Snaps - SmartDrive: Drowsiness & Accident Detection

Author(s)	Mr. Shivam Kumar Mishra, Mr. Priyosmit Polley, Dr. Rakhi Bhattacharjee
Country	India
Abstract	India faces a high rate of road accidents, especially involving two-wheelers in isolated areas. To improve emergency response, we present SNAPS (SmartDrive)—an AI-based embedded system for real-time accident and drowsiness detection. For two-wheelers, it uses ESP32, MPU6050, and sensors to detect crashes and send GSM alerts with location details. For four-wheelers, it adds a Python-based AI module using OpenCV and MediaPipe to monitor drowsiness and trigger alerts. SNAPS supports serial, Wi-Fi, and Bluetooth communication, with optional data logging. It is a scalable, cost-effective solution to enhance safety and reduce fatalities on Indian roads.
Keywords	Accident Detection, Drowsiness Detection, AI-Embedded Safety System, ESP32, GSM Emergency Alerts
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-11

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