There is currently no effective way to quantify courtship patterns among ostracods (tiny crustaceans that produce luminous courtship displays throughout the Caribbean). Waterborne Autonomous Low Light Electrostereovideography (WALL-E), is a submersible low-light camera that can be deployed in tandem to analyze these courtship patterns using computer vision techniques. This capstone project will develop a system with the following features:

● waterproof stereo camera setup with the ability to record onto an SD card for further analysis

● GPS to retrieve location and time information

● post-processing computer vision pipeline to create 3D map of ostracod light pulses in real time