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This research offers a scheme system toward moving object projection in 3-dimensional space that using Stereo Vision Camera. The system benefits in giving an alternative solution in projecting practically without manual identification by conventional measuring device. The result of the projection in the system is in the form of coordinate position information (x, y, z), the length, the width, and the height of the object detected. The output will be displayed in the real-time digital image with 3-dimensional modeling. In the process of the object identification, there is a stage when an image is converted from colored image to binary image. But the conversion uses the threshold method which is considered less efficient when an object moves. As consequence, the new adaptive method in solving the problem is needed. Genetic Algorithm is proposed as the optimization method because it is considered suitable with the emerging problems. In the optimization process, genetic algorithm is in a task of searching process and determining the threshold value as the process of creating binary image. The result shows an increased accuracy in the identification process after the system is optimized by the Genetic Algorithm (GA).
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 Ricardo, O.M.C., & Olivier, A., “Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking,” IEEETransactions on Intelligent Transportation Systems ., vol: 17 , Issue: 2 , Feb. 2016.
 D. Bhargava, Kritika; Goyal, “A Video Surveillance System for Speed Detection of Vehicles and Law Enforcement using Automatic Number Plate Recognition,” vol. 2, no. 10, 2014.
 Muhammad Khaerul, N.M. “Pendeteksian dan PelacakanObjekBergerak pada UAV berbasisMetode SUED”. JNTETI, Vol. 7, No. 1, Februari 2018.
 Muhammad, R.K., Romi, S.W., & Abdul, S., “IntegrasiKromosomBuatanDinamisuntukMemecahkanMasalahKonvergensiPrematur pada AlgoritmaGenetikauntuk Traveling Salesman Problem”.Journal of Intelligent Systems, Vol. 1, No. 2, December 2015.
 Izzati, M., Novian, M.P., Meilita, Deny, R. & Dhomas, H.F., “Metode Stereo Vision Untuk Memperkirakan Jarak Objek Dengan Kamera”. Seminar Nasional Aplikasi Teknologi Informasi 2012 (SNATI 2012). Yogyakarta 15-16 Juni 2012.
 S. J. Prince.“Computer Vision: Models, Learning and Inference”. Cambridge University Press, 2012.
 Adri, M. “Computer Vision : Basic Concept of Computer Vision”. 2009.
 Muhimmah, I., Putra, N.M., Meilita, Rahamalianto, & D., Fudholi D.H. “Metode Stereo Vision Untuk Memperkirakan Jarak Objek Dari Kamera”. Seminar Nasional Aplikasi Teknologi Informasi 2012 (SNATI 2012). Yogyakarta, 15-16 Juni 2012.
 Mrovlje, J., &Vrancic, D. “Distance measuring based on stereoscopic pictures”. 9th International PhD Workshop on Systems and Control: Young Generation Viewpoint, 2008.
 Solichin, A. “Metode Background Subtraction UntukDeteksiObyekPejalan Kaki Pada LingkunganStatis”. Yogyakarta: JurusanIlmuKomputer dan Elektronika FMIPA Universitas Gajah Mada, 2013.
 Kamal, M.R, Wahono, R.S, & Syukur, A. “IntegrasiKromosomBuatanDinamisuntukMemecahkanMasalahKonvergensiPrematur pada AlgoritmaGenetikauntuk Traveling Salesman Problem”.Journal of Intelligent Systems, Vol. 1, No. 2, December 2015.
 Thada, V., & Jaglan, V. “Comparison of Jaccard, Dice, Cosine Similarity Coefficient To Find Best Fitness Value for Web Retrieved Documents Using Genetic Algorithm”. International Journal of Innovations in Engineering and Technology (IJIET), 2013.
 Hole, K.R., Gulhane, V.S., & Shellokar, N.D. “Application of Genetic Algorithm for Image Enhancement and Segmentation”.International Journal of Advanced Research in Computer Engineering & Technology (IJARCET). Volume 2, Issue 4, April 2013.
 Intan, D.K., & Apriani, K. “ImplementasiAlgoritma Canny dalamPengenalanWajahmenggunakanAntarmuka GUI Matlab”. Institut Teknologi Sepuluh November. 2017.
 Kumar,M.,Husian, M., Upreti, N.,& Gupta, D. “GENETIC ALGORITHM: REVIEW AND APPLICATION”. International Journal of Information Technology and Knowledge Management, July-December 2010.
 Ogura, T., Mizuchi, Y. “Distance Measurement System using Stereo Camera for Automatic Ship Control”. Tokyo University, 2013.