In order to combat noise pollution, this project uses Raspberry Pi 4 to analyze sounds. Deployed in a fleet, these devices could monitor the diverse sounds in a city, an a broad effort to reduce noise pollution. Here’s more from Alan Boris via hackster.io:
We’re using a Coral Dev Board or a Raspberry Pi 4 with an attached Edge TPU to listen to ambient sounds 24/7 and categorize them for us. We’ll also demonstrate how we could deploy a fleet of these devices (e.g. across an entire city) and feed new information back to all the devices to make them “smarter.”
To help reduce noise pollution, we first need to know which noises are most prevalent and how often they occur. Is it dogs barking at night or loud machinery during the day? How often does it actually occur? Is it worse in one part of town or another? The use case is not limited to noise pollution. We can train our sound categorization model to recognize almost any audio we want, assuming we have enough samples of the target sound.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
No comments:
Post a Comment