| Student Name | School | Degree | Year | |
|---|---|---|---|---|
| AC Waleed Arshad | CAE | Undergraduate | Fourth | [email protected] |
| AC Waleed Arshad | CAE | Undergraduate | Fourth | [email protected] |
| Inter School Idea ? | No |
| Do you need expertises from another area: | No |
| If Yes please provide details of expertises you need: |
| Idea Name: | Development of Machine learning model for detection and identification of the UV Missile Signature for various Passive MANPADS and SAMS |
| Slogan: | detection & identification of UV Missile Signature |
| Supervisor Name: | Dr Nayyer |
| Supervisor Designation: | Professor |
| Supervisor School: | CAE |
| Supervisor Department: | CAE |
| Contact number: | 0320-8844062 |
| Email ID: | [email protected] |
| Abstract: | |
| The objective of this project is to identify a missile and de-clutter it from the background with the help of UV or IR signature. The student shall be able to train a machine learning model that is able to detect the missile plume and declutter it from the background and also apply tracking techniques to distinguish between approaching missile and background clutter. | |
| What is the unmet need in society that your idea will fulfill ? | |
| Details Not Available | |
| Who needs it ? How many would benefit ? | |
| Details Not Available | |
| How will the solution works | |
| Details Not Available | |
| Who are your competitors ? How is your solution different | |
| Details Not Available | |
| Status: | new |
| Entry Date & Time: | 2023-02-08 (1856) |