Bird health monitoring system for Mandai Bird Paradise

Monitoring the health of birds in the new Mandai Bird Paradise, which is home to more than 3500 birds across 400 species, is a logistical challenge. A bird's weight is the most important metric used assess its health, but the conventional approach requires capturing and manually weighing the birds. This method is laborious and causes stress on the birds.

To address this problem, an adaptable bird feeder was designed in this project. It tracks the birds via RFID tags, records the weight, and captures the image of each bird. It has a robust data processing algorithm to accurately capture the dynamic weights, and a scalable IoT architecture to collect and upload real-time data to the cloud. The solution also includes a comprehensive web app for viewing of the health data of each bird.

Project Team

Students:

  • Josianne Setyo (Biomedical Engineering, Class of 2023)
  • Tomohiko Sugimura (Electrical Engineering, Class of 2023)

Supervisor: