Smart Park Facial Recognition System

Case Details:

Xinjiang Mingwei Electronic Technology Co., Ltd. is the subgroup of the Fortune Global 500 enterprise called Chengwei International Group that is a group company focused on the electronic information industry. Its main business involves the development and design products as well as manufacture of telecommunication products that are international certified such as smart phones and tablet computers. It is also involved in the hardware production of the electronic communication products, International trade, software development, as well as internet-related businesses.

Xinjiang Software Park is working on some industrial projects including mobile phone complete machine, mobile phone core component production in the industry chain, software development, trade and exhibition, and commercial and logistic services. It strives to establish a smart terminal (mobile phone) industrial park that involves combination of production, education, research, residence, tourism, commerce, logistics, trade, finance and headquarters, and induce the concentrated growth of intelligent terminal industry. The project is developed in two stages, which include R&D, production, bonded processing, warehousing and logistics, residential and supporting facilities which include facilities customer support (headquarters centers and others).

Face recognition technology: it is the computer technology which identifies the face of a human being based on the analytical comparison. Being a major area of research in computer science, it includes technologies like face tracking and detection, automatic zoom provided in an image, night vision and infrared detection, and automatic adjustment of the exposure intensity in a photo.

Face recognition technology identifies the existence of a face in an input facial image/video stream the first thing based on human face features. In case, a face is recognized, it additionally gives the information about the placement and the size of every face, and the dispensation of the major organs of the face. Based on this information, it digs out the identity features in every face and matches them with identities of known faces and identifies individual identities.

Facial comparison is an operation of verifying identity of a detected face image or searching in a facial image database. Basically, it matches the sampled face image to the stored face images individually in a bid to come up with the best matching. Thus, it is the description of the facial images that defines the particular procedure and effectiveness of facial recognition, and two primary options of description, the use of feature vectors and faces texture template, are used.

Face recognition technology is based on the essence of local human feature analysis and graphic/neural recognition algorithm. This algorithm employs the aspect of human facial organs and parts features. An example is that it constructs recognition parameters upon multiple data of matching geometric associations, and compares, evaluates and affirms them with all original parameters in the database. The recognition time must not often take more than 1 second.