SUALAB Trademark

Trademark Overview

On Thursday, January 9, 2020, a trademark application was filed for SUALAB with the United States Patent and Trademark Office. The USPTO has given the SUALAB trademark a serial number of 88752913. The federal status of this trademark filing is ABANDONED - NO STATEMENT OF USE FILED as of Monday, September 2, 2024. This trademark is owned by Cognex Corporation. The SUALAB trademark is filed in the Computer & Software Products & Electrical & Scientific Products category with the following description:

Downloadable and recorded computer software for acquiring, processing, analyzing and contextually understanding digital images and extracting specific requested visual data through the use of artificial intelligence and machine learning; downloadable and recorded computer software for read, identify and analyze various types of codes and images through the use of industrial machine vision, machine learning, deep learning, artificial intelligence; downloadable applications for read, identify and analyze various types of codes and images using deep learning, algorithm-based machine learning, machine vision, and imaging-based automatic inspection and analysis technologies in manufacturing, industrial, logistical, engineering and factory applications
sualab

General Information

Serial Number88752913
Word MarkSUALAB
Filing DateThursday, January 9, 2020
Status606 - ABANDONED - NO STATEMENT OF USE FILED
Status DateMonday, September 2, 2024
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateTuesday, June 1, 2021

Trademark Statements

Goods and ServicesDownloadable and recorded computer software for acquiring, processing, analyzing and contextually understanding digital images and extracting specific requested visual data through the use of artificial intelligence and machine learning; downloadable and recorded computer software for read, identify and analyze various types of codes and images through the use of industrial machine vision, machine learning, deep learning, artificial intelligence; downloadable applications for read, identify and analyze various types of codes and images using deep learning, algorithm-based machine learning, machine vision, and imaging-based automatic inspection and analysis technologies in manufacturing, industrial, logistical, engineering and factory applications

Classification Information

International Class009 - Scientific, nautical, surveying, photographic, cinematographic, optical, weighing, measuring, signalling, checking (supervision), life-saving and teaching apparatus and instruments; apparatus and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity; apparatus for recording, transmission or reproduction of sound or images; magnetic data carriers, recording discs; automatic vending machines and mechanisms for coin operated apparatus; cash registers, calculating machines, data processing equipment and computers; fire extinguishing apparatus.
US Class Codes021, 023, 026, 036, 038
Class Status Code6 - Active
Class Status DateTuesday, January 14, 2020
Primary Code009
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History

Party NameCognex Corporation
Party Type20 - Owner at Publication
Legal Entity Type03 - Corporation
AddressNATICK, MA 01760
Party NameCognex Corporation
Party Type10 - Original Applicant
Legal Entity Type03 - Corporation
AddressNATICK, MA 01760

Trademark Events

Event DateEvent Description
Monday, March 30, 2020NON-FINAL ACTION E-MAILED
Monday, January 13, 2020NEW APPLICATION ENTERED
Tuesday, January 14, 2020NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Friday, March 27, 2020ASSIGNED TO EXAMINER
Monday, March 30, 2020NON-FINAL ACTION WRITTEN
Monday, March 30, 2020NOTIFICATION OF NON-FINAL ACTION E-MAILED
Friday, October 16, 2020ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
Friday, October 16, 2020ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
Wednesday, December 16, 2020TEAS PETITION TO REVIVE RECEIVED
Wednesday, December 16, 2020PETITION TO REVIVE-GRANTED
Wednesday, December 16, 2020TEAS RESPONSE TO OFFICE ACTION RECEIVED
Thursday, December 17, 2020NOTICE OF REVIVAL - E-MAILED
Friday, March 19, 2021ASSIGNED TO LIE
Tuesday, March 23, 2021CORRESPONDENCE RECEIVED IN LAW OFFICE
Tuesday, March 23, 2021TEAS/EMAIL CORRESPONDENCE ENTERED
Wednesday, April 28, 2021APPROVED FOR PUB - PRINCIPAL REGISTER
Wednesday, May 12, 2021NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Tuesday, June 1, 2021PUBLISHED FOR OPPOSITION
Tuesday, June 1, 2021OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Tuesday, July 27, 2021NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Wednesday, January 26, 2022SOU TEAS EXTENSION RECEIVED
Wednesday, January 26, 2022SOU EXTENSION 1 FILED
Wednesday, January 26, 2022SOU EXTENSION 1 GRANTED
Friday, January 28, 2022NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Monday, July 25, 2022SOU TEAS EXTENSION RECEIVED
Monday, July 25, 2022SOU EXTENSION 2 FILED
Monday, July 25, 2022SOU EXTENSION 2 GRANTED
Wednesday, July 27, 2022NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Friday, January 27, 2023SOU TEAS EXTENSION RECEIVED
Friday, January 27, 2023SOU EXTENSION 3 FILED
Friday, January 27, 2023SOU EXTENSION 3 GRANTED
Tuesday, January 31, 2023NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Thursday, July 27, 2023SOU TEAS EXTENSION RECEIVED
Thursday, July 27, 2023SOU EXTENSION 4 FILED
Thursday, July 27, 2023SOU EXTENSION 4 GRANTED
Saturday, July 29, 2023NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Monday, January 29, 2024SOU TEAS EXTENSION RECEIVED
Monday, January 29, 2024SOU EXTENSION 5 FILED
Friday, February 9, 2024CASE ASSIGNED TO INTENT TO USE PARALEGAL
Friday, February 9, 2024SOU EXTENSION 5 GRANTED
Saturday, February 10, 2024NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Monday, September 2, 2024ABANDONMENT - NO USE STATEMENT FILED
Monday, September 2, 2024ABANDONMENT NOTICE E-MAILED - NO USE STATEMENT FILED

Related Keywords

sualab machine learning images downloadable analyze various identify intelligence types applications