期刊名称:International Journal of Advances in Engineering and Management
电子版ISSN:2395-5252
出版年度:2021
卷号:3
期号:3
页码:21-24
DOI:10.35629/5252-0302792797
语种:English
出版社:IJAEM JOURNAL
摘要:The technological advancement of drones benefited the industrial fields and positively transformed operations by providing real-time data. This allows for the identification and mitigation of mining hazards as they emerge, rapid collection of data in risky locations and the ability to share accurate maps and models with shareholders. In order to better the proposed frameworks integrate digital imaging object behind the wall using drone, image processing and data acquisition procedures for crack detection and assessment of surface degradation. A novel approach is proposed combining hat transform and Hue, Saturation & Value (HSV) three holding technique for crack detection. A Demonstration multi-rotor Unmanned Aerial Vehicles (UAV) model is developed to carry out full field inspection of civil structures and real time testing is performed in our large university campus. The system consists of several components for necessary sensor input, a radio Transmitter, Windows user interface and an Arduino microcontroller. All altering of signals, estimation of system states, calculation of control inputs and communication handling is done on the microcontroller, while the Windows application allows the user to command various actions. Furthermore, the current applications and future potential of drones in the industrial fields are discussed.
关键词:UAV(unmanned aerial vehicle);Thermal sensor;Arduino-uno;Image processing algorithm;Computer vision and machine learning