We introduce an IVA pipeline to enable the development and prototyping of AI social applications.
Objectives of this project include self-driving on track, obstacle detection, and collision avoidance.
A flower that smiles with you.
You can't beat Mumbai traffic but you can have some fun while in it.
Using Pynq, we can implement an accelerated AI/ML on an FPGA without writing a line of HDL! Let's take a look at how we can this...
In the previous 2 part tutorial we built a model that plays the card game Dobble. Now we'll be deploying it on the Ultra96-V2.
SensiML Sensing and Control device to protect farmlands from future insects outbreaks and vector-borne disease due to climate change.
I was loaned a Radeon Pro W7900 GPU card by AMD to help with my training projects. How cool is that ?
A solution to accurately estimate crowd size in diverse locations without installing expensive infrastructure!
Snoring can be inconvenient and dangerous. Using the Buzz and machine learning we aim to help conveniently correct snoring patterns.
EleTect - TinyML and IoT deployed Smart Wildlife Tracking Technology with Audio, Image and Accelerometer deployed model tracking.
Introducing a smart mask built-on Arduino, that has the potential to disrupt lives in better manner.
This blog includes all the important projects that you can easily do at home. I made all these projects under 2 weeks spending 2 hours/day .
This bracelet enables you to do basic calculations on the spot by simply gesturing what you want in the air.
BABL leverages tinyML to distinguish a baby's cry from other noise, preventing false alarms, and alerting parents only when needed.
Modernizing legacy IoT devices using Edge of Network devices to send data to the Azure IoT hub and Machine Learning.
This year, I upgraded my Lego Defender Robot with the fixes I mentioned it needed after rev 1 last year.
Installing and testing of yolov8 on a raspberry pi5 with Coral TPU USB
The World's Easiest GPT-like Voice Assistant uses an open-source LLM to respond to verbal requests, and it runs 100% locally on a RasPi 4.
Connect your Raspberry Pi and the Pi Camera to MATLAB to run facial recognition.
Via Nano 33 BLE, collate local weather data, build and train a TensorFlow neural network model, and run the model to predict air quality.
This project is a Getting Started Guide to controlling a robot with hand signs that was presented in our Webinar series for ZUBoard.
Windows & Arduino Application for Monitoring MPH and Vibration of Jet Engine using Reed Sensor, SoftPWM, and Predictive Analytics.
This project is a proof of concept to test the feasibility of using tinyML with ultra low cost microscopes to classify microorganisms
