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dc.contributor.author | Muhammad Haroon Rashid, 01-131162-052 | |
dc.contributor.author | Zeeshan Mazhar, 01-131162-034 | |
dc.date.accessioned | 2023-08-31T10:27:53Z | |
dc.date.available | 2023-08-31T10:27:53Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/16133 | |
dc.description | Supervised by Rafia Hassan | en_US |
dc.description.abstract | Many deaths are caused by Traffic accidents globally. The worldwide crisis of road safety can be seen by examining the considerable number of deaths and injuries that are caused by road traffic accidents. There are many situations in which the family members or emergency services are not informed well in time. This results in delayed emergency service response time, which can lead to an individual’s death or cause serious injury. The purpose of this work is to reduce the response time of emergency services in situations like traffic accidents By utilizing onboard sensors of a smartphone to detect vehicular accidents and report it to the nearest emergency res-ponder available and provide real-time location tracking for responders and emergency victims, will radically increase the chances of survival for emergency victims, and also help save emergency services time and resources. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Software Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BSE;P-2358 | |
dc.subject | Software Engineering | en_US |
dc.subject | Resource Requirement | en_US |
dc.subject | Entity- Relational Diagrams (ERD) | en_US |
dc.title | Accident Detection and Smart Emergency Response System | en_US |
dc.type | Project Reports | en_US |