Camera tracking is an efficient way to monitor wildlife populations, and automating this process will decrease the amount of time and monetary investment required. Infrared cameras allow for continuous detection at nighttime without disrupting wildlife.

What it does / How we built it

  • Raspberry-Pi captures and uploads infrared images to AWS S3 Buckets
  • Rekognition deep learning image package and Python examines images for animal/human entities
  • Uploads animal count to MongoDB
  • Business/user-friendly AngularJS/NodeJS website to present data in a comprehensive way

Challenges we ran into

As AWS is a new technology, it took us a while to set it up and configure it for our project.

Accomplishments that we're proud of

Learning to work with a broad tech stack, cutting edge technologies, and integrate all the pieces together to form one final product.

What we learned

We learned a lot about AWS, cloud computing, teamwork.

What's next for IR Ranger

Scalability of databases and tech stack for future growth.

Share this project: