To develop a machine learning model for object detection which is supported by Snapdragon mobile platforms with Neural Processing SDK.
Classify major elephant calls such as rumble and trumpet
Chest X-ray scans can be used to detect whether a patient has pneumonia. This project uses an ML model to detect pneumonia.
The physical therapy training and progress remote monitoring AI solution during rehabilitation will be a great medical tool.
ultra-low power keyword detection on Avnet's RASynBoard
Electronics can be art. Art projects by postgraduate in Sichuan Fine Arts Institute. #WioTerminal #OpenSource
A double factor authentication system based on the combination of a RFID tag for token-based authentication and an air-signature.
One of the powers of machine learning is the ability to analyze variables indirectly by measuring a completely different one. Mov to IAQ!
This project will use the board to detect "yes" and also "no" for the improvement with the light stopping blinking for 3 seconds.
Train a wake word model by using tensflow machine learning and deploy to microcontrolloer as Arduino Nano BLE 33 Sense
Creative yet an easy to create technically sound alarm clock using the BOLT IoT module
With the LM35 and the Bolt IoT device we are able to get the temperature around us and can predict the temperature that can be in future.
The project is designed to utilize the Qualcomm Neural Processing SDK. The application performs semantic segmentation using DeepLabV3.
Vertical farming + drones = increased crop yields! Drones inspect plants in unreachable areas.
In this project I am Capturing images using an ESP32-S3 camera module and Processing images with OpenAI’s GPT-4o model, showing the result
Using embedded Vision AI for detecting reckless bravados trespassing and breaking proximity safety rules in Zoo
Audio classification with an Arduino Nano 33 BLE Sense to detect the sound of glass breaking.
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
Adding machine learning capabilities to TI-RSLK robot kit using Edge Impulse TinyML running on accelerometer data.
This project is to detect the wake word based on Arduino Nano 33 BLE.
Leverages IoT and ML to predict and alert urban communities of pipe freeze risks, ensuring water safety and infrastructure resilience
To build a bolt module that detects temperature and if any anomaly in readings, send the mail, SMS, alarm through buzzer and LED as an alert.
Learn how to enhance the control of consumer electronics devices with hand gestures and how to create similar solution by yourself.
Have you ever wanted to make your apps “smarter”? This will cover developer should know about Open Neural Network Exchange
