  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.
