Sulema O. Algorithms and software for logistics object automatic identification processes based on barcodes with three gradations of colour

This dissertation is devoted to the development of algorithms and software for object automatic identification processes based on barcodes with three gradations of colour in the area of logistics. The purpose of the dissertation is to increase the efficiency of logistic systems by automating production processes using high-dense data barcoding of logistics objects. In the dissertation, algorithmic and software solutions for the automatic identification of objects in the field of logistics are analysed. The algorithmic methods and software for processes of data formation on the basis of barcodes with three gradations of colour are developed, in particular, the problem of providing a compact representation of data in the form of barcode images is formulated, the algorithmic methods and software for data consolidation for the formation of barcodes and the algorithmic methods and software for the formation of two-layer barcode symbols are developed and investigated. The algorithmic methods and software of noise immunity of barcodes with three colour gradations are developed, in particular, the problem of ensuring noise immunity of barcode images is formulated, the algorithmic methods and software of noise immunity of barcodes with three gradations of colour are developed and investigated. A scale of requirement prioritization for software systems development is proposed, the basic architecture of a software system for objects automatic identification based on barcodes with three gradations of colour as well as a design pattern «Converter» are proposed, and the main stages of software design software for logistics objects automatic identification based on barcodes codes with three gradations of colour are formulated.