Aiming at demand for high-performance anti-theft systems

a smart anti-theft system is designed.By combining Haar classifier and local binary pattern（ LBP） feature extraction

authenticate the identity of the face.Aiming at the shortcomings of LBP feature recognition in the face recognition which the face waiting to be recognized is not belong matching library

an identification authentication algorithms for enhancing recognition of strange faces by the system is designed.Secondly

aiming at the drawbacks that the owner can not obtain information in time or accurately in traditional anti-theft system.Improving the level of intelligence of the system by utilizing the One NET cloud platform

because the face information recognized by the system can upload to the cloud platform and notify the owner through the mobile phone.After the actual measurement

the effectiveness of the system is proved.