A dress with Curie's pattern matching engine on Arduino101 to control the embedded LEDs, which makes constellations show up on the dress.
A TinyML based Medical device powered by Edge Impulse to predict Atrial fibrillation, AV Block 1 and Normal ECG with >90%.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
Predict the possibility of arrhythmias on an 8- bit Microcontroller, without sending the corresponding sensor data to the cloud.
Redesigned approach with Implementation of Decision Tree for better parameter analysis with alert and control provided by 3rd party app.
This project walks through the build of an embedded Linux image for the Kria KV260 Vision AI starter kit using PetaLinux 2021.2
Collates local weather data on Google Sheets and interprets it with a neural network model built w/ TensorFlow to predict rainfall intensity
Help the hearing and speech impaired children learn and communicate normally by means of sign-language.
Via MKR GSM 1400, collate water quality data from resources over GPRS to train a Neuton model, run the model, and transmit results via SMS.
Jrobot Self Drive (episode 3 of Jrobot series) is a self-driving footpath traveler based on machine learning (Keras and TensorFlow Lite).
Spectrino - Arduino devices that can be implemented on a wide spectrum of touch-free tinyML based housing and society systems.
This project shows how you can bring the Wizarding of Harry Potter to reality with computer vision and machine learning!
Build a custom trash classifier using the Raspberry Pi and Lobe, a beginner-friendly machine learning program (without coding).
GStreamer is a popular framework for implementing video pipelines in Linux. This project shows how to create a custom AI plugin.
Xilinx just announced Kria™, their newest product portfolio. This project takes a sneak peek at the adaptive and production ready SOM.
An autonomous robot concierge for human environments. With computer vision on a single Raspberry Pi! Built for a Hackathon 2025 in 24 Hours!
An intelligent device for seniors which detects falls and sends emergency alert messages with location information using a cellular network
Learning Image Classification on embedding devices (ESP32-CAM)
Train a neural network model in 10 minutes, and use it on ESP32 with MicroPython to control a light switch. Everything done in browser.
My yard is under attack. That’s why I used a Raspberry Pi, a Pi camera, and some machine learning to catch my yard’s attackers in action.
A voice-enabled machine which reads book and replies to the questions.
Your neighbor loves to blast Reggaeton music at full volume every morning at 9 am. Could this be an opportunity for an AI device?
Get Xilinx Vitis AI hardware accelerated inference up and running with minimal effort using Python and PYNQ!
Recognize and monitor litter with object detection via this self-driving robot. It also deploys a video stream and a fall detection system.
