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ADMINISTRATIVE INFORMATION    

Title
AIDC 100 Archive - Kevin Berisso Collection

Collection Number
SC 450

Creator 
Kevin Berisso

Provenance 
Kevin Berisso granted Stony Brook University Libraries permission to add his white paper to DSpace, the libraries' digital repository, in July 2013.

Extent, Scope, and Content Note 
The collection is comprised of a six page research paper (pdf and a paper edition) titled: "Designer QR Codes: Ensuring the 'Beep'" (White Paper), by Kevin Berisso (Spring 2013). A hardcopy was created by Special Collections. The electronic version has been deposited in Stony Brook University's community within the SUNY (State University of New York) digital repsoitory, DSpace.

Arrangement and Processing Note
Processed by Kristen J. Nyitray in July 2013. Finding aid updated in April 2019.

Language
English

Restrictions on Access
The collection is open to researchers without restriction.

Rights and Permissions 

Stony Brook University Libraries' consent to access as the physical owner of the collection does not address copyright issues that may affect publication rights. It is the sole responsibility of the user of Special Collections and University Archives materials to investigate the copyright status of any given work and to seek and obtain permission where needed prior to publication.  

Citation 
[Item], [Box], Kevin Berisso Collection, Special Collections and University Archives, Stony Brook University Libraries.

Historical Note
"Kevin Berisso has over 15 years of experience in the AIDC industry, starting as a project engineer at a custom warehouse management software company. He is currently the director of the AIDC Lab at Ohio University, where he is involved in bar code and RFID research as well as teaching both an AIDC class, a RFID class and computer programming class. In addition to his educational duties, Dr. Berisso has developed numerous software packages - both off the shelf solutions and customs applications. He has also worked as a manufacturing engineer at Delphi Automotive, providing for a well rounded understanding of both the business side AND the production side of many applications. He is an active member of the AIM Global Technical Symbology Committee (TSC), the AIM Internet of Things committee, participates in the GS1 BCID Technical Group and received the 2012 Ted Williams Award from AIM Global which is "presented annually to a professor or student in recognition of innovative and exceptional contributions that can further the growth of the industry through their work as a teacher, researcher and entrepreneur." (Source: Ohio University, Russ College of Engineering and Technology)

Subjects
Automatic identification and data capture
QR codes.
Mobile communication systems.
System identification.  
Automatic data collection systems.

INVENTORY

"Designer QR Codes: Ensuring the 'Beep'" (White Paper). Spring 2013.
6 pages.

Abstract: QR Codes are experiencing a continuing increase in use. On everything from pizzas to billboards, QR Codes can be found on all sorts of items and products. With increased use, the concept of designer QR Codes – QR Codes that have been graphically altered to make them more graphically appealing – has taken root. By using a percentage of the built in error correction capability, graphic designers are able to alter the structure of the QR Code while still allowing it to be scanned. The problem is that not all designer QR Codes are created equal. Due to a lack of understanding of how QR Codes actually work, designers are confronted with advice, often online, that implies that anything from a slight color change up through the complete redesign of the QR Code will work. This white paper has been developed to help address these very concerns. It will not try to address the various implementation issues such as including a call for action or the need for ensuring that any embedded URLs direct to mobile enabled sites. Instead the focus is on what sort of design modifications can be made while still ensuring the maximum number of people will be able to scan the symbol. The research, conducted by Ohio University’s AIDC Lab which is a part of the Russ College of Engineering and Technology, investigated the read rate (the percentage of people who were able to scan a given code) of various types of designer QR Codes.