Link to hackathon notes
https://docs.google.com/document/d/1KPcapY3LNtZ5nnSNl-_BrrGktfDZ_psH2LO7PlWli50/edit?usp=sharing
Our project makes it easy to automate the identification and tracking of invasive species in the IRL.
In order to achieve this, we modified layers of a MATLAB CNN called alexnet and retrained with 1400 lionfish images.
Our deep learning software is called LionFishSlayerNet. Yeah, it's dope!
A Raspberry Pi is used as a target for the CNN.
A camera module connected to the Pi captures images that are fed to LionFishSlayerNet.
LionFishSlayerNet makes a prediction on the image. if it thinks it's a lionfish, it will stop and send data to an IoT cloud over wifi.
The data is available here: https://thingspeak.com/channels/618366.
The data tells you, when the image was taken, where it was taken, and how confident the neural net is that it's a LionFish.
Boom! A.I and IoT do all the work while we sit back and relax.
LionFishSlayerNet can be trained to identify any other invasive species if you have a big enough dataset. The possibilities are endless!
https://drive.google.com/drive/folders/1KccnW2Lko9WKrjE57v6HrHvHiTW_qsJU?usp=sharing
Deep learning matlab support package Alexnet matlab package Raspberry Pi matlab hardware support package
Loss in accuracy when dealing with non-lionfishes Requires proximity to subject