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Traditionally in the physics laboratories of secondary educational school or university institutions simple Pendulum experiment is introduced to teach concepts such as time and simple harmonic motion. This experience usually requires to be carry out with the aid of stopwatches controlled by students or by using electronic laboratory equipment that quantifies the period autonomously. This work presents an alternative using computer vision, through a web camera as a tool for the analysis of Simple Pendulum for measurement and estimation of the magnitude of the gravitational field and the length of the weightless cord. The application developed calculates the results of measured period with a relative error less than 0,5%, which makes it a reliable tool to complement the work in class for institutions that do not have financial resources for having a reliable and easy simple tool to use. [ABSTRACT FROM AUTHOR]

This paper presents the results of a market research developed by the research group Robótica Aplicada in the área metropolitana centro occidente (AMCO), which seeks to identify the feasibility of developing and marketing a photovoltaic device that allows motorcyclists of the region recharge their electronic devices while the vehicle is in use. [ABSTRACT FROM AUTHOR]

The Fourier transform provides a physical link with optical theory. This work presents a simple relationship but valuable academically, between the diffraction of light through a long slit under the Fraunhofer criteria and possibilities of its complementary analysis using imaging processing. [ABSTRACT FROM AUTHOR]

This paper presents a computer recognition system which is able to identify a Latin American tropical fruit, from a set previously defined in a database, using computer vision techniques. This study allows for comparison of the KNN and Bayesian classifiers and the RGB and HSV color models, along with the size and shape characteristics previously used by researchers in this area, in countries such as: Malaysia, Brazil and the United States. For the class of fruits defined in this research, the characteristics that best described them were the mean values of the RGB channels and the length of the major and minor axes, when the Bayesian classifier was used, a process that yielded results with an accuracy equal to 90% in the tests carried out. It was found that the selection of a larger number of variables, to form the classifier descriptor vector, does not always allow for the delivery of a more accurate response. In this sense, it is important to consider that there should be a low value of dependence or correlation among the variables studied. The project also resulted in the development of a calibrated video electronic scale prototype, capable of sorting fruit, device that aims to contribute to the solution of the problem of identification and classification of agricultural products in supermarkets. [ABSTRACT FROM AUTHOR]