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OMNIQ gets patent for AI HOV system, $218M US market

OMNIQ Corp. secures a U.S. patent for AI-based HOV lane occupancy enforcement, citing a $218 million annual U.S. addressable market and live deployments.

(High)
(Neutral)
Form Type
8-K

Rhea-AI Filing Summary

OMNIQ Corp. (OMQS) reported that the U.S. Patent and Trademark Office granted U.S. Patent No. 12,633,155 B1 covering its AI-based vehicle occupancy detection system for high-occupancy vehicle (HOV) lane enforcement. The patent protects multiband infrared line-scan imaging and deep-learning methods that automatically count vehicle occupants at highway speeds and integrate with license plate recognition.

The company states that a representative deployment of this HOV enforcement technology could generate approximately $1.6 million in annual revenue. Based on comparable deployment opportunities, OMNIQ estimates a total annual U.S. addressable market of about $218 million, tied to roughly 136 addressable HOV and high-occupancy toll facilities out of 145 such facilities identified nationwide. The patented system is already deployed at two U.S. and one international site and builds on OMNIQ’s existing vehicle-recognition platform operating across thousands of sites in applications such as tolling, border crossings, airport rideshare operations, parking, and critical infrastructure access control.

Positive

  • New U.S. patent protects core AI occupancy-detection technology, strengthening OMNIQ’s intellectual property around automated HOV lane enforcement and potentially supporting differentiated offerings in an adjacent market to its existing vehicle-recognition business.
  • Large estimated U.S. addressable market of $218 million annually for HOV and high-occupancy toll enforcement, with a representative deployment modeled at about $1.6 million in yearly revenue, suggesting meaningful expansion potential if adoption scales.

Negative

  • None.
Item 7.01 Regulation FD Disclosure Disclosure
Material non-public information disclosed under Regulation Fair Disclosure, often investor presentations or guidance.
Item 9.01 Financial Statements and Exhibits Exhibits
Financial statements, pro forma financial information, or exhibit attachments filed with this report.
Patent number U.S. Patent No. 12,633,155 B1 HOV detection system using multiband line-scan imagery
Representative annual revenue per deployment $1.6 million Estimated annual revenue from a representative HOV enforcement deployment
Estimated annual U.S. addressable market $218 million Total annual U.S. market for HOV and high-occupancy toll enforcement
Addressable HOV and HOT facilities 136 facilities Estimated addressable facilities nationwide for OMNIQ’s HOV enforcement technology
Total HOV and HOT facilities identified 145 facilities Facilities identified by the Federal Highway Administration across the United States
Peak violation rate cited 39% Vehicles violating HOV lane rules during peak hours, as cited for California
Average violation rate range cited 19%–24% Estimated average violation rate in an HOV diamond lane during peak commute hours
Current occupancy-system deployments 3 sites Two U.S. and one international site using OMNIQ’s occupancy detection technology
high-occupancy vehicle (HOV) lane technical
"vehicle occupancy detection Used in High-Occupancy Vehicle (HOV) Lane Enforcement"
deep-learning networks technical
"Deep-learning networks then locate the vehicle's windows, identify faces"
license plate recognition (LPR) technical
"The system pairs the occupancy count with license plate recognition (LPR)"
addressable market financial
"the total annual U.S. addressable market is estimated at approximately $218 million"
Addressable market is the total possible demand for a product or service within a specific group of potential customers. It represents the maximum number of people or businesses that could buy it if the product were available and marketed to everyone who might want it. For investors, understanding the addressable market helps gauge the growth potential and size of the opportunity for a business or industry.
machine vision technical
"Our machine vision platform is already counting, identifying, and classifying vehicles"
Machine vision is technology that allows computers and machines to see, interpret, and analyze visual information from the world, much like how human eyes and brains work together. It enables automated systems to recognize objects, read signs, or inspect products without human help. For investors, machine vision is important because it drives advancements in automation and artificial intelligence, influencing industries and business efficiency.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What patent did OMNIQ Corp. (OMQS) announce receiving in this 8-K?

OMNIQ announced that it received U.S. Patent No. 12,633,155 B1, titled “HOV detection system using multiband line-scan imagery.” The patent covers methods and systems that automatically determine the number of occupants inside moving vehicles for high-occupancy vehicle (HOV) lane enforcement.

How large is the addressable market OMNIQ (OMQS) cites for its HOV enforcement technology?

OMNIQ estimates the total annual U.S. addressable market for its patented HOV enforcement technology at approximately $218 million, based on about 136 addressable HOV and high-occupancy toll facilities nationwide after excluding legally restricted jurisdictions.

What revenue does OMNIQ (OMQS) project for a representative HOV enforcement deployment?

OMNIQ states that a representative deployment of its patented HOV enforcement technology could generate approximately $1.6 million in annual revenue, illustrating the potential economic contribution per installation if the system is adopted by transportation agencies.

