The Platform for non-metallic pipes defects recognition. Design and Implementation

TL;DR

This paper presents a prototype platform combining hardware and software to assist field operators in real-time detection and recognition of surface defects in non-metallic pipes using video analysis and defect modeling.

Contribution

It introduces a novel integrated platform with real-time defect detection, offline analysis, and server-based post-processing for non-metallic pipe inspection.

Findings

Effective defect recognition models demonstrated

Platform supports offline and online defect analysis

Examples show successful defect detection results

Abstract

This paper describes a prototype software and hardware platform to provide support to field operators during the inspection of surface defects of non-metallic pipes. Inspection is carried out by video filming defects created on the same surface in real-time using a "smart" helmet device and other mobile devices. The work focuses on the detection and recognition of the defects which appears as colored iridescence of reflected light caused by the diffraction effect arising from the presence of internal stresses in the inspected material. The platform allows you to carry out preliminary analysis directly on the device in offline mode, and, if a connection to the network is established, the received data is transmitted to the server for post-processing to extract information about possible defects that were not detected at the previous stage. The paper presents a description of the stages of design, formal description, and implementation details of the platform. It also provides descriptions of the models used to recognize defects and examples of the result of the work.