Research Of Intelligent Property Management System Based On Face Recognition

The rapid development of science and technology, the intelligent community property management system can be achieved. As is known to all, high and low quality of residents and the city modernization degree of people of residential property management requirements. Previously, simple way of life and technology conditions, the traditional manual way can meet the people's demands of residential property management level, but this way full of loopholes, the residential property management matters will appear all sorts of problems. With the times going forward, policy U-turn is more and more, most people lived in the building, the small scale showed amplification, increasing the number of tenants, community management complex degree Step by step, to the residential property managers work adds great difficulty. Therefore, in the era of rapid development of the various professional and technical, improve modern residential property, the management level of the intelligent of the full range of property management system has is imperative.In order to improve the efficiency of management of the residential complex for each transaction to reduce residential property managers work difficulty. This paper focuses on how to utilize the face recognition access control system, in order to achieve the personnel in and out of the cell, intelligent, fast for the purpose. The selection of the design of the embedded equipment and calculating machine combination, using face recognition technology, combined with image processing, database and so on professional knowledge, according to the close are a applications, development based on face recognition intelligent property management system.This paper mainly on the face recognition algorithm, embedded hardware system, microprocessor and computer software system design and elaborates the design process. In algorithm analysis, to mature PCA and 2DPCA two facerecognition methods of analysis and comparison, used the PCA method as the core algorithm of the system. In the system hardware design, the s3c2440 a microprocessor, according to the actual situation of the District, s3c2440 a peripheral interface design. In the software design, using Linux embedded operation system, complete the hardware drivers and applications of implantation,and the computer development and the corresponding Software platform.From the point of view of the test results, different algorithms have different recognition rate and recognition speed and accuracy rate. At the same time, the microprocessor and computer can data transmission, so the whole system function modification and expansion, can meet the requirements of different areas of management.