Syracuse, NY, United States of America

William H Havens

This inventor holds 127 USPTO granted patents and 5 published patent applications and 17 EPO patents, primarily in Image Sensing Technology (CPC class G06K7-10722). Top assignees: Hand Held Products, Inc., Welch Allyn, Inc., Welch Allyn Data Collection, Inc.. Active years: 1994-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: William H Havens. Retrieved from https://idiyas.com/inventor/william-h-havens

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 127 

% Patents Active = 77.2

 

Average Co-Inventor Count = 2.9

ph-index = 56

Forward Citations = 18,230(Granted Patents)

Forward Citations (Not Self Cited) = 17,089(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Manlius, NY (US) (2004 - 2007)
  • Skaneateles, NY (US) (1994 - 2013)
  • Marcellus, NY (US) (2003 - 2018)
  • Syracuse, NY (US) (2007 - 2024)

Company Filing History:


Years Active: 1994-2024

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Areas of Expertise:
CMOS Image Sensor
Image Reader
Laser Scanning
Indicia Reading
Optical Reader
Wireless Data Terminal
Focus Module
Transaction Terminal
Light Field Imaging
Deformable Lens
Image Processing
Trigger Signal Activation
127 patents (USPTO):Explore Patents

Title: William H Havens: Pioneering Innovations in Image Reading Technology

Introduction:

William H Havens, based in Syracuse, NY, is an incredibly prolific inventor with a strong focus on image reading technology. With an impressive portfolio of 123 patents, Havens has made significant contributions to the field. This article delves into his latest patents, career highlights, notable collaborations, and his lasting impact on the world of innovation.

Latest Patents:

Among his recent patents, one notable invention by William H Havens is the "Image Reader Comprising CMOS-based Image Sensor Array." This invention presents an image reader and a method for capturing sharp, distortion-free images of targets such as barcodes. The image reader employs a two-dimensional CMOS-based image sensor array, along with a timing module, illumination module, and control module. The innovative timing module enables simultaneous exposure of pixels in the array, capturing high-quality images efficiently.

Career Highlights:

Throughout his career, Havens has made significant contributions to various organizations. He has collaborated with and worked for renowned companies, including Hand Held Products, Inc. (now part of Honeywell Scanning & Mobility) and Welch Allyn, Inc. At these companies, he honed his expertise in the development of image reading technology, laying the foundation for his numerous patents.

Collaborations:

Collaboration often sparks innovation, and William H Havens worked alongside accomplished individuals in his field. Notably, he collaborated with Ynjiun P Wang, a fellow inventor with a strong background in barcode reading technology. Together, they made remarkable advancements, contributing to the development of cutting-edge image reading solutions. Havens also had the opportunity to work with Chen Feng, another esteemed individual, whose expertise further propelled their collective efforts.

Conclusion:

William H Havens, a renowned innovator in image reading technology, has left an indelible mark on the field through his extensive patent portfolio and collaborative ventures. His invention of the "Image Reader Comprising CMOS-based Image Sensor Array" showcases his commitment to capturing high-quality images with remarkable precision. With a career spanning noteworthy companies like Hand Held Products, Inc. and Welch Allyn, Inc., Havens has significantly contributed to advancements in image reading technology. His collaborations with esteemed peers have further solidified his position as a pioneer in the field. The valuable work of inventors like William H Havens continues to shape our world, opening new avenues for technological growth and innovation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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