Mouk Pio Kang

Title: Innovations by Mouk Pio Kang

Introduction

Mouk Pio Kang is an accomplished inventor based in Bukit Mertajam, Malaysia. He has made significant contributions to the field of technology, particularly in the realm of artificial intelligence and criminal justice. With a total of two patents to his name, Kang's work focuses on enhancing the capabilities of systems that predict and analyze criminal activities.

Latest Patents

Kang's latest patents include a "System and method for predicting a penal code and modifying an annotation based on the prediction." This innovative technique involves receiving a sentence that describes a scene captured by a video device, which may depict a criminal act. An artificial intelligence bot identifies the penal code most likely associated with the described act. The sentence is then modified based on a lexicon related to the identified penal code. Feedback on the accuracy of the penal code identification is collected to further train the AI bot.

Another notable patent is "Identifying individuals who witnessed a fleeing suspect." This method analyzes a camera's field of view to determine the region where a suspect exited. Individuals entering or exiting this region are identified, and their information is provided to law enforcement officers, enhancing the ability to track suspects.

Career Highlights

Mouk Pio Kang is currently employed at Motorola Solutions, Inc., where he continues to develop innovative solutions that leverage technology for public safety. His work has garnered attention for its practical applications in law enforcement and crime prevention.

Collaborations

Kang collaborates with talented colleagues, including Guan Lip Soon and Tih Huang Yeoh, who contribute to the development of advanced technologies in their respective fields.

Conclusion

Mouk Pio Kang's contributions to innovation in artificial intelligence and criminal justice demonstrate his commitment to enhancing public safety through technology. His patents reflect a forward-thinking approach to solving complex problems in society.