| Idea Name: |
Object Detection |
| Slogan: |
FOD detection over live streaming |
| Supervisor Name: |
Imran Hafeez Abbasi |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
CAE |
| Supervisor Department: |
Avionics |
| Contact number: |
03323296123 |
| Email ID: |
[email protected] |
| Abstract: |
| FODs are the reason for many aircraft accidents every year,costing a lot of money and many precious lives.This project aspires to eliminate chances of FOD related accidents by detecting it beforehand. |
| What is the unmet need in society that your idea will fulfill ? |
| Particularly in Pakistani setups (civil and military) , there is no such system in place which could detect such FOD which could prove hazardous for the aircraft and alert the user/control centre. My project aspires to fill in this gap between need and availability of equipment. |
| Who needs it ? How many would benefit ? |
| All the organisations which use aircrafts can use this equipment to their benefit. |
| How will the solution works |
| The object Detection algorithm detects the FOD present on runway through a camera, a notification indicating the presence of FOD as well as the class it belongs to is generated and sent to the control room for further action. |
| Who are your competitors ? How is your solution different |
| The competitors are FODetect and Xsights FOD detection system. The difference is cost, the aforementioned systems are very costly. |
| Status: |
new |
| Entry Date & Time: |
2021-12-14 (1628) |
