Bridgwater, United Kingdom

William Martin Barnard



Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

William Martin Barnard: Innovator in Object Detection Technology

Introduction

William Martin Barnard, an inventive mind based in Bridgwater, GB, has made significant strides in the field of object detection technology. With a sole patent to his name, his innovative contributions are noteworthy and have the potential to impact various applications in detection systems.

Latest Patents

Barnard holds a patent for an "Object Detector Apparatus and Method." This ground-breaking apparatus includes a receiver designed to capture signals from objects exhibiting repetitive motion. The frequency of these signals correlates with the motion frequency of the object. The apparatus features an analyzer that samples received signals under a unique set of sampling parameters. It compares the resulting data against previously sampled datasets to enhance detection accuracy. Additionally, the analyzer can operate with an alternative set of sampling parameters, boosting the system's versatility.

Career Highlights

Barnard is affiliated with Renishaw Plc, a leading company known for its engineering innovations. His work focuses on refining detection methodologies that can be foundational for advancements in automation and robotics.

Collaborations

In his career, Barnard collaborates with notable colleagues, including Victor Gordon Stimpson and William Kenneth Davies. Their collective expertise complements Barnard's innovative efforts, contributing to the development of cutting-edge solutions in object detection.

Conclusion

William Martin Barnard stands as an influential figure in the realm of object detection, with a patent that underscores his dedication to innovation. His role at Renishaw Plc, coupled with collaborative efforts, positions him well for continued advancements in technology that may reshape how we understand object detection systems.

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