SPARC AI Enables Pixel-Level Geolocation from Any Image

Rhea-AI Summary

SPARC AI (OTCQB: SPAIF) on Dec 02, 2025 announced completion of a pixel-level target acquisition capability within its Overwatch platform that calculates latitude/longitude and military MGRS coordinates for any pixel in a still image.

The Image Targeting module performs real-time distance and precise geolocation for the drone, capture point, and distant objects using the company’s reverse geolocation lookup technology, described as a secured part of its patent portfolio.

Testing showed the system can estimate object height from a single image (example: building 13.62 m tall at 318 m distance while the drone was 60 m AGL). The company positions this as enabling image-only geolocation and operations without GPS or external sensors.

Positive

• Completed pixel-level geolocation capability in Overwatch
• Example test: object height 13.62 m measured at 318 m distance
• Includes reverse geolocation technology claimed as patented

Negative

• None.

VANCOUVER, British Columbia, Dec. 02, 2025 (GLOBE NEWSWIRE) -- SPARC AI Inc. (the “Company”) (CSE: SPAI) (OTCQB: SPAIF) (Frankfurt: 5OV0) SPARC AI has completed development of its pixel-level target acquisition system, a capability in its Overwatch platform that allows users to calculate the latitude/longitude and military MGRS coordinates of any pixel in a still image.

Within the Image Targeting module, selecting any point on the image triggers real-time calculations of both distance and precise geolocation, not only of the drone’s position and capture point, but of any pixel in the image, including objects located far in the distance. These calculations are enabled by SPARC AI’s reverse geolocation lookup technology, a secured component of the company’s patent portfolio, which determines the coordinates of any point within the image frame.

You can see a video demonstration here:
https://sparcai.co/pixel-level-target-acquisition

Testing further demonstrated that object height can be calculated from a single image using the same underlying algorithms. In one scenario, the system measured a building at 13.62 meters in height located 318 meters from a drone operating at 60 meters above ground level.

There are various implications of image-only workflows in remote or signal-denied environments. Field personnel could capture and transmit standard photographs, enabling mission control or analysts to identify both the operator’s position and the location coordinates of observed objects. This process effectively converts ordinary images into spatially referenced data without requiring additional hardware.

This development mark progress toward the company’s goal of enabling any operator or device to geolocate, navigate, and operate without reliance on GPS, lidar, radar, or external sensors.

About SPARC AI Inc.

SPARC AI Inc. develops next-generation, GPS-free target acquisition and intelligence software for drones and edge devices. Its zero-signature technology delivers real-time detection, tracking, and behavioral insights without reliance on radar, lidar, or heavy sensors. SPARC AI’s flagship platform, provides defence, rescue, first responders, and commercial operators with unmatched situational awareness. The Company is committed to building a scalable software platform that defines the future of drone intelligence globally.

For further information contact:

Anoosh Manzoori, Chief Executive Officer

SPARC AI Inc.

E-mail: anoosh@sparcai.net
Web: www.sparcai.co
Tel: (213) 459-3994

Cautionary Statement Regarding Forward-Looking Statements

This news release contains “forward-looking statements” or “forward-looking information” (collectively, “forward-looking statements”) within the meaning of applicable securities legislation. All statements, other than statements of historical fact, are forward-looking statements and are based on expectations, estimates and projections as of the date of this news release. Forward-looking statements include, but are not limited to, statements regarding: the expected timing for completion of the Offering and the intended use of proceeds.

Forward-looking statements are subject to a variety of known and unknown risks, uncertainties and other factors that could cause actual events or results to differ from those expressed or implied by forward-looking statements contained herein. There can be no assurance that such statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Certain important factors that could cause actual results, performance or achievements to differ materially from those in the forward-looking statements are highlighted in the “Risks and Uncertainties” in the Company’s management discussion and analysis.

Forward-looking statements are based upon a number of estimates and assumptions that, while considered reasonable by the Company at this time, are inherently subject to significant business, economic and competitive uncertainties and contingencies that may cause the Company’s actual financial results, performance, or achievements to be materially different from those expressed or implied herein. Some of the material factors or assumptions used to develop forward-looking statements include, without limitation: the failure to complete the Offering; reliance on key management and other personnel; potential downturns in economic conditions; competition from others; market factors, including future demand products developed by the Company; the policies and actions of foreign governments, which could impact the ability of the Company to successfully market its products; the Company’s expectations in connection with the development of the Target Acquisition System; the effectiveness of the Target Acquisition System; changes in national and local government legislation, taxation, controls or regulations and/or changes in the administration or laws, policies and practices; the impact of general business and economic conditions; currency exchange rates; and the impact of inflation.

The forward-looking statements contained in this news release are expressly qualified by this cautionary statement. Any forward-looking statements and the assumptions made with respect thereto are made as of the date of this news release and, accordingly, are subject to change after such date. The Company disclaims any obligation to update any forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required by applicable securities laws. There can be no assurance that forward-looking statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking statements.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8087e08b-bfd7-4ec6-a633-46da54630196

FAQ

What does SPARC AI (SPAIF) announce on December 2, 2025 regarding geolocation?

SPARC AI announced completion of a pixel-level target acquisition capability that computes lat/long and MGRS coordinates for any pixel in a still image.

How accurate was SPARC AI's test measurement in the December 2025 demo?

The release reports a test where the system measured a building at 13.62 m height located 318 m from a drone flying at 60 m above ground level.

Can SPARC AI's Overwatch module geolocate objects without GPS or sensors?

Yes; the company says the Image Targeting module converts ordinary images into spatially referenced data without requiring GPS, lidar, radar, or external sensors.

What technology enables SPARC AI's pixel-level geolocation (SPAIF)?

The capability is enabled by SPARC AI’s reverse geolocation lookup technology, described as a secured component of its patent portfolio.

Does SPARC AI provide a demonstration of the pixel-level targeting feature?

The company links to a video demonstration of the pixel-level target acquisition feature on its website.

How might SPARC AI's image-only workflow affect field operations for SPAIF customers?

Field personnel could capture standard photos and send them to mission control to identify operator position and object coordinates in signal-denied or remote environments.