The computer vision for binocular eyes system has many applications in robot applications and safety purposes. Based on the previous research, the combination of the area of sight of stereo vision will trigger the trigonometry intersection point for determine the distance of the objects from it baseline. The system programme codes is one of the issue need to confront consequent since there are various sorts of calculation that are in the same field, however has unmistakable of use. This project focuses on how to measure distances using binocular vision. The main objective is to evaluate the binocular vision system by calculating the distance of objects in real environment. Furthermore, the project proposes a new program algorithm for binocular vision system to work, in order to identify distance of an object with a basic equation has been derived and set in the designed algorithm. The setting environment are set to single and multi-objects measured, object in environment and changes of degree of bright light. Evaluation of the system shows the detected distances are consistence and the data were recorded. The value of the distances detected are then compared with the real environment distances. The result show distances measured moderate enough for proposed system to function and may facilitate improvements in computer vision system for industry.

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This paper investigates simulation of air flow acting on the airflow sensor using the Computational Fluid Dynamic (CFD) approach. Simulation is carried out to evaluate the performance of airflow sensor by analysing small change of the air flow acting on the airflow sensor structure. Identification of the characteristics and parameters for the sensor in motion was done to achieve higher accuracy of the airflow result. Analyzation stage from the obtained data comprehending the behaviour of the airflow in higher accuracy while sensor in motion will be verified by detection of high sensitivity in relative velocity of the airflow sensor compared to conventional sensor. Therefore, an analysis was conducted with three different airflow directions involving necessary boundary condition and parameter. The efficiency from the tabulated data for dynamic motion has also been determined by comparing simulation data with calculation. All simulations and analyses were completed using the ANSYS software.

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Automated reaction from the system is most important in fulfilling the requirement of the intelligent control system. Hence, many related studies regarding in developing the hardware of the system such as high sensitivity of the airflow sensor in detecting the changes either in user or the environment. The effect of the fast detection of the sensor through the high sensitivity of the airflow sensor have enable the system to identify and analyze the behavior of the user in higher accuracy compared to conventional system. Within the scope of airflow sensitivity, separation between two parts in the airflow sensor in altering the velocity impact have been inquired in purpose, while a few investigations in relations to determine the pressure contour of the main parts have been explored by application of using Computational Fluid Dynamics (CFD. This simulation is performed in the ANSYS program software. Thus, this study consequently intends to be focus on detection the high sensitivity of the airflow movement by distinguishing the high and low velocity impact. The optimization the airflow sensor in this study based on design parameter also done in order to design and develop a highly sensitive airflow sensor