Ji Wu

Title: Innovations by Ji Wu in Glass Break Detection

Introduction

Ji Wu is an accomplished inventor based in Fairport, NY (US). He has made significant contributions to the field of audio signal processing, particularly in the development of technologies that enhance security systems. His innovative approach combines neural networks with audio analysis to create effective detection methods.

Latest Patents

Ji Wu holds a patent for an "Apparatus and method for detecting glass break." This invention utilizes a neural network to determine if an audio signal corresponds to breaking glass. The system includes a characteristic extraction unit that analyzes a time domain signal based on the audio input. It extracts a set of signal characteristics, which can be the magnitudes of the discrete Fourier transform coefficients or the Fourier transform coefficients themselves. A two-layer neural network classifier processes these characteristics to accurately identify whether the audio signal indicates glass breaking. Ji Wu's patent represents a significant advancement in security technology, with 1 patent to his name.

Career Highlights

Ji Wu is currently employed at Detection Systems, Inc., where he continues to innovate in the field of detection technologies. His work focuses on improving the reliability and accuracy of security systems through advanced audio processing techniques. His contributions have been instrumental in enhancing the capabilities of glass break detectors.

Collaborations

Ji Wu collaborates with William DiPoala, a fellow professional in the field. Together, they work on developing and refining detection technologies that address various security challenges.

Conclusion

Ji Wu's innovative work in glass break detection showcases his expertise in audio signal processing and neural networks. His contributions to Detection Systems, Inc. and the patent he holds reflect his commitment to advancing security technology.