Smartphone screen showing a video‑doorbell app with a notification labeling a visitor as a familiar face

It’s Called ‘Familiar Faces,’ and Major Video Doorbell Companies Are Getting Sued for It

Major video‑doorbell makers have rolled out a feature called “Familiar Faces” that automatically tags known visitors, and consumers are now facing lawsuits that argue the technology crosses a line into unlawful surveillance.

How “Familiar Faces” Identifies People

The feature relies on cloud‑based facial‑recognition algorithms that compare live video frames to a stored library of faces the user has previously labeled. When a match occurs, the app pushes a notification identifying the person, often without a clear audit trail of who accessed the data. This workflow means every captured image is uploaded, processed, and potentially retained by the company’s servers.

Because the analysis happens off‑device, the data leaves the homeowner’s network and enters a corporate environment where it can be combined with other identifiers, such as purchase history or location data. The result is a profile that can reveal patterns of movement and social connections far beyond the original purpose of a doorbell.

Legal Pushback and Privacy Law Context

Google and Amazon, among others, are now defendants in lawsuits alleging that “Familiar Faces” violates state privacy statutes that require explicit consent before biometric data is collected. Plaintiffs argue that the companies failed to obtain informed permission for each facial scan, treating the technology as a default rather than an opt‑in service. The suits cite precedents where courts have ruled that biometric identifiers are “sensitive personal information” under laws such as Illinois’ Biometric Information Privacy Act.

Beyond state statutes, the litigation raises questions about the applicability of the Federal Trade Commission’s unfair‑or‑deceptive practices standard. If the companies marketed the feature as a convenience while downplaying the data‑sharing implications, regulators could deem the practice unfair. The outcomes of these cases may set a benchmark for how emerging AI‑driven home devices must disclose and safeguard biometric data.

Consumer Trust and the Future of Home Surveillance

The controversy spotlights a broader tension: the convenience of automated recognition versus the erosion of privacy in everyday spaces. When a doorbell can label a neighbor, a delivery driver, or a passerby, the line between public and private observation blurs, potentially chilling normal social interactions. Users may begin to question whether any camera in their home is truly under their control.

Industry analysts warn that repeated legal challenges could force a redesign of how edge devices handle biometric data, shifting processing back to the local hardware to limit exposure. Such a shift would preserve functionality while reducing the risk of large‑scale data breaches that have plagued other cloud‑centric services. The lawsuits therefore act as a catalyst for re‑examining the architecture of smart‑home privacy.

What This Actually Means For You

  1. Expect clearer consent prompts: Companies will likely be required to ask you explicitly before any facial image is uploaded for analysis.
  2. Monitor app permissions: Regularly review which features have access to your camera and biometric data, and disable those you do not need.
  3. Consider local‑processing alternatives: If available, choose devices that keep facial matching on the device rather than in the cloud.
  4. Stay informed about legal developments: Court rulings may affect the warranties and privacy policies of the devices you already own.
  5. Document any unexpected notifications: Keeping a record can support future claims if you believe your biometric data was used without consent.

Immediate Action Steps

Open the settings of any video‑doorbell app you use and locate the facial‑recognition or “Familiar Faces” toggle; turn it off if you are uncomfortable with automatic identification. Next, review the privacy policy for explicit statements about data storage, sharing, and deletion, and contact support to request removal of any stored facial templates.

Frequently Asked Questions

What is the “Familiar Faces” feature and how does it work?

“Familiar Faces” is a cloud‑based facial‑recognition service that matches live video from a doorbell camera to a user‑provided library of faces, then notifies the homeowner of the identified person.

Why are Google and Amazon being sued over this technology?

They are accused of collecting and processing biometric data without the explicit, informed consent required by state privacy laws, turning a convenience feature into an alleged privacy violation.

Can I disable facial recognition on my video doorbell?

Yes; most manufacturers provide a setting in the companion app to turn off “Familiar Faces” or similar biometric features, preventing images from being sent to the cloud for analysis.

What Do You Think?

Should the convenience of instant visitor identification outweigh the risk of turning your front porch into a biometric data collector?

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