It is observed that the majority of the accidents occur due to the driver's negligence of traffic and safety rules. Therefore, a system monitoring the speed and other desired automobile parameters can be installed in the automobile to warn the driver. This paper presents a wireless sensor network-based controlling and monitoring of automobile parameters, as a single unit. The accident-avoidance measures used currently are very less and also there's no correct accident detection mechanism. This study proposes a good Vehicle observance System for early detection of accidents and additionally to stop thefts. VMS uses machine learning based mostly image classification model. once the accidents happen the SVMS detects it directly and finds the severity of the accident. Then the system can directly inform that to the authorities and it is used to collect the details during the accident and it is transmitted to the police station. The sensors are connected with the vehicle to spot all the parameters like steering angle, speed, crash, safety belt wearing or not. All these details are stored in the webserver and during investigation it can be retrieved. It acts like a black box. At the time of crash, all these details are transferred to the insurance agencies to identify the real reason.
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18 November 2022
INTERNATIONAL CONFERENCE ON SMART GRID & ELECTRIC VEHICLE (ICSGEV 2021)
15–16 July 2021
Tamil Nadu, India
Research Article|
November 18 2022
IoT based intelligent automobile monitoring and controlling Available to Purchase
M. Sujatha;
M. Sujatha
a)
1
Department of Electrical and Electronics Engineering, Easwari Engineering College
, Chennai, Tamil Nadu, India
600089a)Corresponding author: [email protected]
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Maheswari Muthusamy;
Maheswari Muthusamy
b)
2
Technical and Safety Training Officer, Vestas Wind Technology
, Chennai, Tamil Nadu, India
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P. Jakesh;
P. Jakesh
3
Hindustan Institute of Technology and Science
, Padur, Chennai, TamilNadu, India
603 103
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B. V. Ramana Reddy;
B. V. Ramana Reddy
d)
3
Hindustan Institute of Technology and Science
, Padur, Chennai, TamilNadu, India
603 103
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B. Venkata Rathnam
B. Venkata Rathnam
e)
3
Hindustan Institute of Technology and Science
, Padur, Chennai, TamilNadu, India
603 103
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M. Sujatha
1,a)
Maheswari Muthusamy
2,b)
P. Jakesh
3
B. V. Ramana Reddy
3,d)
B. Venkata Rathnam
3,e)
1
Department of Electrical and Electronics Engineering, Easwari Engineering College
, Chennai, Tamil Nadu, India
600089
2
Technical and Safety Training Officer, Vestas Wind Technology
, Chennai, Tamil Nadu, India
3
Hindustan Institute of Technology and Science
, Padur, Chennai, TamilNadu, India
603 103
a)Corresponding author: [email protected]
AIP Conf. Proc. 2452, 060003 (2022)
Citation
M. Sujatha, Maheswari Muthusamy, P. Jakesh, B. V. Ramana Reddy, B. Venkata Rathnam; IoT based intelligent automobile monitoring and controlling. AIP Conf. Proc. 18 November 2022; 2452 (1): 060003. https://doi.org/10.1063/5.0118175
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