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Statistical Error Model of Active Triangulation Method for CAI

We develop a statistical error model for reliable computer-aided inspection (CAI) of industrial parts with the use of active triangulation optical scanning system. The work devoted to statistical analysis and accuracy evaluation of algorithms of the method. We start from obtaining an anisotropic error field for triangulation and use it as a base for further algorithms analysis. Then we construct statistically optimal algorithms using the error model of input data. We show the evolution of error through all stages of the processing pipeline. The error model of the method allows us to estimate the achieved accuracy. The use of error modeling for tolerance control makes the results more reliable and allows giving directions how to improve the accuracy of the measurements.