Cloud-based Automated Electronic Monitoring for Fisheries of the Future

Electronic monitoring (EM) represents a promising opportunity for fishery management of the future. Yet after nearly two decades of implementation less than 1% of the world’s fishing fleet are able to participate in these programs. Cost remains a key barrier to the implementation of these programs and the primary cost drivers are manual video review, data transmission and data storage. Our SBIR Phase I efforts have proven the feasibility of utilizing computer vision and machine learning techniques to analyze EM video with human-level accuracy and resulted in technology at technology readiness level (TRL) 5. The aim of this project is to extend and enhance our technology to a TRL 9 and begin onboarding global customers.