Marcus Lee Sheng Wei
Data Engineering Analyst
"In our endeavor to make the reef restoration efforts more data driven, we created an intelligent underwater camera."
My role as a Data Engineering Analyst involves building capabilities around data. I joined Accenture as an intern working on Project:CORaiL, an artificial intelligence (AI)-powered solution using computer vision technology to help save coral reefs.
This project was so rewarding because it’s part of a huge sustainability effort, helping protect endangered coral reefs. We were able to apply the latest in applied intelligence technology to help marine scientists monitor their conservation efforts surrounding the Pangatalan Island in the Philippines. In our endeavor to make the reef restoration efforts more data driven, we created an intelligent underwater camera.
I was involved in the initial data collection and prototyping for a quick replacement system for the underwater hardware. I created a motion-detection software to run on a small computer, called a raspberry pi, to help capture photos of fish in the area. I also got to play around with a 3D printer to prototype hardware that could make deploying the underwater camera easier.
I worked with the Computer Vision Lead, who helped figure out how to streamline the marine scientists’ tasks by applying applied intelligence. We’re now working on training a more accurate deep-learning model based on data that were collected, as well as improving the camera hardware itself.
Read more about how we teamed up with technology and industry partners and a coral conservation foundation in El Nido, Philippines to develop an innovative solution for restoring the reefs.
Learn more about Applied Intelligence Careers.
People’s passion combined with industry-leading skills are what make Accenture what it is. Our culture is key to how we collaborate for success every day.
For Project:CORaiL, my daily tasks ranged from trying to get programs to run on the raspberry pi, to getting 3D models out for printing. However, most of my time was spent tuning algorithms to better detect fish entering the camera’s field of vision.
“We developed an intelligent underwater video camera to help make data-driven decisions.”
USA TX - Irving
Posted 12 days ago
USA TN - Louisville
Program, Project & Service Mgmt
Posted 7 days ago
USA VA - Arlington
Business & Technology Integration
Posted more than 1 month ago