Computer vision and machine learning applied to plant and animal agriculture, human medicine, and autonomous vehicles.
Faculty: Daniel Morris
Smart Agriculture
Big changes are coming to animal and plant agriculture. New sensors combined with deep learning are enabling individual animal monitoring and health assessments with the goal of providing individualized care for each animal. Similarly, computer vision techniques that segment and analyze each plant and fruit provide a direction to improve plant care and raise yields. In the Smart Sensing Lab we are collaborating with agriculture experts to bring these goals to fruition.
Autonomous Vehicles
There is a revolution going on in the automotive world. Right now cars are a manually controlled legacy of the 20th century that cause countless deaths each year. There is a better way that is being ushered in by technology to make cars see for themselves. In the Smart Sensing lab we are pressing on with this goal as we develop deep learning methods to fuse data from multi-modal sensors to achieve better accuracy scene understanding and eventually smarter and safer cars.
