Company Filing History:
Years Active: 2018-2020
Title: Innovations by Inventor Kai Jia
Introduction
Kai Jia is a prominent inventor based in Beijing, China. He has made significant contributions to the field of liveness detection technology. With a total of five patents to his name, his work focuses on enhancing the accuracy and reliability of identifying living bodies through advanced detection methods.
Latest Patents
Kai Jia's latest patents include a liveness detection method, a liveness detection system, and a liveness detection device. The liveness detection method is designed to implement liveness detection on a human body. It involves obtaining video data through a video acquisition module and determining a feature signal of the object to be detected based on this data. The method judges whether the feature signal meets a predetermined condition, identifying the object as a living body if it does. This feature signal is indicative of eye movement. Additionally, his method and apparatus for liveness detection generate a random action instruction sequence, which includes at least one random action instruction. This sequence is sent sequentially, and the method determines if the instructions are executed by a living body based on detection information from multiple sensors, including an image sensor and at least one non-image sensor. The accuracy of liveness detection is improved by combining images captured by the image sensor with information from the non-image sensor.
Career Highlights
Throughout his career, Kai Jia has worked with notable companies such as Beijing Kuangshi Technology Co., Ltd. and Pinhole (Beijing) Technology Co., Ltd. His experience in these organizations has contributed to his expertise in liveness detection technology.
Collaborations
Some of his coworkers include Qi Yin and Zhimin Cao, who have collaborated with him on various projects.
Conclusion
Kai Jia's innovative work in liveness detection technology showcases his commitment to advancing the field. His patents reflect a deep understanding of the complexities involved in accurately identifying living bodies. His contributions are poised to have a lasting impact on the industry.
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