Craig Emmerich

Title: Inventor Spotlight: Craig Emmerich

Introduction

Craig Emmerich, based in River Falls, WI, is an innovative inventor known for developing a unique patent that enhances operational efficiency in data collection. His contribution to the field of technology exemplifies the significant impact of inventive thinking on modern solutions.

Latest Patents

Craig Emmerich holds a patent for "Methods and systems for collecting responses," which incorporates scannable form techniques and systems. This invention features a pen-camera device and an electronic clipboard designed to streamline the process of data aggregation. Critical components of the clipboard include a docking station for the pen-camera, a retention clip for holding forms, and various interfaces for power supply and data communication. The pen-camera device enables users to mark, optically scan, and associate time-stamped information with collected responses for enhanced accuracy and fraud detection. This innovative approach to responses collection not only optimizes data entry but also ensures integrity through error-checking capabilities.

Career Highlights

Craig Emmerich is a valued member of Scantron Corporation, where he continues to push the boundaries of technology in the education and assessment sector. His experience at Scantron provides him with a platform to apply his innovative skills and collaborate with other professionals in the industry.

Collaborations

At Scantron Corporation, Craig has worked alongside notable colleagues such as Todd Nelson Radtke and Philip R. Moulton. Their collaboration underscores the importance of teamwork in fostering innovation and creating solutions that meet the demands of modern data collection.

Conclusion

In summary, Craig Emmerich's inventive efforts and his work at Scantron Corporation highlight the essential role of innovation in today’s technology landscape. His patent on methods for collecting responses not only reflects his ingenuity but also serves as a valuable resource for organizations aiming to enhance their data collection processes.