Abstract
Delay in the arrival of emergency team after a road accident is one of the main reasons for the increase in the number of deaths in many counties across the globe. Saudi Arabia is not exception. This was the key motivation to undertake this project with an aim to contribute an IoT product that can reduce the number of deaths resulting from the problem of delaying the arrival of emergency team or ambulance. In this project we have designed a seat belt with sensor that senses the heart beat rate of the driver and send a notification to the ambulance about the driver's location if he had an accident. To determine whether accident has occurred, the raw data from heart beat sensor is collected along with the data from vibration sensor of the car. Based on the value of these two collected data, UNO microcontroller is used to process and determine whether it is an accident. If accident the controller utilizes the GPS in the car to get the current location and sends notification to the pre-stored emergency contact numbers. The system will use GSM technology to send an alert containing the location of the accident. Also, we have added a fingerprint to confirm the identity of the passenger so that the sensor does not make mistakes when monitoring the heart rate if the driver changes. Here, we use Arduino platform to implement the hardware connections and for programming Arduino IDE is used. Thus, the end-product of our project is expected to reduce the percentage of deaths that may occur due to delaying ambulance.
| Original language | English |
|---|---|
| Title of host publication | 2021 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 109-114 |
| Number of pages | 6 |
| ISBN (Electronic) | 9780738131771 |
| DOIs | |
| State | Published - 6 Apr 2021 |
| Externally published | Yes |
| Event | 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021 - Riyadh, Saudi Arabia Duration: 6 Apr 2021 → 7 Apr 2021 |
Publication series
| Name | 2021 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021 |
|---|
Conference
| Conference | 1st International Conference on Artificial Intelligence and Data Analytics, CAIDA 2021 |
|---|---|
| Country/Territory | Saudi Arabia |
| City | Riyadh |
| Period | 6/04/21 → 7/04/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Keywords
- Car Accident Detection
- Emergency Notification services
- IoT
- Smart Car seat belt
- Smart city
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