Research Paper Report

A Comprehensive Emergency Vehicle Detection System Using YOLO, SAM and SWIN Transformer for Urban Traffic Optimization

Date of Submission
10th Feb 2026

General Information:

Year Of Paper Submission : 2024-25
Type of Applicant : Student
Selected Course : UG
Department of Applicant : COMPS
Class of Applicant : B.E.

Applicants Details:

UCID of Applicant : 2022300126
Applicant Name : Omkar Ajay Surve
Applicant Email : omkar.surve22@spit.ac.in
Applicant Contact Number : 9324429526
UCID of Applicant No. 2 : 2022300138
Applicant No. 2 Name : Yash Jignesh Desai
Applicant No. 2 Email : yash.desai22@spit.ac.in
Applicant No. 2 Contact Number : 8850788423

Guide Details:

Department of Guide No. 1 : Computer Engineering
Name of First Guide : Dr. Sudhir Namdeorao Dhage

Paper Details:

Title of Paper : A Comprehensive Emergency Vehicle Detection System Using YOLO, SAM and SWIN Transformer for Urban Traffic Optimization
Type of Paper : international
Type of Publication : international
Name of the Conference/journal/publisher : 10th International Conference on Computer Vision and Image Processing (CVIP 2025)
Date Of Conference / Journal / Book : 2025-12-12
Conference_Type : spriger
Name of the Hosting Institute of the Conference : Indian Institute of Technology, Ropar
Address of Host Institute : Har Gobind Khorana Block, IIT Ropar Main Campus, Rupnagar - 140001, Punjab, India