Deep learning for vision-based systems in the chemistry lab
Dnr:
NAISS 2024/22-1219
Type:
NAISS Small Compute
Principal Investigator:
Jens Sjölund
Affiliation:
Uppsala universitet
Start Date:
2024-10-10
End Date:
2025-10-01
Primary Classification:
10207: Computer Vision and Robotics (Autonomous Systems)
Webpage:
Allocation
Abstract
This project will explore vision-based systems as a cheap proxy for elaborate experiments in the chemistry lab. The plan is to test whether a deep learning system can estimate the viscosity of a fluid from a video clip and to develop a camera-based positioning system for a robot that assembles batteries.