View Proposal

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Proposer

Ghassan Husnain

Title

IADEAS: An Intelligent Multi-Sensor Accident Detection and Emergency Alert System for Remote and Low-Network Areas

Goal

The Intelligent Accident Detection and Emergency Alert System (IADEAS) is an IoT-based vehicular safety solution developed for remote, rural, mountainous, and low-network areas where road accidents may remain unreported and emergency response is often delayed.

Description

The system uses a microcontroller to process data from an accelerometer and gyroscope, a gas and smoke sensor, an infrared flame sensor, a temperature and humidity sensor, and GPS module. Multi-condition validation logic identifies a serious accident when a severe impact is detected or when a moderate impact occurs together with smoke or flame, thereby reducing false alarms. After detecting an accident, the system activates a buzzer and provides a five-second cancellation period through a physical button. If the alert is not cancelled, it sends an emergency SMS containing GPS coordinates and a Google Maps link through the SIM module, uploads event information to Firebase, and stores a forensic CSV record on an SD card.

Resources

1: Vohra, Vedika, et al. "CrashSense: Smart Accident Detection Using IoT-Enabled Embedded Hardware and Alert System." International Conference on Artificial Intelligence and Cyber Security. Cham: Springer Nature Switzerland, 2025. 2: Sahraei, Mohammad Ali, and Said Ramadhan Mubarak Al Mamari. "A review of Internet of Things approaches for vehicle accident detection and emergency notification." Sustainability 17.14 (2025): 6510.

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

2

Supervisor

Ghassan Husnain

Keywords

networking, ai and iot

Degrees

Bachelor of Science in Computational Sciences and Software Engineering