IOT-BASED SOLUTION FOR DETECTION DEFECTS IN INFRASTRUCTURE OBJECTS USING RASPBERRY PI

Roman Mysiuk, V. Yuzevych

Abstract


Monitoring the current condition of roads, materials and communication networks can often be difficult in the accessibility of the damaged place and difficult to visually assess the criticality of the condition. The current state of such infrastructure facilities makes it possible to assess data collected from sensors, and intermediate analysis is automated in microcomputers or microprocessors. For a visual assessment of the condition, a video with overlay filters was used to highlight areas of damage. The first possible type of object defect is corrosion, which is detected by applying a color filter, the second is cracks with key points filled with an edge filter. The transfer of the collected number of detected pixels of the filtered frame from the Raspberry Pi is performed using MQTT protocols in the used the Internet of Things system. The AWS IoT rule constantly reads logged messages from the subscription to AWS IoT to push the necessary data into the Elasticsearch database for further analysis.

Keywords: Internet of Thing, cloud technologies, defects, Raspberry Pi, corrosion, crack.


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References


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DOI: http://dx.doi.org/10.30970/eli.21.5

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