Drone assisted detection system (deADS) / Muhammad Nur Haziq Abdul Shukor, Mohammad Aidil Shah Sajat and 'Abdurrouuf Anuar

Abdul Shukor, Muhammad Nur Haziq and Sajat, Mohammad Aidil Shah and Anuar, 'Abdurrouuf (2019) Drone assisted detection system (deADS) / Muhammad Nur Haziq Abdul Shukor, Mohammad Aidil Shah Sajat and 'Abdurrouuf Anuar. [Entrepreneurship Project] (Unpublished)

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Abstract

A search and rescue drone are an unmanned aircraft used by emergency services, such as police officers, firefighters or volunteer rescue teams, ideal for searching over vast areas for missing persons and crime victims in need of rescue and in any environment. Unmanned aerial vehicles (UAVs) can provide real-time visual information and data in the aftermath of an earthquake or hurricane. They can also become an eye in the sky to locate a lost person in the mountain for example. This report is about the system that can help to automatically detect the human body in lying position. The benefit of this project is we can use drone for search and rescue operation (SAR) and disaster victim identification (DVI). This is because this drone can detect human body in lying position exact location in the disaster area so that the rescuer team can easily find and locate the missing victim. Most of the disaster area is very dangerous for human to enter to give the first quick rescue. The search and rescue team also need to prepare on the suitable attire to wear before enter the disaster area. This drone is very helpful because it provides mobility, easy to setup, real-time visual information and location and suitable for any type of disaster. The existing product in market does not implement artificial intelligence (AI) for the object detection. They just monitor and observe the screen themselves in order to get information about survivor from the disaster. A market survey was conducted and the survey has shown that a majority of the respondent were agree that the existing method for SAR operation consumes a lot of time start from the set-up of the operation until the rescue operation. The survey also collected data of respondent that really hope this system was going to use for the SAR operation. Our target markets are Malaysian Fire Fighter, Malaysian Civil Defense and university researchers. We are now competing with SnakeBot and BEAR (Battlefield Extraction-Assist Robot), as they also provide the services for search and rescue operation. We estimated our profit per month is RM 48,500 and annually is RM 582,000. However, this system is not fully ready yet to be implemented for the SAR operation. There is still a lot room for improvement needed to be done.

Metadata

Item Type: Entrepreneurship Project
Creators:
Creators
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Abdul Shukor, Muhammad Nur Haziq
2016331471
Sajat, Mohammad Aidil Shah
2016595801
Anuar, 'Abdurrouuf
2016338385
Subjects: H Social Sciences > HD Industries. Land use. Labor > Industry > Small and medium-sized business. History
H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management > Planning. Business planning. Strategic planning
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: ENT600 Technology Entrepreneurship
Item ID: 33939
Uncontrolled Keywords: drone, sar, system
URI: https://ir.uitm.edu.my/id/eprint/33939

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