Scientific and technological progress of recent years in the production of the light emitting diodes (LEDs) has led to the expansion of areas of their application from the simplest systems to high precision lighting devices used in various fields of human activity. However, for all technology development at the present time it is very difficult to choose one or another brand of LEDs for realization of concrete devices designed for the implementation of high precision spatial and color measurements of various objects. In the world there are many measurement instruments for determining the various parameters of LEDs, but none of them are not capable to estimate comprehensively the LEDs spatial, spectral, and color parameters with the necessary accuracy and speed. This problem can be solved by using an automated hardware-software system for LED's verification and certification, developed by specialists of the OEDS chair of National Research University ITMO in Russia. The paper presents the theoretical aspects of the analysis of LED's spatial, spectral and color parameters by using mentioned of automated hardware-software system. The article also presents the results of spatial, spectral, and color parameters measurements of some LEDs brands.

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1. The objective of this study was to develop a machine vision method for analysing exterior parameters of chicken eggs to automate the stage of primary sorting. 2. The developed algorithm based on predetermined thresholds calculated egg quality indicators, including geometric dimensions, shape index and the mottling grade. The algorithm was implemented with an experimental setup that combined the image-based and the candling methods. A total of 400 egg samples were analysed. 3. Comparison of results of the algorithm with those obtained using the traditional manual method showed that mean value of radii values difference was 0.095 ± 0.058 mm for the sharp and 0.080 ± 0.047 mm for the blunt end of the egg, with standard deviations of 0.58 mm and 0.49 mm, respectively. 4. The correlation coefficient between the shape index values determined by the two methods was 0.93; the standard deviation of absolute differences between corresponding values was 1.05%. 5. The results of mottling grade estimation were compared using F-measure and confusion matrix. 6. The results allow the possibility to perform the assessment of egg exterior quality factors in an automatic mode, independent of the expertise of a grader.