Daniel Bender

Title: Innovations by Daniel Bender in Bulk Sorting Technology

Introduction

Daniel Bender, based in Grafschaft, Germany, is an innovative inventor known for his contributions to the field of bulk sorting technology. With a keen focus on applying advanced technologies to improve sorting systems, Bender holds a noteworthy patent that stands out in the industry.

Latest Patents

Daniel Bender's single patent is titled "Neural Network for Bulk Sorting." This invention presents a bulk sorting system designed to efficiently sort objects in bulk. The system features several advanced components, including at least one radiation source to illuminate the objects and at least one optical sensor to capture reflected radiation. By leveraging multi- or hyperspectral data, the technology employs a convolutional neural network (CNN) with multiple convolutional layers to detect and classify objects or semantically segment the data. This sophisticated analysis allows a mechanical sorter to effectively categorize and separate overlapping or stacked objects, treating them as a cohesive group when appropriate.

Career Highlights

Bender is currently employed at Tomra Sorting GmbH, a company recognized for its innovations in sorting technology and waste management solutions. His work within this organization highlights his commitment to advancing the field through innovative approaches and practical applications.

Collaborations

In his career, Daniel Bender has collaborated with talented professionals such as Dirk Balthasar and Frank Schmitt. These collaborations have contributed to the development of cutting-edge solutions in the sorting domain.

Conclusion

Daniel Bender’s inventive spirit and dedication to innovation are evident through his groundbreaking work on neural networks for bulk sorting. His contributions not only enhance operational efficiencies but also pave the way for future advancements in sorting technology, reflecting the ongoing evolution of the industry.