| Idea Name: |
AIDAR |
| Slogan: |
Accelerating Disaster Management |
| Supervisor Name: |
Rizwan Ahmad |
| Supervisor Designation: |
Associate Professor/HoD Research |
| Supervisor School: |
SEECS |
| Supervisor Department: |
Department of Electrical Engineering |
| Contact number: |
0320 5072360 |
| Email ID: |
[email protected] |
| Abstract: |
| Our proposed framework provides appropriate and rapid assistance to disaster victims by timely and efficiently identification and assessment of disaster-struck area. UAV integrated with AI embedded system provides useful insights to plan and execute search and rescue missions during disaster response. Identify post-disaster hazards, localize injured people, and provide a communication channel. |
| What is the unmet need in society that your idea will fulfill ? |
| Lack of appropriate and rapid assistance to disaster victims due to ineffective identification and assessment of disaster-struck area. Tardy identification of disaster, time elapsed for the responders to locate victims and help them, communication breakdown and disconnection due to disaster. |
| Who needs it ? How many would benefit ? |
| Our novel solution will help National Disaster Management Authority, federal ministries, and provincial governments in planning and executing rescue missions for disaster victims. This knowledge-building and capacity to meet climate change benefit millions of people. |
| How will the solution works |
| AI-powered drones are deployed in a disaster scenario. The camera integrated with the drone captures images which are processed on board by an indigenous AI algorithm to classify disasters, localize victims using RSSI and convey useful insights to the ground control station to generate alerts to plan the rescue mission. Ad-hoc network provide the facility to communicate with victims where no fixed infrastructure is available. Relay drones are used to increase coverage in remote areas. |
| Who are your competitors ? How is your solution different |
| We are the first movers to bring a solution with these features to the market. Our solution focuses on disaster detection, victim localization, and providing a communication channel. We increase latency, throughput, and resource utilization with an indigenous AI algorithm implemented on the edge. |
| Status: |
new |
| Entry Date & Time: |
2022-12-13 (1929) |
