SBIR Phase I: GIGAHERTZ ULTRASONIC FINGERPRINT IMAGERS

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是提供无欺骗的生物指纹传感器。消费者对采用物联网设备等许多技术并实现无现金社会的信心受到我们对交易无欺诈的信心的限制。在世界各地，存在不同程度的欺诈行为，众所周知，较贫穷的国家比较发达的国家欺诈行为的程度更高。通过提供可靠的生物识别设备，拟议的商业化计划将降低欺诈水平，并允许更大程度的经济活动提高生活水平。用于感测的GHz超声波技术也有可能用于能够对婴儿指纹进行成像的应用，使枪支中的指纹读取器能够以非常快的速度进行认证，并允许与信用卡和借记卡集成。商业活动的成功将为信任电子经济创造一个新的范例。这个小企业创新研究（SBIR）第一阶段项目将开发革命性的新生物识别传感器。生物识别技术的范围从感测眼睛的独特图案到声音和指纹等标记。电容式指纹传感器和光学指纹传感器在智能手机和桌面应用中非常常见。这些技术产生的图像通常分辨率有限，并且无法防欺骗。例如，光学指纹读取器可以被指纹图像欺骗，电容式指纹传感器可以被皮肤状介电聚合物指纹模具欺骗。超声波图像提供了检测组织材料特性的可能性，可以帮助识别假指纹。尽管有许多低频技术可用于超声波指纹传感，但由于成本、封装以及SNR和分辨率不足，很少有技术大量进入市场。在这个项目中，该公司将把工作频率扩展到GHz范围，以实现标准行业标准500 dpi分辨率的4到8倍。再加上在低电压下工作的集成电路，该公司的目标是将传感器集成在非常薄的平台上，如信用卡。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to provide spoof-free biometric fingerprint sensors. Consumer confidence in adopting many technologies such as IoT devices, and reach a cash-less society is limited by our confidence in transactions being fraud-free. Around the world, there are varying degrees of fraud and it is well known that poorer countries have higher levels of fraud then more advanced countries. By providing a trustable biometric device, the proposed commercialization plan will allow lower levels of fraud and allow greater degree of economic activity bringing up standards of living. The technology of GHz ultrasonics for sensing also has the potential for to be used for applications in being able to image baby fingerprints, enable fingerprint readers in fire-arms for authenticated use at very fast speeds, and allow integration with credit and debit cards. The success of the commercial activities will create a new paradigm for trusting the electronic economy.This Small Business Innovation Research (SBIR) Phase I project will develop revolutionary new biometric sensors. Biometric technologies range from sensing the unique patterns of the eyes, to voice, and fingerprints amongst other markers. Capacitive fingerprint sensors, and optical fingerprint sensors are very commonly found in smartphones and desktop applications. These technologies produce images that are often limited in resolution and are not spoof-proof. For example, optical fingerprint readers can be spoofed by fingerprint images and capacitive fingerprint sensors can be spoofed by skin-like dielectric polymer fingerprint molds. Ultrasonic images offer the potential for detecting tissue material properties that can help identify fake fingerprints. Although many low-frequency technologies for ultrasonic fingerprint sensing are available, very few have made it into the market in large quantities owing to cost, packaging, and insufficient SNR and resolution. In this project the company will extend the frequency of operation to the GHz range to achieve four to eight times the standard industry standard of 500 dpi resolution. Coupled with integrated circuits operating at low voltages, the company aims for integration of the sensors in very thin platforms such as credit cards.