Cem A. Gürgan, Sahin Yildirim
Design of Neural Predictor for Performance Analysis of Experimental Automated System in Oral Photography of Dental Treatment
PLC, dental patients, oral photographs, photograpic device, neural networks
Recently, in spite of advanced and high technology, there is still some problems for positioning head and chin of dental patients treatment for getting photographs of teeths. Furthermore, it is very important to get previous head and shoulder positions of dental patients for comparison present head position and chin of dental patients. In this study, a new designed system method is introduced for complex through collection of standardized oral photographs and computerassisted measurement of reproducible data. However, PLC based fully automated a photograpic device for fully automated oral photography and standart protocol for the esthetic of the crown-mucoginvigal complex is also presented. However, the proposed fully automated system is consited of camara equipment with two directions and head supporting linear sliding mechanism with two directions of Z axes and X axes. On the other hand, to test the proposed system a neural network was used to predict real time measured values.
Cite this paper
Cem A. Gürgan, Sahin Yildirim. (2016) Design of Neural Predictor for Performance Analysis of Experimental Automated System in Oral Photography of Dental Treatment. International Journal of Control Systems and Robotics, 1, 169-176