts that listen and classify the sound of your lungs.
The intruder came, and the system fights back.
ShAIdes 2.0 is a much smaller, more practical, redesign of the original. ShAIdes is a transparent UI for the real world.
Easily quantify auto, bike and foot traffic using OpenDataCam on balena with AI-powered video analysis and built-in privacy.
A beginner Arduino project of controlling led brightness with a potentiometer
This is a webcam installed in organizations and homes to monitor people who wear nose masks.
A Tensorflow 2 CNN implementation for detecting Acute Lymphoblastic Leukemia on a Raspberry Pi 4.
Smart thermometer which leverages 1-wire temperature sensor and WiFi connection to get weather forecast for the closest night and the day.
The home Door opens if the house owner comes infront of the camera, and if any intruder comes his photo will be taken and emailed to owner
As Covid-19 is a contagious pandemic. We came with a solution to detect it from the comfort of your Mobile App. (includes a protect DIY Mask)
Learn how to set up and boot multiple OS's on the ZCU102 using the Xen hypervisor.
The smart tunnel prevents further outspread of COVID-19 / SARS-CoV-2. It can disinfect a person fully in a time span of just 15 seconds.
This is an example based on TensorFlow gesture recognition.
This project compares inferencing MobileNet and EfficientNet-Lite on the Coral dev board vs MaaXBoard and Raspberry Pi.
This project proposes to implement a computer vision-based social distancing detector.
This project compares inferencing MobileNet and EfficientNet-Lite on the Raspberry Pi vs MaaXBoard and Coral dev board.
The cake is a lie.
Help the hearing and speech impaired children learn and communicate normally by means of sign-language.
This project compares inferencing MobileNet and EfficientNet-Lite on the MaaXBoard vs Coral dev board and Raspberry Pi.
How to DIY a Pocket Monsters Discriminator
SOS for each new case around you, live data for places that matter. Self-diagnoses, prediction, update. Based on advance machine learning.
TensorFlow Lite makes sense for edge devices like the MaaXBoard.