The application of face recognition cameras is a problem that many people want to know. When it comes to cameras, many people know, but when it comes to face recognition cameras, there are not many people who know. So we must start with face recognition. Start. The so-called face recognition is a biometric recognition technology based on human facial feature information for identification. A series of related techniques for capturing a face or a video stream with a camera or a camera, and automatically detecting and tracking the face in the image, and then performing face detection on the detected face, which is also commonly called portrait recognition and face recognition.
Face recognition cameraThe face recognition camera is designed with AVS03A+Sony scheme, providing face recognition, strong light suppression, dynamic white balance, hidden occlusion, backlight compensation, picture adjustment and many other functions. The face recognition camera is a pioneering intelligent era, which is characterized by the ability to track and recognize faces; intelligently amplified surveillance cameras.
Face recognition features
1. High resolution and low illumination: 0.01LUX at F1.2 650 lines in color/0LUX at F1.2 when special light source is on;
2, the use of special light source fill light (filled light 90), the word and background are not reflective or one of the reflective license plate (old license plate) can also be identified, make up for the traditional white light can only identify the new license plate Defects; visible light effective distance of 30m, can be adjusted according to the brightness of the environment, can also present a full-color license plate at night;
3, built-in lens: 8-20mm automatic aperture million high-definition lens or 5-15mm automatic aperture lens, can be adjusted through the back end as needed; strong light suppression function automatically converts.
4, built-in network module, configure SD card slot or USB interface;
5, with automatic capture storage. Capture mode: external trigger capture mode, video area capture, etc.
6, using the excellent H.264 video compression algorithm, easy to achieve high-definition image low network bandwidth transmission;
7, support dynamic domain name resolution, support LAN, Internet (ADSL, Cable Modem) and 3G;
8, can support up to 10 users at the same time P2P browsing;
9, built-in multiple platform connection protocols, support seamless connection of multiple platforms;
10, complete SDK support, allowing users to make secondary development through SDK calls;
11, with advanced backlight compensation function;
12, with strong light suppression function (halo shrinkage), the size of the suppression range can be adjusted according to the environment;
Face recognition advantage
The advantage of face recognition lies in its naturalness and characteristics that are not perceived by the individual being tested.
The so-called naturalness means that the recognition method is the same as that used by humans (or even other organisms) for individual identification. For example, face recognition, humans also distinguish and recognize the identity by observing the face, and also have natural recognition, speech recognition, body shape recognition, etc., while fingerprint recognition, iris recognition, etc. are not natural, because human or other Creatures do not distinguish individuals by such biological characteristics.
Undetected features are also important for an identification method, which makes the recognition method unobjectionable and not easily fooled because it is not easily noticeable. Face recognition has this feature. It completely uses visible light to obtain facial image information. Unlike fingerprint recognition or iris recognition, it is necessary to use electronic pressure sensors to collect fingerprints, or use infrared to collect iris images. These special collection methods are easy. Being perceived, it is more likely to be deceived by pretense.
Face recognition camera application analysis1. Face recognition captures the market share of biometrics
The data shows that global demand for biometric products will reach $7.1 billion in 2010. In the next five years, the comprehensive annual growth rate of biometric devices will reach 21.3%. According to the latest authoritative report of the International Biometrics Group (IBG), Biometrics Market and Industry Report 2009-2014, automatic fingerprint identification system (AFIS) and real-time scanning account for the largest share of biometrics. 38.3%; fingerprint recognition accounted for 28.4% (Automatic Fingerprint Identification System (AFIS) and real-time scanning, refers to fingerprint identification systems applied in public security, criminal investigation, airport, security and other industries; fingerprint identification refers to civilian identification of other fingerprints Market.) Face recognition accounted for 11.4%; iris recognition, speech recognition, vein recognition, and palm shape recognition each accounted for 8.0%, 3.0%, 2.4%, and 1.8%. It is understood that China's domestic face recognition accounts for 18%. In contrast, the proportion of fingerprint recognition has dropped from 98% to 82%. The above data fully shows that the powerful development potential of face recognition will replace fingerprint recognition. The development trend of the market.