Is OMNIQ’s new occupancy-detection technology already deployed in live environments?

Yes. OMNIQ reports that the patented occupancy-detection technology is already deployed at two active U.S. sites and one international site, providing real-world validation of performance under live traffic conditions.

How does the OMNIQ (OMQS) HOV system determine vehicle occupancy?

As vehicles cross a detection line, cameras capture line-scan images in two infrared bands. Differences in infrared reflection between human skin and interiors increase face contrast. Deep-learning networks then locate windows, identify faces, validate counts from multiple views, and pair results with license plate recognition.

What privacy measures does OMNIQ mention for its HOV enforcement solution?

OMNIQ states that evidentiary images have occupants’ faces blurred, data is processed and stored on a private network, access is limited to authorized agency personnel, retention follows agency policy and state law, and OMNIQ does not sell plate data or share it for commercial purposes.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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FalseNONE000027816500002781652026-09-152026-09-15iso4217:USDxbrli:sharesiso4217:USDxbrli:shares
 

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

_________________

FORM 8-K

_________________

CURRENT REPORT

Pursuant to Section 13 or 15(d)
of the Securities Exchange Act of 1934

Date of Report (Date of earliest event reported):  September 15, 2026

_______________________________

OMNIQ CORP.

(Exact name of registrant as specified in its charter)

_______________________________

Delaware001-4076820-3454263
(State or Other Jurisdiction of Incorporation)(Commission File Number)(I.R.S. Employer Identification No.)

696 West Confluence Ave.

Murray, UT 84123

(Address of Principal Executive Offices) (Zip Code)

(801) 242-7272

(Registrant's telephone number, including area code)

N/A

(Former name or former address, if changed since last report)

_______________________________

Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:

Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425)
Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)
Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))
Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4(c))

Securities registered pursuant to Section 12(b) of the Act:

Title of each classTrading Symbol(s)Name of each exchange on which registered
Common Stock, par value $0.001OMQSOTC

Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).

Emerging growth company

If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ☐

 
 
Item 7.01. Regulation FD Disclosure.

 

On September 15, 2026, OMNIQ Corp. (the “Company”) the Registrant issued a press release, a copy of which is attached hereto as Exhibit 99.1 and is incorporated herein by reference.

 

Item 9.01. Financial Statements and Exhibits.

 

(d) Exhibits

 

Exhibit Number Description
   
99.1 Press Release dated September 15, 2026
104 Cover Page Interactive Data File (embedded within the Inline XBRL document)
 
 

SIGNATURE

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.

 OMNIQ CORP.
   
  
Date: September 15, 2026By: /s/ Shai Lustgarten        
  Shai Lustgarten
  Chief Executive Officer, Interim Chief Financial Officer and Chairman of the Board
  

 

EXHIBIT 99.1

OMNIQ Receives U.S. Patent for AI-Based Vehicle Occupancy Detection Used in High-Occupancy Vehicle (HOV) Lane Enforcement

Patent No. US 12,633,155 B1 covers deep-learning methods that automatically count vehicle occupants at highway speed, addressing a long-standing enforcement gap for transportation agencies

SALT LAKE CITY, Sept. 15, 2026 (GLOBE NEWSWIRE) -- OMNIQ CORP. (OTCQB: OMQS) ("OMNIQ" or the "Company"), a leading provider of AI-based computer vision solutions, today announced that the U.S. Patent and Trademark Office has granted U.S. Patent No. 12,633,155 B1, titled "HOV detection system using multiband line-scan imagery." The application was originally filed in 2020 and names OMNIQ’s Yoram Hofman as inventor.

The patent covers methods and systems for automatically determining the number of occupants inside a moving vehicle. As a vehicle crosses a detection line, roadside cameras capture line-scan images in two separate infrared bands. Because human skin reflects infrared light differently than vehicle interiors, seats, and clothing, comparing the two bands increases contrast on occupants' faces. Deep-learning networks then locate the vehicle's windows, identify faces within them, and validate the count across front and side views. The system pairs the occupancy count with license plate recognition (LPR) and, consistent with privacy requirements, blurs occupants' faces in the evidentiary images it produces.

Economic Context

A representative deployment of the Company’s patented HOV enforcement technology could generate approximately $1.6 million in annual revenue. Based on the Company’s assessment of comparable deployment opportunities nationwide, the total annual U.S. addressable market is estimated at approximately $218 million. The estimate is based on approximately 136 addressable HOV and high occupancy toll facilities nationwide, after excluding jurisdictions where automated vehicle occupancy enforcement is legally restricted. The Federal Highway Administration identified 145 HOV and high occupancy toll facilities across the United States, providing an established infrastructure base for potential deployment.

