Model Sensor Device for 3D Object Reconstruction
DOI:
https://doi.org/10.11113/jt.v74.4674Keywords:
Infrared, 3D image, accuracyAbstract
In this paper, the use of infrared sensor installed in the model sensor device is presented. Infrared sensor measured distance of the model surface and the data are used to reconstruct the 3D image. The implementation of five sensors helps in reducing time for data collection, and blind spots can be minimized. The scanning device consists of IR sensor array is placed in a black box with the object in the middle. The scanning process required the object to turn 360° in clockwise in x-y plane, and the resolution for z-axis is 2 mm in order to obtain data for the image reconstruction. Four different lower limb prosthetic models with different shapes were used as the object in the scanning experiments. The device scan object diameter every 2 mm in thickness, 100 mm in height, and total time require to collect data for each layer is 60 seconds. The reconstructed object accuracy is above 90 % based on the comparison between a solid and printed model dimension. The accuracy for each model, and all results and graphs are shown in the paper.
References
S. Nurmaini. 2011. Intelligent Low Cost Mobile Robot and Environmental Classification. International Journal of Computer Applications. 35(12): 1–7.
I. Matijevics. 2007. Infrared Sensors Microcontroller Interface System for Mobile Robots. 5th International Symposium on Intelligent Systems and Informatics. 177–181.
G. Akihiro and Y. Omura. 2008. Surface-Trace Feasibility for IR-Based Position-Sensing Devices. The Second International Conference on Sensor Technologies and Applications. 372–377.
U. Dugan, R. Dongseok and K. Myungjoon. 2011. Multiple Intensity Differentiation for 3-D Surface Reconstruction With Mono-Vision Infrared Proximity Array Sensor. IEEE Sensors Journal. 11(12): 3352–3358.
A. Tar and G. Cserey. 2011. Object Outline and Surface-Trace Detection Using Infrared Proximity Array. IEEE Sensors Journal. 11(10): 2486–2493.
G. Benet, F. Blanes, J. E. Simo and P. Perez. 2002. Using Infrared Sensors for Distance Measurement in Mobile Robots. Robotics and Autonomous Systems,1006 (2002). 1–12.
Y. Qing, J. Hou and L. Wang. 2011. Measuring System for Mobile Robot Based on Multiple Sensors. 2011 International Conference on Electronic & Mechanic Engineering and Information Technology. 980–983.
F. Changhong, W. Shunxiang, L. Zhifeng, F. Xu and M. Fanling. 2009. Research and Design of The Differential Autonomous Mobile Robot Based on Multi-Sensor Information Fusion Technology, 2009 International Conference on Information Engineering and Computer Science. 1–4.
H. Park, S. Baek and S. Lee. 2005. IR Sensor Array for a Mobile Robot. Proceeding of IEEE/ASME International Conference Advance Technology Mechatronics. 928–933.
SHARP GP2D120XJ00F Analog Output Type Distance Measuring Sensor. Datasheet.
Cytron Technologies SD02B 2A Stepper Motor Driver. Datasheet.
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