It is understood that face recognition is a biometric recognition technology based on human facial feature information for identification. A series of related techniques for capturing a face or a video stream with a camera or a camera, and automatically detecting and tracking the face in the image, and then performing face detection on the detected face, which is also commonly called portrait recognition and face recognition. The application and prospects of face recognition technology in the field of security identification of access control systems, personal identification, information security, and social entertainment. It is expected that the face recognition technology will have a very broad market space in the future.
Compared to other biometric technologies, face recognition cameras have their own advantages. First, face recognition is visible. This is very in line with the idea of ​​face recognition. You only need to see someone's face, you can know who this person is, and then it can be used as follow-up evidence. Fingerprints, irises, and other biometrics cannot do this. In addition, face recognition does not require or requires little cooperation. Fingerprints and irises basically require human hands to cooperate, and face recognition is not required, which determines the application of face recognition is more extensive. In the third aspect, face recognition does not require special equipment support. Nowadays, the lens is everywhere. The high-definition camera on the street and the hand-held smartphone can carry out the capture or capture of the face. This determines that the face recognition application can be infinitely popular. Face recognition technology is widely used in criminal investigation, access control systems, camera surveillance, network applications, identity recognition, information security and entertainment applications. And the latest market reality, face recognition is also applied to the brush face payment system. The first brush face payment system was born and entered the corresponding test phase. PayPal launched the “Face Recognition†payment function in the UK, marking the application of face recognition technology into a new field.
2, the application of face recognition camera still has problems
In practical applications, face recognition technology should pay attention to the following important issues:
Age changes in the application of face recognition cameras: there are large differences in faces of different ages. The ID card is taken in the past, and the photo of the fugitive is also the former. Therefore, in the practical application of the public security department, the age issue is one of the most prominent problems.
Attitude change in the application of face recognition cameras: This problem is more prominent in the recognition of active faces. In general, the detection rate of the left and right angles is mainly tested. The current level is: ±10o can achieve a higher recognition rate.
Different media for the application of face recognition cameras: There are many devices for collecting face images, mainly including scanners (photographs), digital cameras, and video cameras. Due to the different imaging mechanisms, the recognition rate of similar facial images is higher and the recognition rate of facial images between different categories is lower. With the development of face recognition technology, this problem will be gradually solved.
The recognition speed of the application of the face recognition camera: There are two kinds of recognition speeds, one is file-based, that is, the features are saved into files and compared at the file level. The other is based on the database, such as the comparison in the oracle database, the detailed personnel file is stored in the database, so that the text and text can be mixed query, and with the help of graphic and text query, the check rate can be improved. File-based comparison speeds can reach 200,000/sec; database-based, single-server comparison speeds can reach 10,000/sec.
These two methods have their own characteristics. The current research is to combine the advantages of both to achieve high-speed, high recognition rate face recognition. The recognition of active faces requires a higher recognition speed. These include the speed of face detection and the speed at which faces are recognized. Face detection can be realized within 40ms. In the database of 100,000 people, the whole process from face detection to face recognition can be completed within 2 seconds, which should meet the requirements of most practical applications.
The new face of the application of face recognition cameras in security
Face recognition technology has once again become a hot spot in the market. Many listed companies have recently launched related products or indicated that they are carrying out technical reserves and research and development. According to Gao Xinxing, the company currently has face recognition products, which are mainly used in the financial security field and can be installed in ATM machines and other equipment. Wu Junjie, the witness of Chuan Da Zhisheng Company, said earlier that the company's face recognition products will be introduced to the market next year, mainly for the security field.
At present, the vast amount of camera video surveillance data relies on human retrieval, and the efficiency is low. The unstructured video data back-end processing problem is an important limitation that restricts the development of the security industry. Forward-looking Industrial Research Institute "2013-2017 China Biometrics Industry Market Prospects and Investment Strategic Planning Analysis Report" believes that the application of face recognition technology can enhance the video back-end processing ability to a certain extent, thereby improving the overall security system. operating efficiency.
High Speed Blender,Ipl Laser Hair Removal,Diy Laser Hair Removal,Best Ipl Hair Removal,Epilator Ipl
SHENZHEN CHONDEKUAI TECHNOLOGY CO.LTD , https://www.szfourinone.com