Peter Bock

Title: Innovations by Peter Bock in Signal Classification

Introduction

Peter Bock is an accomplished inventor based in Washington, DC. He has made significant contributions to the field of signal classification, particularly through his innovative patent that utilizes artificial intelligence techniques. His work focuses on processing data with multiple possible values, which is crucial in various applications, including the detection of anomalies in manufactured products.

Latest Patents

Peter Bock holds a patent for a "Method of classifying signals, especially image signals." This patent describes a system that employs artificial intelligence to process gray-scale values of pixels in an image. The technology is designed to scan digitally-coded image data to identify defects in manufactured products. The processing apparatus can operate with either a single processing channel or multiple parallel channels. It samples incoming signals to create a matrix of scan values, selects subsets to define samples, and extracts features such as mean image brightness, activity, and gradient values. The system then uses these features to retrieve corresponding probability-of-occurrence values from a table, which are derived during a learning procedure.

Career Highlights

Peter Bock is associated with Robert Bosch GmbH, where he continues to innovate and develop advanced technologies. His work has been instrumental in enhancing the capabilities of signal processing systems, making them more efficient and reliable.

Collaborations

Peter has collaborated with notable colleagues, including Hauke Schmidt and Roland Klinnert. Their combined expertise has contributed to the successful development of innovative solutions in the field of signal classification.

Conclusion

Peter Bock's contributions to signal classification through his innovative patent demonstrate the potential of artificial intelligence in processing complex data. His work not only advances technology but also plays a vital role in improving quality control in manufacturing processes.