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Software "Atom" works within MSWindowsXP environment/7/8/10 and provides the analyst with a wide range of possibilities for conducting atomic emission spectral analysis, performs all the necessary processing of atomic emission spectra and calculation of concentrations, and also allows routine and non-standard analyses to be carried out with maximum efficiency.

The use of the Chameleon complex will allow during a one-time installation of the object: • to carry out visual and measuring control of the welded joint to determine the required number of exposures at the specified values of the distance "radiation source-object of control", the size of the focal spot, the control class according to the standard GOST ISO 17636-2-2017 to measure intensity (gray level)/optical density at any point of the image to display a histogram (distribution) of image intensities to display a histogram of the intensity/optical densities of an arbitrarily selected segment or area in the image to use digital filters to restore some of the useful information in the digital image calibrate the "electronic ruler" according to the known dimensions of objects in the image (for example, the sensitivity standard) to measure after calibration the linear dimensions of defects, the distance between defects, the distance between any points in the image after calibration, to measure the linear dimensions of defects, the distance between defects, the distance between any points in the image calculate the area of defects measure the signal-to-noise ratio along the rectangle 22 by 50 at the point under the cursor determine the value of the basic spatial resolution SRb from the image of the double wire type standard • to obtain an X-ray image of the welded joint in accordance with GOST ISO 17636-2-2017 • to perform measurements of the irregularities of the welded joint detected by the results of decoding • to generate a conclusion based on the results of the control without an intermediate stage of fixing the results Flat panel detector "Prodis.Mark" technology: CMOS scintillator: CsI operating modes: static, dynamic (without the use of intermediate processes of "fixing" the radiation image) the maximum energy of the radiation source is 300 keV pixel size: 50 microns the size of the active area: 12x15, 15x24 or 24x30 cm Software – DICONDE Engineering solutions and technologies used in the manufacture of the detector allow: to ensure high data reading speed and low noise level; to meet the requirements for the quality of the resulting image according to GOST ISO 17636-2 for thicknesses in the range of 1.5-12 mm; to reduce by an order of magnitude the control time during exposure in real time (analog of the X-ray method) Device for non-contact measurement of geometric parameters of a welded joint It is intended for obtaining a digital model of the profile of a welded joint in real time and subsequent measurement of such parameters as: linear and angular displacement of edges, height and width of reinforcement, smooth transition from the main to the deposited metal, depth of undercuts. The achieved measurement accuracy is 0.1 mm Control welded joint rotator Provides circular movement of the object under control in accordance with the specified modes: the speed of rotation, the number of stops, the pause time required for the exposure.

Cross-platform software for creating models of the structure of materials by searching and recognizing objects using neural network algorithms. The principle of the program: the user marks the objects of interest in the image, creates a training sample and sends the model for training. The models obtained in SIAMS AIM can be used in image analysis techniques, including in the SIAMS 800 program. The client-server architecture of the program provides the possibility of teamwork by configuring access rights and roles for simultaneous work with the project. Remote work in the program of specialists from any geographical point is possible. They will only need a device with a web browser to work. SIAMS AIM software is addressed to a wide range of users and does not require programming skills and special knowledge. The intuitive interface and the recommendations of the developers allow you to master the skill of self-learning a neural network for recognizing objects in microscopic images.