Improving fingerprint recognition as a highlight of mobile phone design

Human-computer interaction is expected to be more intuitive and convenient. Human-machine interface has become a major design focus for mobile device differentiation, so during this year's Taipei International Computer Show (Computex), chip developers such as touch, somatosensory and fingerprint recognition, all released new-generation solutions for mobile device applications Help manufacturers create better user experience. The next trend of touch solutions is to combine with fingerprint recognition technology, especially push-type sensing will become the mainstream design of fingerprint recognition for mobile devices.

At present, the fingerprint recognition of mobile devices mostly uses Slide Sensors. When the user's sliding direction and speed have obvious deviations, it is difficult to recognize normally, and the false positive rate is high. Therefore, the future application trend will gradually shift to Apple (Apple) uses touch-sensing technology, and the human-machine interface technology provider Synaptics has also planned to release related solutions in the second half of 2014, which will strengthen the company's leadership as a human-machine interface solution provider status.

Improving fingerprint recognition, push-type sensing will become mainstream

Rick Bergman (Picture 4), President and CEO of Synopsys International, said that with the introduction of high-end smartphones such as Apple, HTC, and Samsung, the market demand for fingerprint recognition has increased. In the past, the major manufacturers of capacitive fingerprint identification solutions, AuthenTec and Validity, had a total of 100 million units of fingerprint identification modules shipped in one year. AuthenTec has been acquired by Apple, and after Synopsys acquired Validity, about 60% of the orders have been transferred to Synopsys, and it has become the main supplier of non-Apple fingerprint identification technology.

It is worth noting that the fingerprint recognition solution currently provided by Synopsys International is a slider fingerprint sensor, which is a different collection mode from the press type used by Apple iPhone 5s.

Bergman further pointed out that not all smartphones have the same large-area home key as the iPhone, which facilitates the introduction of a push-type sensing solution. The slider-type sensing method can be placed on the back or side of the phone. Edge, the design flexibility is greater, so the initial fingerprint sensing solution of Synopsys International is based on slider.

However, Bergman believes that considering the consumer experience, the press-type fingerprint recognition solution will still become the mainstream of mobile devices in the future, so Synopsys has planned to release the small area touch sensing solution (Small Area Touch) in the second half of 2014 Sensor) to meet market application trends.

In fact, the slider sensor solution cuts the wafer into a strip sensor, the consumer slides the finger on the sensor, and the sensor module uses software algorithms to extract the captured fingerprint fragments The screen is combined into a complete fingerprint image, but this method has a high misjudgment rate, and it will be difficult to identify normally when there is a deviation in the sliding speed and direction. Bergman said that in order to bring consumers a better user experience, the push-type sensing solution will be the future application trend. He also expects that after about a year and a half, the push-type sensor will occupy the market, that is, it may exceed Slide bar sensing technology has become the mainstream solution for fingerprint identification.

As for the next step in fingerprint identification module design, it is to combine the touch module with the fingerprint identification solution. Bergman revealed that Synopsys International has plans to develop solutions for the integration of passive displays (Inactive Display), active displays (Active Display) screens, and fingerprint identification modules; in fact, the development of related technologies is no longer a problem, but the integration of fingerprint identification modules To the existing touch solutions on the market, small black dots are likely to appear when the finger is pressed on the screen, which will cause consumers to suspect that the product is bad, so the company is still looking for a suitable display material, hoping to develop a smooth Defective fingerprint recognition integrated touch screen solution.

Bergman emphasized that although in 2014, most of the models introduced with Synopsis International's fingerprint recognition solutions were mainly high-end smartphones, but by 2015, it is expected to penetrate into low-end smartphones.

It is reported that fingerprint recognition technology has contributed considerable revenue to Synopsys International. Bergman pointed out that the company's fiscal year 2014 revenue has increased by 40% compared with 2013, mainly due to the acquisition of a large fingerprint recognition factory-after Validity The effectiveness of the operation, which can also be seen from the growth potential of fingerprint recognition technology in the mobile device market cannot be underestimated.

In addition to touch and fingerprint recognition, somatosensory recognition technology has undoubtedly become the next tomorrow's star in the field of human-machine interface with the help of major manufacturers such as Microsoft, Google, and Intel.

In fact, with the rise of somatosensory recognition applications in recent years, the demand for three-dimensional (3D) image and spatial depth recognition technology has also increased; however, the mainstream 3D image depth acquisition technology on the market is through a single 3D depth image sensing The lens can detect the distance and range between the human and the computer, and cannot truly simulate the visual effect of biological "two eyes". Now, through the "3D dual image acquisition and depth recognition" technology, this drawback can be overcome to make the body feel Identification is more accurate.

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