Natural Resource Managers use camera traps and other sensors to monitor and adaptively manage threatened and endangered (T&E) species and other species of interest. However, moving, storing and analyzing large quantities of photos currently poses multiple significant challenges. Picogrid Platform addresses these challenges by combining hardware capable of real-time photo collection, cloud-based photo/video management software and a variety of third-party AI algorithms. This talk will cover the experience of building and testing enterprise-grade software for camera trap image management used by the Department of Defense.

Martin Slosarik is a VP of Product Development at Picogrid. He leads R&D for Picogrid's sensor analytics software. Before joining the company, Mr. Slosarik was a consultant at McKinsey & Company, building digital solutions for corporate clients. Prior to that, his research project Wadi Drone won a $250,000 prize in the prominent international Drones for Good competition. He holds a B.Sc. in Electrical Engineering from NYU.