From touch screens, voice interactions and other functions to wearables, smart homes and other system applications, hardware intelligence is moving toward more and more “natural†human-computer interactions. The intelligent hardware also enables more and more hardware devices to Provide a more perfect human-computer interaction experience. There are so many types of biometrics, why fingerprint recognition becomes the mainstream? The reason is that the template for storing fingerprint feature data is the smallest among the current biometrics. The storage capacity of each fingerprint is only about 120 to 180 bytes. This small space requirement allows it to be easily stored in devices with limited capacity, such as credit cards, passports, and identity cards. In addition, due to advances in technology, the size of the fingerprint identification device is also reduced. In addition to the slide identifier commonly found on notebooks, similar devices are gradually applied to mobile phones, and do not require much space for configuring hardware. In short, fingerprint recognition has a good interactive experience and also has many advantages. The main advantages are summarized as follows: (1) Occupied storage space is small: The template for storing the fingerprint feature data is the smallest in the current biometric identification, and the storage capacity of each fingerprint is only about 120 to 180 bytes. (2) High security: In addition to identical twins, it is necessary to find out that the fingerprints of two individuals have the same person, which may occur only when the earth population reaches 42 digits. (3) Convenience: The fingerprint feature is “carry-onâ€, which can realize a convenient and accurate human-computer interaction experience, and is easy to cooperate with the computer and security, monitoring, and management system integration to achieve automatic management. (4) High stability: Fingerprints are one of the most stable biological characteristics of humans. Fingerprint identification technology has become more and more mature and has huge room for development. Whether it is to unlock the mobile phone or replace the password, or mobile payment, fingerprint recognition has unlimited imagination. Although this is not the first year of fingerprint recognition technology, it is a year of mature application of this technology, and now many flagship mobile phones have been equipped with this technology. According to our estimation, in 2014, the number of fingerprint identification sensor shipments was 17.60 million. It is estimated that shipments from 2015 to 2016 will be 220.4 million, and 270.2 million. The average growth rate in the past three years is 72.78. According to market expectations, the market capacity for fingerprint recognition in smartphones and iPads reached 2.8 billion, 11 billion, and 23.6 billion yuan respectively in 13-15 years, with an average annual compound growth rate of 190, and 2015 will be the outbreak year. Apple's fingerprint identification module is mainly composed of Touch ID Sensor, drive ring, sapphire mirror, and touch switch. TouchIDSensor is one of the most important parts, including IC design (including algorithms), wafer fabrication, packaging and testing. It can be seen that Touch ID Sensor has the highest value in Apple's entire fingerprint identification module, accounting for about 70 percent. Glass Honey Jar,Honey Glass Jars,Small Honey Jar,Small Glass Jars XUZHOU NORTH STAR PACKING PRODUCTS CO.,LTD , https://www.nspglassbottle.com
Fingerprinting everywhere everywhere next year will be the year of the outbreak>
The so-called fingerprint recognition , as the name suggests, is to use the unique fingerprint information on the human finger to identify. There are two common fingerprint identification methods. One is Verify (1:1). This type of identification usually uses a set of passwords or IDs. When the system compares, the password and ID are entered into the database, and the corresponding password is used. The fingerprint information of the ID is one-to-one. The other type is Identification(1:N). This recognition is called one-to-many comparison, that is, the input fingerprint is compared with thousands of fingerprint information in the database.
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