A TinyML based wearable using Edge Impulse software to detect the tablet consumption action.
Tiny Machine Learning Empowers Climbing Inspection Robots for Real-Time Multiobject Bolt-Defect Detection
This project tries to estimate the CO2 level in an indoor environment by counting the person in that environment using TinyML.
Open Science
RP2040-based bling that changes its LED color when it detects one of three keywords: "Pi", "3.14", or "Irrational"
Trying out Edge Impulse machine learning platform on XIAO BLE Sense board
Automate inventory management tasks with computer vision and an intuitive dashboard.
Predictive maintenance for future vehicles.
Using Sony Spresence & EI, turns analog oil tank meter into digital, realtime update on the app help delivery company optimize operation.
A device to monitor the condition of a classroom
This blog contains all the necessary information required to debug your TensorFlow Lite for Microcontrollers applications.
Integrate Node-RED & IFTTT with SenseCAP watcher to control practically anything.
This project implemented a natural language processing (NLP) model on a microprocessor, which recognizes simple words from human speech.
It automates the process of opening the lid of the dustbin only when a person is in front of the dustbin.
Enhance Arduino Nicla projects making them speak over WiFi.
Imagine a world where even the tiniest devices can 'see' and understand their surroundings.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
To build an ML pencil that will recognize 5 Hindi alphabets by analyzing their accelerometer and gyroscope data using Machine Learning.
Answer to the embedded developer’s dilemma. AutoML introduced by Edge Impulse.
As the vision-based technology of Gastroscopic Image diagnostic recognition is an important part of AI Healthcare.
Recognize and detect words on Arduino Nano 33 Sense with trained datasets and Tensorflow lite
Why type the entire cheat code again and again when you can simply use gestures?
A tinyML vision model that can classify pictures of people based on whether they are wearing a mask or not.
A smart cat feeder based on esp32s3
