Abstract :

This Research Presents The Design And Implementation Of An Intelligent Vehicle Automation And Safety System Leveraging The Internet Of Things (IoT) And A Suite Of Low-latency Sensors. The Core Of The System Is The ESP32 Microcontroller, Which Integrates Environmental Sensing With Cloud-based Data Logging To Enhance Driver Safety. The Proposed Architecture Utilizes Ultrasonic Sensors And Infrared (IR) Sensors For Multi-directional Obstacle Detection, Providing Both Audible Alerts Via A Buzzer And Visual Feedback On A 16x2 LCD. To Address Environmental Adaptation, The System Incorporates A Light Dependent Resistor (LDR) To Automate Vehicle Lighting Via A Relay-driven 12V LED System. Furthermore, A Vibration Sensor Is Employed To Detect High-impact Mechanical Shocks, Serving As An Automated Accident Detection Mechanism. A Dedicated GPS Module Extracts Real-time Geographical Coordinates (Latitude And Longitude) Using NMEA GPRMC Protocols. The System’s Novelty Lies In Its Dual-layered Communication Strategy: Local Real-time Actuation For Immediate Safety And Remote Data Synchronization Via Wi-Fi Connectivity. Sensor Data And Location Coordinates Are Transmitted To A Centralized PHP-based Web Server, Enabling Remote Monitoring And Emergency Response Coordination. Experimental Results Demonstrate That The System Effectively Reduces Manual Driver Intervention For Lighting And Provides Reliable, Instantaneous Alerts For Proximity-based Hazards. This Research Contributes A Cost-effective, Scalable Solution For Modernizing Vehicle Safety In The Era Of Smart Transportation. Keywords: Internet Of Things; ESP32 Microcontroller; Smart Vehicle Automation; Collision Avoidance System; Real-time Remote Monitoring.

Published:

01-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

27-36

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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