Vehicle Collision Detection and Reporting System - Analysis Report

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Added on  2022/11/26

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AI Summary
This report proposes a vehicle collision detection and reporting system designed to enhance road safety and provide prompt medical assistance after accidents. The system detects collisions, notifies family members, and facilitates quick medical help. The project's scope includes smart accident detection and notification, with stakeholders including managers, employees, and vehicle companies. Benefits include improved public safety and enhanced vehicle products. Deployment involves integration within vehicle systems, with data displayed on LCD monitors. The project's estimated cost is $40,000, covering hardware, software, and human resources. Regular software and firmware updates are essential, with data stored in AWS cloud storage for accident detection and family notifications. The report concludes that this automated system can mitigate accidents and fatalities, ultimately improving road safety. It also includes a bibliography of relevant research papers.
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VEHICLE COLLISION
DETECTION AND
REPORTING
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INTRODUCTION
This proposed system of the vehicle collision
detection and the reporting would provide
the enhanced methods for the detection of
the accidents for allowing the prevention of
the accidents.
It would detect and occurrence of crash and
then notify the family members of that
injured person and it would get option for
the quick medical help in the nearby
hospital.
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SCOPE AND STAKEHOLDERS
The scope of this project is to provide the smart system that could
help in detecting any road accidents that could occur and also notify
the family members of that injured individual for allowing the quick
medical help for that person
The project would be completed within the allocated time and it
would finish using the allocated budget.
The stakeholders of this project are the manager, employees,
investors, suppliers, storage providers, customers, IT department and
the vehicle companies.
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BENEFITS TO ORGANISATION OR
COMMUNITY
The common people would be significantly benefitted from this
system as it would assure the quick medical help to the injured people
and if the victim could be recovered from the unconsciousness then
the medical help would be notified regarding the accident that would
help in decreasing the number of the injuries and the accidents in the
roads or any other mode of transport
The organisation could provide the improved products to the
customers as the vehicles that are bought by the customers would
have the system implemented in the core system.
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DEPLOYMENT METHODS
This project would be deployed in
the vehicle configuration and it
would be added in the core system
of the car.
The data from this system would be
shown in the LCD monitor that have
implemented in the vehicles and it
would allow the gaining of the
required data for prevention of the
accidents.
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COSTS OF THE PROJECT
The total cost of the project would be approximately $40,000 that
includes the hardware costs, software costs and the human resource
costs
The hardware costs includes the cost of the several microchip and the
Arduino based platform for gaining the data and all the hardware cost
could be approximately $15,000.
The cost of the software would be almost $10,000 where the several
software are required for gaining the data from the microchip to the
LCD.
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UPDATING SOFTWARE OR
FIRMWARE
There is the constant requirement of the regular upgrades of the
hardware and the software for the system for allowing the improved
functioning of the system and allow the real time data monitoring
from the system
The microchip that are implemented in the sensors are required to be
constantly monitored for any kind of damage or the delayed detection
and it is required to be replaced as soon as possible
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COST OF RENTING SPACES
There is significant cost of the renting
spaces for the development of the
project and approximately $5000 is
required for hiring the spaces that
would be adequate for the
development of system.
There is significant cost of the renting
spaces for the development of the
project and approximately $5000 is
required for hiring the spaces that
would be adequate for the
development of system.
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DATA STORAGE AND USE OF
INFORMATION
The data from the IoT system would be recorded and stored in the
cloud storage of AWS where the data is managed and the authentic
users are provided the access to the required data.
The information that has been gained from the system could be used
for the detection of the accidents and this would help in the
prevention of the accidents and also this information would be
utilised by the family members of the injured victims to notify the
police officials if the accident was intended to impact severely on the
victim.
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CONCLUSION
automated system could help in mitigation of the various kinds of the
accidents and the fatalities that could harm the individuals.
scope of this project is to provide the smart system that could help in
detecting any road accidents that could occur and also notify the
family members of that injured individual for allowing the quick
medical help for that person.
The common people would be significantly benefitted from this
system as it would assure the quick medical help to the injured people
and if the victim could be recovered from the unconsciousness then
the medical help would be notified regarding the accident
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BIBLIOGRAPHY
Fernandes, B., Alam, M., Gomes, V., Ferreira, J. and Oliveira, A., 2016. Automatic accident detection with
multi-modal alert system implementation for ITS. Vehicular Communications, 3, pp.1-11.
Favarò, F.M., Nader, N., Eurich, S.O., Tripp, M. and Varadaraju, N., 2017. Examining accident reports
involving autonomous vehicles in California. PLoS one, 12(9), p.e0184952.
Brady, J.E. and Li, G., 2014. Trends in alcohol and other drugs detected in fatally injured drivers in the
United States, 1999–2010. American journal of epidemiology, 179(6), pp.692-699.
McClintock, B.T., Onorato, D.P. and Martin, J., 2015. Endangered Florida panther population size
determined from public reports of motor vehicle collision mortalities. Journal of Applied Ecology, 52(4),
pp.893-901.
Huijser, M.P., Fairbank, E., Camel-Means, W., Salish, C. and Tribes, K., 2015. US 93 North post-construction
wildlife-vehicle collision and wildlife crossing monitoring and research on the Flathead Indian Reservation
between Evaro and Polson, Montana annual report 2014. Western Transportation Institute, College of
Engineering, Montana State University, Bozeman, MT.
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