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This paper proposes an Artificial Neural Network (ANN) to accurately predict the real angles obtained by a Triangulation Vision System. The performance of the ANN is compared with the K-Nearest Neighbors algorithm from previous publications. For the experimentation it was necessary to create a database to train and prove both methods in different coordinates on a determinate area through the dynamic triangulation method. Afterwards, the root mean square error is calculated to obtain the accuracy of each algorithm. Finally, several laser scanning measurements were taken at different distances to analyze the measurement dispersion of both algorithms. This paper proposes an Artificial Neural Network (ANN) to accurately predict the real angles obtained by a Triangulation Vision System. The performance of the ANN is compared with the K-Nearest Neighbors algorithm from previous publications. For the experimentation it was necessary to create a database to train and prove both methods in different coordinates on a determinate area through the dynamic triangulation method. Afterwards, the root mean square error is calculated to obtain the accuracy of each algorithm. Finally, several laser scanning measurements were taken at different distances to analyze the measurement dispersion of both algorithms.

Laser scanning is widely used on 3D coordinates measuring systems, this paper focuses on some of the principal sources of uncertainties that exist on the implementation of a Laser Scanner based on dynamic triangulation and mainly on its passive element. By analyzing the processed signal on different environmental conditions and the issues by the instability of driving of a brushed DC motor, it is proposed the closed-loop control scheme to reduce these performance issues and further experimentation to demonstrate the results obtained with the proposed method.

A novel principle of dynamic triangulation was developed at the institute of engineering UABC. This method of coordinate measurement uses stepping motors for laser positioning and an open loop controlled DC motor for signal detection. The present paper describes an approach for use of servomotors in cascade control loop, optimized with the amplitude optimum in the frequency domain. These approach results in a short rising time of the step response without overshoot. Simulations of the complete system approves the theoretically values.