| Autor: |
Kalakoti, Gideon, Gurusamy, Muralimohan |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2788 Issue 1, p1-12, 12p |
| Abstrakt: |
The demand for mobile application-based taxi services have grown insignificantly in the last decade. But the safety of commuters is still not fool-proof and various incidents of misconduct gets reported often even with all available safety measures. People tend to prefer online booking apps like OLA, UBER, etc. for their commuting needs and there have been reports of drivers misbehaving with the passengers mostly women. Though the companies have provided an inbuilt emergency distress button in the application for the passengers to alert the concerned people in case of any emergency security related issues. But the commuters have felt that the response from the safety team is slow in an emergency where their safety comes under threat. In order to a fool-proof security options for the commuters we are proposing an automated distress management that recognizes the distress calls of the passengers and take necessary actions such as switching off the fuel supply to the car and simultaneously activate the alarm and send distress calls to the selected numbers of either police force or security agencies. The proposed system will be a standalone control device which can be retrofitted irrespective of any car brand since it would not interfere with the respective car's software and engine control unit. The system is foolproof since there will be a video surveillance where the activities of the passenger and the driver are live streamed and that can be used in case of any false accusation. The proposed system will communicate via IoT with the help of the wake word detection. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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