A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging

In this paper, we propose a new fingerprint sensing technology based on electrostatic imaging, which can greatly improve fingerprint sensing distance. This can solve the problem of the existing capacitive fingerprint identification device being easy to damage due to limited detection distance and a protective coating that is too thin. The fingerprint recognition sensor can also be placed under a glass screen to meet the needs of the full screen design of the mobile phone. In this paper, the electric field distribution around the fingerprint is analyzed. The electrostatic imaging sensor design is carried out based on the electrostatic detection principle and MEMS (micro-electro-mechanical system) technology. The MEMS electrostatic imaging array, analog, and digital signal processing circuit structure are designed. Simulation and testing are carried out as well. According to the simulation and prototype test device test results, it is confirmed that our proposed electrostatic imaging-based fingerprint sensing technology can increase fingerprint recognition distance by 46% compared to the existing capacitive fingerprint sensing technology. A distance of more than 439 μm is reached.

Download Full-text

P‐77: LTPS TDDI with Full‐screen Fingerprint Recognition

SID Symposium Digest of Technical Papers ◽

10.1002/sdtp.14959 ◽

2021 ◽

Vol 52 (1) ◽

pp. 1368-1371

Author(s):

Bozhi Liu ◽

Xuanxian Cai ◽

Jiaqian Wu ◽

Xiaoxiao Wu ◽

Binbin Chen ◽

...

Keyword(s):

Fingerprint Recognition ◽

Full Screen

Download Full-text

Rapid detection of leukemia cells by use of a complement-mediated cytolytic reaction and an imaging sensor system.

Clinical Chemistry ◽

10.1093/clinchem/33.4.558 ◽

1987 ◽

Vol 33 (4) ◽

pp. 558-561 ◽

Cited By ~ 2

Author(s):

M Suzuki ◽

E Tamiya ◽

T Kataoka ◽

T Tokunaga ◽

I Karube

Keyword(s):

Phase Contrast ◽

Time Course ◽

Processing System ◽

Digital Signal ◽

Image Sensor ◽

Leukemia Cells ◽

Measurement Time ◽

A Cell ◽

A Charge ◽

Imaging Sensor

Abstract We describe a system for detection of leukemia cells involving complement-mediated cytotoxic reaction and an image processing system, consisting of a charge-coupled-device image sensor, an image memory board, a personal computer, and a phase-contrast microscope. Then added to a cell suspension, monoclonal antibody specific to the fetal thymus antigen-1 of the mouse leukemia GRSL cell produced cytolysis of only GRSL cells. This cytolysis decreased the brightness of the cells observed by phase-contrast microscopy. The remaining brightness was subtracted from that of the phase-contrast image of the cells before cytolysis, which had been converted to a digital signal and stored in computer memory. Measurement time is 2 s. The time course for complete GRSL cytolysis, as measured with this system, is 12 min; overall measurement time, including reaction time, is approximately 15 min. GRSL cells in a suspension of mixed cells were determined specifically by the system.

Download Full-text

Attitude algorithm and initial alignment method for SINS applied in short-range aircraft

Modern Physics Letters B ◽

10.1142/s0217984917400814 ◽

2017 ◽

Vol 31 (19-21) ◽

pp. 1740081 ◽

Cited By ~ 1

Author(s):

Rong-Hui Zhang ◽

Zhao-Cheng He ◽

Feng You ◽

Bo Chen

Keyword(s):

Digital Signal Processor ◽

Short Range ◽

Digital Signal ◽

Flight Test ◽

Micro Electro Mechanical System ◽

Flight Simulation ◽

Engineering Practice ◽

Alignment Method ◽

Initial Alignment ◽

Simulation Test

This paper presents an attitude solution algorithm based on the Micro-Electro-Mechanical System and quaternion method. We completed the numerical calculation and engineering practice by adopting fourth-order Runge–Kutta algorithm in the digital signal processor. The state space mathematical model of initial alignment in static base was established, and the initial alignment method based on Kalman filter was proposed. Based on the hardware in the loop simulation platform, the short-range flight simulation test and the actual flight test were carried out. The results show that the error of pitch, yaw and roll angle is fast convergent, and the fitting rate between flight simulation and flight test is more than 85%.

Download Full-text

An Improved Method Based on FPGA and DSP for Designing FBG Sensor Analyzer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.760-762.70 ◽

2013 ◽

Vol 760-762 ◽

pp. 70-75

Author(s):

Xiao Qing Luo ◽

Rong Hu ◽

Bing Hui Zheng

Keyword(s):

Digital Signal Processor ◽

Digital Signal ◽

External Parameter ◽

Wavelength Shift ◽

Sensing Technology ◽

Field Programmable ◽

Signal Peak ◽

Key Steps ◽

Bragg Grating Sensor ◽

Temperature Strain

Fiber Bragg sensors become research focus of sensing technology, and have been widely used in many applications. This paper proposed a novel Fiber Bragg Grating sensor analyzer based on FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) platform, which converted external parameter changes into wavelength shift in fiber Bragg gratings. The system can measure real-time temperature, strain, pressure, displacement and others through key steps including data acquisition, clutter Filtering, signal peak detection, Gaussian curve fitting and weighted wavelength calculation to carry out wavelength demodulation. Moreover, it is able to achieve fault diagnosis and positioning of the fiber link. Experimental results show that the system has advantages of low power consumption, good linearity, strong robustness, high precision and resolution on wavelength demodulation. And the system is still stable and reliable after a long test under different conditions.

Download Full-text

Discussion on Excavation Monitoring Schemes Based on Image Processing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.4317 ◽

2011 ◽

Vol 71-78 ◽

pp. 4317-4320

Author(s):

Mao Heng Sun ◽

Wei Jiang ◽

Chen Hao Hu ◽

Tian Tian Feng

Keyword(s):

Image Processing ◽

Signal Processing ◽

Wireless Sensor Network ◽

Digital Signal ◽

Wireless Sensor ◽

Monitoring Methods ◽

Sensing Technology ◽

Processing Platform ◽

Internet Of Things Technology ◽

First Time

This study breaks through traditional displacement and inclination monitoring methods in excavation engineering, and proposes for the first time that combining excavation engineering with subjects such as Iconology, Signal Processing and Wireless Sensor Network, use Digital Signal Processing, Digital Image Processing, and Micro-Displacement Sensing technology for monitoring and processing various types of displacement. Then collect all monitoring points’ information through Internet of Things technology into database processing platform for processing, in order to achieve automatic real-time monitoring.

Download Full-text