<p>Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security robot. The proposed system utilizes a wireless camera to detect the objects in the field of robot view. Principle component analysis (PCA) algorithm and filters are used to implement and demonstrate the process of the images. This gives the designed system the ability to recognize objects independently from current light conditions. Frame tracking in the images uses an attention system to get an estimate of the position of a person. This estimate helps the applied camera to identify objects with changing background lighting conditions such as a fire inside a building. By using this estimate, the applied camera could identify objects with changing background lighting conditions such as a fire inside premises. The system has been tested using the MATLAB environment, and the empirical performance explains the efficiency and strongness of the suggested device.</p>

Linear block code (LBC) is an error detection and correction code that is widely used in communication systems. In this paper a special type of LBC called Hamming code was implemented and debugged using FPGA kit with integrated software environments ISE for simulation and tests the results of the hardware system. The implemented system has the ability to correct single bit error and detect two bits error. The data segments length was considered to give high reliability to the system and make an aggregation between the speed of processing and the hardware ability to be implemented. An adaptive length of input data has been consider, up to 248 bits of information can be handled using Spartan 3E500 with 43% as a maximum slices utilization. Input/output data buses in FPGA have been customized to meet the requirements where 34% of input/output resources have been used as maximum ratio. The overall hardware design can be considerable to give an optimum hardware size for the suitable information rate.

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That the amount of the clarity in the color attribute in the single-image depends on the intensity of illumination, as well as the type of light used and the angle of its fall .This research we adopted in the light of the sun and different intensities on throughout the day and the angle of light on the picture, the purpose of Study changes in the color information received from camera. The proposed methods to address these data to get the clearest picture, It was also we working to shed different wavelengths between 400 to 750 nm and the wavelength of 255 nm and 366 nm for the purpose of studying the characteristics of the image. And we can looking for the disappearance of some band of color (RGB) colorimetric with small Concentration and its appearance at other times due to changes in the angle and intensity of light on the image, so the color shows the characteristic change color in the picture and the emergence of a difference in the captured image with time. The adoption of the mediator and the rate calculated the amount of the standard deviation of the color band in all the captured images. In order to find out which color packets disappear or appear based on light intensity , It was also we deducted three areas of each color of the primary colors in the image ( red , Green , blue) and calculate the amount of the standard deviation for it to know the times that appear or disappear some of the color packets . General TermsThe general terms we used general classification of image analysis by different time taken image for get better depend on the sources light. KeywordsExposure of camera, sun light, mean of image, measure of image quality.