You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
Monitor, sense, predict, and act!
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Use your Fitbit history to provide a recommendation on the best time of day to workout.
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.