https://github.com/audevuilli/shazam4bb
Shazam for Bats & Birds - A realtime acoustic birds and bats classification systems built on the TFLite version of BirdNet.
https://github.com/audevuilli/shazam4bb
Last synced: 10 months ago
JSON representation
Shazam for Bats & Birds - A realtime acoustic birds and bats classification systems built on the TFLite version of BirdNet.
- Host: GitHub
- URL: https://github.com/audevuilli/shazam4bb
- Owner: audevuilli
- Created: 2022-03-31T12:22:49.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-02-01T10:26:35.000Z (over 3 years ago)
- Last Synced: 2023-03-07T14:54:21.810Z (over 3 years ago)
- Homepage:
- Size: 32.2 KB
- Stars: 5
- Watchers: 7
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Shazam4BB
Shazam for Bats & Birds - A realtime acoustic birds and bats classification systems running on a RaspberryPi device.
### Vision Statement
Shazam4BB (Shazam for Bats & Birds) is aimed at ecologists and nature-lover communities. This project facilitates the adoption of technology to monitor the calls of birds and bats and learn about the different species populated a local area. It provides easy-to-follow documentation to build and install the device as well as to visualise in real-time bats and birds calls. This project hopes to gain better understanding of how birds and bats species are distributed and adapted to various environment.
### Minimal Viable Project
Shazam4BB is a DIY birds and bats species audio classification device, which consists of both hardware (microphone, single-board computer) and software (classification algorithm and web server). To make it viable, a bats or birds species algorithm has to be implemented, an internet connection has to exist, and results have to be saved into a database.
1. Process: Audio recording. Microphone. Single-board computer with Audio Input.
2. Analysis: Audio analysis. Deep-Learning Algorithm to identify species in spectrogram.
3. Visualisation: Audio results. Save result in database.
4. Components: Microphone, Computer Processing Unit (CPU, GPU), Power module, Communication (Wifi, LoRa) Module
Shazam4BB is a on-going project. It has started with the help of the [**Open Hardware Makers (OHM)**](https://curriculum.openhardware.space/) and [**GOSH's 2022 Collaborative Development**](https://forum.openhardware.science/t/apply-here-for-gosh-s-2022-collaborative-development-program-round-1/3380) programmes. The aim of this project is to improve the technical capability of the 4 years old ["Shazam for Bats"](https://connected-environments.org/portfolio/shazamforbats/) project by migrating from an Intel Edison board to a Raspberry Pi board.
#### Team
The team behind this project is composed of PhD Students, Professors, and Practitioners in the field of ecology and engineering based at the [Connected Environments Lab](https://connected-environments.org/) at The Bartlett CASA, at the [People and Nature Lab](https://www.ucl.ac.uk/biosciences/gee/people-and-nature-lab/) at the Centre for Biodvierstiy and Environment Research CBER at UCL.
#### Specific Goals
There are similar open-hardware projects outhere that monitor and classify birds or bats in real-time. The project is specific for the following reasons:
- Classify bats in real-time on a Raspberry Pi.
- Document the device enclosure.
- Optimise for long-range transmission and low-power consumption.
- Allow classification of Birds and Bats on the same device.
### Similar Projects
- [BirdNet-Pi](https://github.com/mcguirepr89/BirdNET-Pi) by Patrick McGuire [@mcguirepr89](https://github.com/mcguirepr89) under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Internation Public License.
- [RPi-Eco-Monitoring](https://github.com/sarabsethi/rpi-eco-monitoring) by Sarab Sethi [@sarabsethi](https://github.com/sarabsethi) under a GNU General v3.0 Public License.