FTC × IntelliVision: a 'zero bias, millions of faces' AI claim, measured against NIST

The problem

IntelliVision Technologies Corp., a San Jose company, sold an AI-based facial recognition product to OEMs, integrators and large end users, with its software incorporated into consumer products sold by “its former parent corporation Nice North America, LLC” (source). Its software was embedded in the 2GIG Edge home security system and the Elan Intelligent Touch Panel, where, per the FTC’s complaint, “The software allows consumers to register their face and then scan their face to gain access to the system” (source).

“From late 2018 through early 2024” the company’s website advertised, among other claims, “Zero gender or racial bias through model training with millions of faces from datasets from around the world,” and in presentations to trade customers claimed “its facial recognition technology has one of the highest accuracy rates on the market” (source).

What was built

An artificial-intelligence-based facial recognition and anti-spoofing (liveness) system. The FTC complaint records that “Respondent submitted its facial recognition algorithms to NIST for testing at various points in 2019, 2022, and 2023” (source). That is what makes this case unusual: the vendor’s marketing claims can be checked against a government laboratory’s published evaluations of the vendor’s own submitted algorithms.

The outcome

This is an honest-negative. The measured outcome is the gap the regulator found, and the order it imposed.

On training data: about 100,000 people, not millions. The complaint states: “Respondent also did not train its facial recognition software on millions of faces” (source). Per the FTC’s December 2024 release, “the complaint alleges that IntelliVision did not train its facial recognition software on millions of faces, as it claimed, and instead trained its technology on images of approximately 100,000 unique individuals, and then used technology to create variants of those same images” (source). The independent trade press reports the same figure (source).

On accuracy and bias: not among the top 100 at NIST. The complaint says “The test results on NIST’s public website indicate that error rates for IntelliVision’s algorithms differed across different demographics, including region of birth and sex,” and that “in terms of false non-match rate Intellivision’s algorithms were not among the top 100 best performing algorithms tested by NIST as of December 19, 2023” (source). The FTC further alleges “Respondent does not possess testing to support its claims that its facial recognition technology has one of the highest accuracy rates on the market, that it can detect faces of all ethnicities without racial bias, or that it performs with zero gender or racial bias” (source).

The consequence: a 20-year conduct order. Decision and Order, Docket No. C-4809, records “ISSUED: January 8, 2025” (source); the final order was announced by the FTC in January 2025, and “After receiving no public comments, the Commission voted 5-0 to approve the final order” (source). The order “is final and effective upon the date of its publication on the Commission’s website (ftc.gov) as a final order,” and “will terminate 20 years from the date of its issuance” (source). It bars the accuracy, bias and spoof-detection misrepresentations and bars any such representation “unless Respondent possesses and relies upon competent and reliable testing that substantiates the representation at the time the representation is made” (source).

There is no fine. The order imposes no monetary relief. The $51,744 figure that circulates with this case is the FTC’s standard boilerplate maximum for a future violation of a final order, not a penalty assessed here: the December release states “Each violation of such an order may result in a civil penalty of up to $51,744” (source).

Posture. This is a settlement. The Decision and Order records that the consent agreement includes “statements by Respondent that it neither admits nor denies any of the allegations in the Complaint” (source). Every allegation-side figure above is the FTC’s, stated in its complaint.

As Samuel Levine, Director of the FTC’s Bureau of Consumer Protection, put it: “Companies shouldn’t be touting bias-free artificial intelligence systems unless they can back those claims up,” and “Those who develop and use AI systems are not exempt from basic deceptive advertising principles” (source).

How this was verified

This case carries a green badge under TIN’s documentary standard: independently validated by TIN against the public record. On 2026-08-12 every figure was re-fetched live from ftc.gov, from the signed complaint, the final Decision and Order (Docket C-4809, Matter 232-3023), and the two FTC press releases, and the training-set and NIST points were cross-checked against one independent trade-press secondary (Biometric Update, 3 December 2024). The subject of the story is the respondent, so there is no client-confirmation step and none is sought: green here rests entirely on the primary regulatory record. The honest limit: every allegation-side figure is the FTC’s stated allegation, and the respondent neither admitted nor denied it; the order is a settlement, not a litigated finding of fact.

Related case files

The same “claimed-versus-measured” gap in an FTC AI-accuracy case runs through Workado’s content detector, where a 98% advertised accuracy tested at 53%. For the facial-recognition angle specifically, Rite Aid’s five-year ban is the FTC’s other flagship facial-recognition order. And the Dutch DPA’s fine of Clearview AI shows a different regulator, on a different continent, holding facial-recognition claims to the public record rather than the vendor’s marketing.

Sources

Cited in this case file. Tier 1 = primary regulatory document (FTC complaint, Decision and Order, FTC press releases); Tier 2 = independent trade press. Each figure was re-checked against the live source on 2026-08-12.

1. FTC, “Complaint, In the Matter of IntelliVision Technologies Corp.” (Docket C-4809, Matter 232-3023) (Tier 1, primary; allegation-side). https://www.ftc.gov/system/files/ftc_gov/pdf/Complaint-IntellivisionTechCorp.pdf
2. FTC, “Decision and Order, Docket No. C-4809,” issued January 8, 2025 (Tier 1, primary). https://www.ftc.gov/system/files/ftc_gov/pdf/2323023c4809intellivisionfinalorder.pdf
3. FTC, “FTC Takes Action Against IntelliVision Technologies over Deceptive Claims About its Facial Recognition Software,” December 2024 (Tier 1, FTC press release). https://www.ftc.gov/news-events/news/press-releases/2024/12/ftc-takes-action-against-intellivision-technologies-deceptive-claims-about-its-facial-recognition
4. FTC, “FTC Finalizes Order Prohibiting IntelliVision from Making Deceptive Claims About its Facial Recognition Software,” January 2025 (Tier 1, FTC press release). https://www.ftc.gov/news-events/news/press-releases/2025/01/ftc-finalizes-order-prohibiting-intellivision-making-deceptive-claims-about-its-facial-recognition
5. Biometric Update, Chris Burt, “IntelliVision censured for misleading biometric accuracy and bias claims by FTC,” 3 December 2024 (Tier 2, independent trade press). https://www.biometricupdate.com/202412/intellivision-censured-for-misleading-biometric-accuracy-and-bias-claims-by-ftc