Omniq (OMQS) investor relations material

Technology and applications

• Patented machine-vision AI uses 10 algorithm patents, with an 11th expected in about a month; the system detects objects, identifies them, then triggers use-case-specific actions.

• The three-step process runs in 100 milliseconds; the presenter said the system commits to 97% off-the-shelf accuracy and can identify vehicles using multiple attributes beyond license plates.

• Applications span public safety, border protection, airports, enterprise sites and mobile law enforcement; 67 airports were reported as users, including LaGuardia and Los Angeles Airport.

• Q Shield connects camera detections with government and police databases to generate alerts; an Adrian deployment reportedly identified all vehicles passing one intersection and helped resolve a missing-person murder case in its first week.

Q Shield business model and growth plans

• In participating cities, citations for unregistered vehicles generate an average 50% revenue share; Watkinsville was cited at $350,000 in revenue share, with a 100-city scenario estimated at $35 million.

• The presenter said the model generated $5 million today and could reach $35 million at 100 cities; ROI was stated as one to three months.

• After operating in five cities, the plan was to reach 10 in a few months, expand to 50 quickly and reach 100 by mid-next year at the latest; the longer-term goal is 1,000 or more cities.

• Deployment footprint was also described as 10 cities, 67 airports and schools, with 22 cities in the pipeline; additional sales investment is planned following pilot completion and R&D spending.

• Recurring revenue rose from 0% to 30%; revenue share was forecast to reach 40%-50% of revenue next year, conservatively.

Product expansion and data opportunities

• Additional capabilities developed include insurance, seat-belt and cell-phone-use violations, plus machine-vision speed detection; implementation and analytics opportunities remain under development.

• Hospital and K-12 deployments were cited; the presenter said the system had demonstrated at least 70% shooting prevention through proactive alerts.

• The platform processes millions of vehicle detections and identifications per week, according to the presenter; work with the U.S. government has opened another opportunity.