I combine an Arduino camera, AWS Lambda and Rekognition, and an Amazon Echo to determine if I've left the washing on my clothes line!
Build an anomaly detection ML model with Edge Impulse based on thermal images, with data sent over cellular to the cloud via the Notecard.
OpenCV OAK-D camera with ADLINK Edge AI hardware & software to build a social distancing solution.
Smart Community Hall Traffic and Air Quality Control IoT project counts the number of people in the hall and measures CO2 and Temperature.
Gather data and develop algorithm to distinguish walking and running.
Learn how to build a low-code connected ML + IoT project using the Blues Wireless Notecard and a Person Sensor from Useful Sensors.
An autonomous drone to combat wildfires!
Use machine learning with IoT to identify and connect with common scenarios in life (for example, webcam-based door security).
A contact-less temperature measurement booth using face detection and helping people what to do next if high temperature is detected.
"MiMaMori Alert" is automatic security camera for your home. Automatic learning without teacher images, and notify if something is visitor.
Are we neglecting the importance of water? Probably, the answer is YES. Go through this different and versatile project to find a solution.
This computer vision booth analyzes users throwing darts from multiple cameras, scoring each dart before logging data to the cloud.
A T-800 skull that can talk, listen and detect humans/objects using ML
Self checkout smart cashier using object detection to calculate number of items and total price for your purchase.
Running a simple ANN on a FPGA for MNIST with more than 200'000 fps. Using the Kria KV260 FPGA, HLS and Pynq
A smart device that detects running faucets using a machine learning model and sends alert messages over a cellular network.
"Magic wand" gesture recognition by running CNN on Arduino.
An open-source microscope that can detect disease like malaria, the main goal is to give quality health checkup to poor people.
This demo shows an example of how to use machine learning in a decision tree concept, programmed into a smart $2 LSM6DSOX sensor.
Automated realtime fare evasion detection system can help save million of dollars for transit authorities !
Edge Impulse based TinyML model using Audio data acquisition to predict the vehicle failures like faulty drive shaft, Brake pad noises.
A low power vision-based sewer faults detection device using a tinyML neural network to produce highly accurate sewer faults classification.
A digital stethoscope that auscultates and detects abnormalities in the respiratory system using tinyML at the edge.
Identify bananas and their ripeness based on structure and color, helping color-blind people buy the right bananas!
