Songbird Identification System

Songbird Identification System

More than half of U.S. bird species are threatened by climate change. There is a need for large scale data collection on songbirds both in the U.S. and in remote regions of the world.  Documenting the activity of songbirds remains a challenge, given the high cost of accurately collecting and storing song data.  While there are options for affordable and high quality microphone systems on the market, there is a need for a system that will autonomously detect, store and report bird song from its environment.

Students who join this MDP project will develop an automatic system to detect, record, store and upload the birds’ songs, with the goal of creating one that is also suitably robust for outdoor deployment (e.g. low cost and battery operated)

More Information: 2017-BackyardBrains

Students who successfully match to this project team will be required to sign the following two documents in January 2017:

Student IP Agreement for this Project Team
Student Non-Disclosure Agreement for this Project Team
How to Apply

Project Features

  • Skill level All levels
  • Students 5-7
  • Likely Majors Any, BIO, BME, CE, CS, DATA, EEB, ECE, EE, MICDE, MIDAS
  • Course Substitutions EECS 498, CSE-G, EE MDE, Honors, CE MDE, MIDAS, MICDE, Data Science Capstone, ECE Cognate
  • IP & NDA Required? Yes
  • Summer Opportunity Interview Guaranteed
  • Signal Processing (2 Students)

    Signal processing (bird song identification), sensor selection and integration

    • Likely Majors: EE, CE, ECE, MICDE
  • Programming - Front End (1-2 Students)

    General Programming, numerical methods in data manipulation, Sensor integration

    • Likely Majors: CSE/CS-LSA, MIDAS
  • Database - Back End (1-2 Students)

    Database design, efficient storage of large amounts of data, power management

    • Likely Majors: Data Science, CSE/CS-LSA, CE, ECE, MIDAS
  • Avian Biology (1 Student)

    Basic avian biology and communication

    • Likely Majors: BIO, EEB, BME, Any

Faculty Mentor: Achilleas Anastasopoulosbackyard
Associate Professor of Electrical Engineering and Computer Science
 
 
 
 
 
Sponsor Mentor: Greg Gagebackyard
CEO, Backyard Brains
Gregory J Gage is a DIY neuroscientist. He has a Ph.D. in biomedical engineering from the University of Michigan where he worked in a neuroscience lab studying the microcircuits of the brain that are involved with choice behaviors. His work is published in top neuroscience journals, and was the recipient of the prestigious Anuradha Rao Memorial Award from Cell Press for this work as a graduate student.
 
For More Information About This Sponsor, Visit Their Website (Backyard Brains).