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Paper ID:IJSREM63813

“Intelligent ADAS for Restricted Zone Warning”

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63813

Volume:

10 |

5 |

May 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Mr. Chaitanya Pandit

Mr. Chaitanya Pandit

Electronics and Telecommunication

Kolhapur institute of technology's college of engineering

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Mr. Prathamesh Patil

Mr. Prathamesh Patil

Electronics and Telecommunication

Kolhapur institute of technology's college of engineering

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MSP

Mr. Shantanu Patil

Electronics and Telecommunication

Kolhapur institute of technology's college of engineering

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MYS

Mr. Yuvraj Salunkhe

Electronics and Telecommunication

Kolhapur institute of technology's college of engineering

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Mentors

DPB

Dr. Pravin Bidkar

Electronics and Telecommunication

Kolhapur institute of technology's college of engineering

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Abstract

This paper presents the design and implementation of an intelligent ESP32-based real-time GPS monitoring, geofencing, and Human Machine Interface (HMI) system integrated with Internet of Things (IoT) technologies for location tracking and smart zone-based monitoring applications. The proposed system utilizes an ESP32 dual-core microcontroller as the central processing unit, interfaced with a GPS module for acquiring live latitude, longitude, and speed information. A geofencing mechanism based on the Haversine distance algorithm is implemented to detect whether the target device is located inside or outside predefined geographical zones stored in SPIFFS memory. The system employs a hybrid Wi-Fi Access Point (AP) and Station (STA) architecture to provide both local connectivity and internet-based communication simultaneously. A built-in web server generates a real-time interactive HMI dashboard using HTML, CSS, JavaScript, AJAX, and JSON, enabling users to visualize GPS parameters, zone status, system logs, and live map information through smartphones or web browsers. Remote hardware control functions, including relay and voice activation, are implemented through HTTP-based communication. To improve multitasking performance and responsiveness, Free RTOS task scheduling and the ESP32 dual-core architecture are utilized for background Wi-Fi management and real-time system operation. The system further integrates MQTT protocol communication with Adafruit IO cloud services for remote GPS data publishing and IoT monitoring. Experimental implementation demonstrates reliable real-time operation, low-cost deployment, cloud integration, dynamic web interaction, and efficient geofence-based alert functionality. The proposed solution provides a scalable platform suitable for smart transportation, vehicle monitoring, safety systems, and intelligent location-aware applications

KEYWORDS

Keywords: ESP32 GPS IoT Human Machine Interface Geofencing MQTT Access Point Embedded Web Server Edge Computing FreeRTOS Real-Time Monitoring.

Cite This Article

Mr. Chaitanya Pandit, Mr. Prathamesh Patil, Mr. Shantanu Patil, Mr. Yuvraj Salunkhe, Dr. Pravin Bidkar, "“Intelligent ADAS for Restricted Zone Warning”," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-10, May 2026.

Full Article/Conclusion

The proposed ESP32-based Real-Time GPS Human Machine Interface (HMI) successfully integrates GPS tracking, geofencing, Hybrid AP–STA networking, cloud communication, and embedded web technologies into a unified platform. The system enables real-time monitoring of location, speed, and restricted zones while providing both local and internet-based accessibility. The use of geofencing and intelligent alert mechanisms improves safety by notifying users when entering predefined sensitive areas. The implementation of FreeRTOS-based multitasking, dynamic HMI, and MQTT cloud telemetry enhances overall system responsiveness and reliability. The developed architecture offers a low-cost, scalable, and efficient solution suitable for vehicle safety, smart transportation, fleet management, and advanced IoT monitoring applications. Future enhancements can further improve system intelligence and expand its real-world usability.

References

[1] Espressif Systems, ESP32 Series Datasheet, Espressif Systems, 2023. [2] M. Banzi and M. Shiloh, Getting Started with Arduino, 4th ed., Maker Media, 2022. [3] TinyGPS++ Library Documentation, GPS Parsing Library for Embedded Applications. [4] A. Banks and R. Gupta, “MQTT Version 3.1.1,” OASIS Standard, 2014. [5] Adafruit IO Documentation, MQTT and Cloud Telemetry Services. [6] M. D. Singh and K. B. Khanchandani, Power Electronics, McGraw Hill Education. [7] Simon Monk, Programming ESP32: Explore IoT with ESP32, McGraw-Hill Education, 2020. [8] HTML, CSS, JavaScript, and AJAX Documentation for Web-based HMI Development. [9] FreeRTOS Documentation, Real-Time Operating System for Embedded Applications. [10] Research papers on GPS Tracking and Geofencing-based IoT Systems.

Editorial & Review Transparency

Publication Date

5/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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