Date Thesis Awarded


Access Type

Honors Thesis -- Access Restricted On-Campus Only

Degree Name

Bachelors of Science (BS)




Ran Yang

Committee Members

Jim Deverick

Jeffrey Nelson


This thesis introduces a video laryngoscope with improved visibility and an AI guidance system. The laryngoscope is equipped with a camera and can automatically stream live video taken during intubation to a server through WiFi that is accessible to any device connected to the same WiFi station (router, hotspot, etc.). It is also compatible with devices with Bluetooth Low Energy (BLE) and can thus establish paired communication with most of the electronic devices on the market. The backend of the AI guidance system is a neural network trained for image segmentation. Our most recent model uses a new network architecture to identify the vocal folds in the laryngoscope’s video feed with high accuracy and inference speed.


My partner, Tianchen Shi, submitted before I had made revisions to the paper. Is it possible for him to update his submission?

Also, just to avoid confusion, we worked together on the paper but had separate defenses with (slightly) different committees. I think it would be fine for there to just be one copy of the paper up as long as it is this newer version and not the older one he submitted, but I am not sure how you would display the two cover pages.

Available for download on Wednesday, May 04, 2033

On-Campus Access Only