A Comprehensive Emergency Vehicle Detection System Using YOLO, SAM and SWIN Transformer for Urban Traffic Optimization
Date of Submission
17th Feb 2026
General Information:
|
| Year Of Paper Submission : 2025-26 |
| 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:
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| 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 |
| 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 |