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The point of this paper is to plan and foster a finger impression based train motor getting to framework with a perspective on lessening manual working and to avert unauthorised users. As of late, train commandeer has been on the increment as equipped burglars center around taking vehicles, particularly the pristine ones. This is accomplished with the utilization of a finger impression module, ATMega328P microcontroller and Liquid Crystal Display (LCD) module. Correspondence based train control (CBTC) [8] is a control mechanism which use bidirectional train–ground to operate the trains in a safer manner. Since there is problem in controlling the train via remote operation and its transportability, wireless networks can be incorporated to manage the execution of train control system.For that we used ESP2866 wifi module which is used for uploading the train engine drivers database into the server. However we can avoid this collision and prevent the train from accident by utilizing the impact identification innovation which can be made by ultrasonic sound. This technology is used to detect the obstacle and it gradually slow down the speed of the train by applying the air brake to stop the train before the mishap occurs.

Location-Based Services (LBS) is used to identify the current location of the user and the user is able to search the point of interest such as hotels, parks which is located near to him. Many of the systems are still using GPS to search any location which does not have privacy. The systems which are proposed earlier have some drawbacks on privacy. The proposed system provides privacy by using Dynamic Grid System (DGS). DGS provides continuous connection with the base station and whenever the user request to find location by querying he has to reveal his current location to the base station. To find the nearby Point Of Interest (POI) the K-Nearest Neighbour algorithm is used. K-Nearest Neighbour provides the user required POI even if the user is on the move. The system uses semi-trusted third party which is known as Query Server (QS) which do not collect and store any information of the user.

Application of ANN Controller towards the improvement of AGC performance issue in three area system is proposed in this article. To minimize the Area Control Error (ACE) and stabilize the frequency oscillations along with tie line power deviations with conventional PI controller is used initially. The application of ANN is to tune PI gain values. Here multilayer feed forward technique is intended to simulation purpose. The performance enhancement of AGC using of ANN controller results were compared with the PI. From the analogy point the results gained from ANN controller seems to be better than performance of PI.

The color space conversion employs a significant function in preprocessing phase of digital image processing. Color conversion can improve the quality of images. The color space conversion is used in various applications such as commercial, multimedia, computer vision, visual tracking systems etc. The objective is to convert one color space to another and the inverse of same. Various color space conversions are used such as RGBHSV, RGBHSI and RGBHSL. The conversion process can be done using color space conversion algorithm. The hardware realization of color space conversion models can be implemented by using Xilinx System Generator (XSG) is implemented on Field Programmable Gate Array (FPGA) Spartan-6 XC6SLX16 Family. Finally, the above color space conversion models are implemented in real time and then tabulated in terms of percentage resources utilization and power report of various color space models. By means of color conversion the efficiency and speed are increased.