Usecases

This project aims to use large-scale remote sensing data to monitor variations in vegetation photosynthetic carbon uptake from hourly to yearly timescales.

This project aims to enhance wildfire simulations in current ESMs and support more effective wildfire management.

This project aims to identify individual trees across the United States using high-resolution aerial imagery and deep learning.

This project develops a distributed video analytics framework for cattle farms. We aim to detect and track cow activities from multiple video streams (30FPS) at millisecond granularity.

This project develops a millisecond-scale object recognition system for Microsoft HoloLens. We aim to increase the service time of the glass device by offloading computation tasks to edge servers without hurting user experience.