Term 252

Near-infrared Vein Detection AR Glasses with Safest-Segment Recommendation

Project Type: Self-Initiated

Project Description

IV insertion is often challenging, leading to multiple attempts, patient discomfort, and delays, while existing systems offer limited guidance on optimal site selection. To address this, a near-infrared augmented reality system visualizes veins in real time and uses AI with rule-based analysis to recommend the safest insertion point.


Download Poster

Project Team

Abdulaziz Saleh Alrashidi
Abdulaziz Saleh Alrashidi
ISE
Nawaf Fahad Alshammari
Nawaf Fahad Alshammari
ICS
Hisham Ali Alghamdi
Hisham Ali Alghamdi
EE
Thamer Hathal Alotaibi
Thamer Hathal Alotaibi
COE
Abdulaziz Abdulrahman Almoghairi
Abdulaziz Abdulrahman Almoghairi
ICS
Saqer Ali Alshehri
Saqer Ali Alshehri
ICS

Team Coach

DR. Hamzah Luqman
DR. Hamzah Luqman
Associate Professor

Info. & Computer Science Dept.

Interdisciplinary Research Center for Intelligent Secure Systems