SBIR/STTR Research Award

Rapid, Portable, Surface Texture Based Component Classifier (RAPSTEC) System

Award identifier 77fb6eb54c6c88c090be6869f6de26cb664ede66957dea256e2a47be296f2b73Awarding agency Department of Defense · Defense Microelectronics Activity

Award amount

$1,699,887

Program and phase

SBIR · Phase II

Award year

2024

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Defense Microelectronics Activity
Recipient company
CHROMOLOGIC LLC
Proposal award date
2023-12-15
Contract end date
2026-01-07
UEI
D9EVNTKKWLF3
Solicitation number
19.2
Topic code
DMEA192-002

Research abstract

In order to address these urgent DOD needs, ChromoLogic LLC (CLL) has developed (TRL 6) a Rapid, portable, surface texture based component classifier (RAPSTEC) system that will rely on a machine learning based algorithm to instantly identify a) if a microelectronic component has been re-marked, which is the most common form of microelectronic counterfeiting and/or b) if the component is a clone that was not produced by the original component manufacturer (OCM) and c) create a virtual tag (vTag®) for each component extracted from a PCB so that it can be accurately be re-populated. RAPSTEC leverages the fact that all components, at the micrometer scale, have unique and random surface texture that is intrinsic, immutable, unforgeable and covert. The surface texture of a component, while completely random and unique to the part itself, also represents the manufacturing process (such as the injection mold or polishing technique) that was used to produce the part. These features, because they are at a micrometer scale, cannot be replicated. We have exploited this fundamental fact of nature and developed a range of commercial products based on our patented (Characterization of a Physical Object based on its Surface Roughness, US 10,341,555) hardware platform that uses surface texture to a) uniquely fingerprint a component and/or b) determine if a components surface has been modified. These products are available through our wholly owned subsidiary, Covisus Inc. (www.covisus.com).

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

93 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $49,103,552. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.