"Our machine vision platform is already counting, identifying, and classifying vehicles in the field every day. This patent protects the next layer, seeing accurately inside the vehicle, at speed, day or night," said Shai Lustgarten, CEO of OMNIQ. "Agencies have been asking for a reliable way to enforce occupancy requirements without putting officers on the shoulder of a freeway. We believe the methods protected by this patent are a credible answer, and we intend to continue investing in the intellectual property that differentiates our technology."

The problem it addresses

HOV, carpool, and express lanes are among the primary tools transportation agencies use to manage congestion without building new road capacity. Their effectiveness depends on compliance, and compliance is difficult to enforce. Manual enforcement requires an officer to visually count occupants in vehicles traveling at highway speed, then execute a traffic stop, frequently on a shoulder with limited safe pull-off space.

The consequences are measurable. As cited in the patent's background, the California Highway Patrol has indicated violation rates reaching as much as 39% of vehicles in a diamond lane during peak commute hours, with local transportation experts estimating an average of 19% to 24%. Every violating vehicle represents both degraded travel-time performance for compliant carpoolers and, on tolled express lanes, uncollected revenue.

Occupancy verification is also a requirement adjacent to markets that OMNIQ already serves, including tolling, border crossings, airport curbside and rideshare management, and controlled-access facilities, all of which rely on the same underlying vehicle-recognition stack.

How OMNIQ uses the technology today

The occupancy-detection methods build directly on the machine vision platform OMNIQ has deployed commercially. OMNIQ’s vehicle recognition technology, which identifies license plate, make, color, and state, is in service across thousands of sites in the United States and three sites globally, in applications including toll roads and border crossings, airport rideshare and curbside operations, law enforcement, gateless parking, and critical infrastructure access control.

The patented occupancy detection technology is already deployed at two active U.S. and one international site. These deployments provide real-world validation of the technology under live traffic conditions.

ABOUT OMNIQ
OMNIQ CORP. (or omniQ) uses patented and proprietary artificial intelligence (AI) technology to deliver machine vision image processing solutions, including data collection, real-time surveillance, and monitoring for supply chain management, homeland security, public safety, traffic & parking management, and access control applications.

The technology and services we provide help our clients move people, assets, and data safely and securely through airports, warehouses, schools, national borders, and many other applications and environments.

Our principal solutions include hardware, software, communications, automated management services, technical services, and support. Our highly tenured team of professionals has the knowledge and expertise to simplify the integration process for our customers. We deliver practical problem-solving solutions backed by numerous customer references.

Privacy and Data Security Commitment

OMNIQ solutions are built to meet the privacy and data protection requirements of the agencies that use them. Data is processed and stored in a private network, and access is limited to authorized personnel at the contracting agency. Data is retained and purged according to the agency’s policy and applicable state law. OMNIQ does not sell plate data or share it with third parties for commercial purposes.

For more information about OMNIQ Corp. and its innovative solutions, please visit www.omniq.com.

INFORMATION ABOUT FORWARD LOOKING STATEMENTS

“Safe Harbor” Statement under the Private Securities Litigation Reform Act of 1995. Statements in this press release relating to plans, strategies, economic performance and trends, projections of results of specific activities or investments, and other statements that are not descriptions of historical facts may be forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934.

This release contains “forward-looking statements” that include information relating to future events and future financial and operating performance. The words “anticipate,” “may,” “would,” “will,” “expect,” “estimate,” “can,” “believe,” “potential” and similar expressions and variations thereof are intended to identify forward-looking statements. Forward-looking statements should not be read as a guarantee of future performance or results and will not necessarily be accurate indications of the times at, or by, which that performance or those results will be achieved. Forward-looking statements are based on information available at the time they are made and/or management’s good faith belief as of that time with respect to future events and are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in or suggested by the forward-looking statements.

Important factors that could cause these differences include, but are not limited to: fluctuations in demand for the Company’s products, the introduction of new products, the Company’s ability to maintain customer and strategic business relationships, the impact of competitive products and pricing, growth in targeted markets, the adequacy of the Company’s liquidity and financial strength to support its growth, the Company’s ability to manage credit and debt structures from vendors, debt holders and secured lenders, the Company’s ability to successfully integrate its acquisitions, and other information that may be detailed from time-to-time in OMNIQ Corp.’s filings with the United States Securities and Exchange Commission. Examples of such forward-looking statements in this release include, among others, statements regarding revenue growth, driving sales, operational and financial initiatives, cost reduction and profitability, and simplification of operations. For a more detailed description of the risk factors and uncertainties affecting OMNIQ Corp., please refer to the Company’s recent Securities and Exchange Commission filings, which are available at SEC.gov. OMNIQ Corp. undertakes no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, unless otherwise required by law.

Contact

Company

IR@OMNIQ.COM

HAYDEN IR:
Brett Maas
(646) 536-7331
brett@haydenir.com

James Carbonara
(646)-755-7412
james@haydenir.com

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