Pan-Tilt Modelling for Face Detection

3rd Annual Applied Science and Engineering Conference

工业技术;自然科学

Latifah, A.^1 ; Saripudin^2 ; Aulawi, H.^3 ; Ramdhani, M.A.^4

Department of Informatics, Sekolah Tinggi Teknologi Garut, Jl. Mayor Syamsu No. 1, Garut

44151, Indonesia^1

School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung

40123, Indonesia^2

Department of Industrial Engineering, Sekolah Tinggi Teknologi Garut, Jl. Mayor Syamsu No. 1, Garut

44151, Indonesia^3

Department of Informatics, UIN Sunan Gunung Djati Bandung, Jl. A. H. Nasution No. 105, Bandung

40614, Indonesia^4

关键词: Black-box model;    Compensator design;    Data validation;    Dataset retrieval;    Experimental approaches;    Input and outputs;    Open loop systems;    Surveillance systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/434/1/012204/pdf
DOI  :  10.1088/1757-899X/434/1/012204

来源: IOP

【 摘 要 】

Object detection is one of the important application in the surveillance system. In system design, a model is needed to be used for the compensator design process. The black-box modeling method is used so that we can get the mathematical model of the plant without using physics laws, while it is used an experimental approach so that it takes input and output data from the open-loop system response. In modeling the system, two datasets are required to estimate the model and validate the data. In the process, Arduino Mega controller commanded to transmit Pulse Width Modulation (PWM) signals on the pan and tilt servo motors. The command sets motion to pan and tilt systems which installed a camera in it, and the dataset retrieval process can be performed. In this case, the PWM signal as input and the center coordinates of the face (pixels) as outputs based on the viola jones method for the image processing of the open-loop system. The results of the mathematical model of the system show that the data obtained is quite accurate, it is proved from the estimation and data validation that has been done.