HARDWARE-SOFTWARE COMPLEX FOR DETECTION AND MODELING OF DEFECTS IN TECHNICAL CONSTRUCTIONS
DOI:
https://doi.org/10.34132/mspc2025.01.06.20Keywords:
digital signal processing, mathematical 2D modeling, mobile hardware platforms, Internet of Things, inspection of technical constructions.Abstract
The theses present an analysis of methods for inspecting technical constructions and a developed solution for a hardware-software complex for collecting data for modeling in a mathematical software environment in order to detect defects in them.
References
Perez H., Tah J. H. M., Mosavi A. Deep learning for detecting building defects using convolutional neural networks. Sensors. 2019. Vol. 19, no. 16. P. 3556. DOI: 10.3390/s19163556 (Last accessed: 05.05.2025).
Phantom 4 RTK Specifications. Drone Ops. URL: https://droneops.co.za/dji-phantom-4-rtk-specs/ (Last accessed: 07.05.2025).
Arduino ultrasonic sensor overview and tutorials. SeeedStudio. URL: https://www.seeedstudio.com/blog/2019/11/04/hc-sr04-features-arduino-raspberrypi-guide/ (Last accessed: 06.05.2025).
Sudarmanto A., Khalif M., Huda A. Detection of building slope and land subsidence using ultrasonic HC-SR04 sensors based Arduino Uno R3 and Blynk. AIP Conference Proceedings. 2023. Vol. 2540, No. 100004. DOI: 10.1063/5.0125207.
Kravchenko P., Zhuravska I., Obukhova K. Dataset of building parameters collected by UAV with wireless data transfer from IoT ultrasonic sensors and a single-board computer for 2D/3D modeling : Dataset. Mendeley Data. Publ. Apr. 29, 2025. V. 1.1. DOI: 10.17632/6zj7tj6xtn.1.


