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SURVEILX: AI AND IOT-BASED DRONE SURVEILLANCE SYSTEM FOR INDUSTRIAL PIPELINE INSPECTION

AUTHORS:
Sharda Mungale
Mentor
Kanishk Khobragade ,Om Deulkar ,Varun Bansod ,Anurag Likhar
Affiliation
Department of Industrial IoT Priyadarshini College of Engineering, Nagpur, India
DOI: 10.55041/ijsmt.v2i4.222
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

— Pipeline inspection in industrial settings is one of those problems that sounds straightforward until you actually try to solve it. You have kilometres of pipe running through refineries and chemical plants, most of it in places where sending a person is either dangerous or just not practical. Our project, SurveilX, came out of thinking seriously about this gap. We built a drone-based system that combines IoT sensors, a small onboard computer, and machine learning to inspect pipelines and flag faults without putting anyone at risk. The drone carries five sensors — for gas, vibration, humidity, distance, and GPS location — plus a camera. All the processing happens onboard using a Raspberry Pi 4 running TensorFlow Lite models and OpenCV, so the system does not depend on a cloud connection to make decisions. An ESP32 handles the lower-level sensor readings and sends the data up to the Pi. When the system spots something — corrosion, a crack, a gas leak — it sends an alert with GPS coordinates to a live dashboard. In our tests, we hit 91% classification accuracy and an average alert time of about 3.2 seconds. We think this kind of approach can genuinely change how industrial inspection is done

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 11 2026
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Mungale, S. (2026). SurveilX: AI and IoT-Based Drone Surveillance System for Industrial Pipeline Inspection. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.222

Mungale, Sharda. "SurveilX: AI and IoT-Based Drone Surveillance System for Industrial Pipeline Inspection." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.222.

Mungale, Sharda. "SurveilX: AI and IoT-Based Drone Surveillance System for Industrial Pipeline Inspection." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.222.

References
1.Kumar and R. Sharma, "Industrial Fault Diagnosis Using Vibration and Temperature Sensors in IoT Framework," IEEE Sensors Journal, vol. 22, no. 4, pp. 3456-3465, Feb. 2022.

2.Zhang, H. Wang, and Y. Liu, "UAV-based Pipeline Monitoring System Using IoT and Deep Learning," IEEE Access, vol. 9, pp. 112034-112045, 2021.

3.Ali, F. Khan, and S. Ahmed, "Real-Time Leak Detection in Pipelines using Machine Learning and IoT," IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9552-9561, Oct. 2020.

4.RandomNerdTutorials, "ESP32 with DHT22 Sensor," [Online]. Available: https://randomnerdtutorials.com/esp32-dht11-dht22-temperature-humidity-sensor-arduino-ide/

5.SunFounder, "ESP32 MQ-2 Gas Sensor Tutorial," [Online]. Available: https://docs.sunfounder.com/projects/umsk/en/latest/03_esp32/esp32_lesson04_mq2.html

6.SunFounder, "ESP32 SW-420 Vibration Sensor Tutorial," [Online]. Available: https://docs.sunfounder.com/projects/umsk/en/latest/03_esp32/esp32_lesson24_vibration_sensor.html

7.RandomNerdTutorials, "ESP32 HC-SR04 Ultrasonic Sensor," [Online]. Available: https://randomnerdtutorials.com/esp32-hc-sr04-ultrasonic-arduino/

8.RandomNerdTutorials, "ESP32 NEO-6M GPS Module," [Online]. Available: https://randomnerdtutorials.com/esp32-neo-6m-gps-module-arduino/

9.Howard et al., "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications," arXiv preprint arXiv:1704.04861, 2017.

10.Eclipse Foundation, "Eclipse Mosquitto: An Open Source MQTT Message Broker," [Online]. Available: https://mosquitto.org/
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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