Face ID · Inventer Technology

A face, turned into a signal.

Facial recognition using the camera your devices already have. Face ID combines artificial intelligence and vector search to bring recognition into web and mobile experiences, without specialized biometric hardware.

WebMobileBuilt-in camera
CameraVector representation
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One camera is enough

Facial recognition inside the experience you've already built.

Face ID uses the camera already available on the device to capture a facial representation your system can compare against previously authorized references. The flow can adapt to registration, access, or confirmation, according to each product's rules.

A new signal for your product. The decision is still yours.

From image to result

Four moments.
One decision, always under your control.

  1. 01

    Authorized capture

    The experience requests camera access through an action that's visible and understandable to the person.

  2. 02

    Vector representation

    The model processes the image and turns relevant features into a mathematical representation the system can use.

  3. 03

    Contextual search

    The vector database compares that representation against the references available for the defined purpose.

  4. 04

    A response for your product

    The application receives a result and applies its own rules: continue, request another step, or send the case for review.

Where the interaction already happens

The camera is already there.

Integrate facial recognition without adding readers, terminals, or specialized biometric sensors. The experience lives inside the channels your organization already operates.

Web

Capture inside a compatible browser.

Mobile

Continuity inside the app.

01

On the web

Start the capture within an explicit flow for the person.

02

On mobile

Keep continuity with your product's language and states.

03

On both

Account for permissions, capture conditions, retries, and alternatives.

Experiences

Use it as a signal,
not as a promise.

Facial recognition can play a part in different moments of the product. Its role and weight in each decision should match the risk and the organization's policies.

01

Registration and enrollment

Link a facial reference to the process your organization defines.

02

Access and recovery

Add a facial check as part of a broader authentication flow.

03

Operation confirmation

Request extra validation before executing a sensitive action.

04

Personalized experiences

Recognize continuity when the use case and data policy allow it.

Privacy and governance

A face isn't
just another data point.

Biometric information requires explicit decisions about purpose, authorization, access, retention, and deletion. These controls must be defined before taking a recognition experience to production.

01

Purpose before capture

Explain what the recognition will be used for before requesting camera access.

02

One visible action

Capture should happen within a flow that's clear, deliberate, and understandable to the person.

03

Defined retention

Document what is stored — images, vectors, and metadata — for how long, and who can access it.

04

Vectors under control

A vector representation still requires security and governance controls. It shouldn't be treated as anonymous by default.

05

An alternative path

If the capture can't be completed or the result isn't conclusive, offer another way to continue.

06

Real-world conditions

Validate behavior against the cameras, lighting, and user diversity present in the actual environment.

The alternative is also part of the experience.

If recognition can't be completed, the person needs another way to continue.

The legal basis, applicable consent, and regulatory obligations depend on country, sector, and purpose. Each implementation must review them before production.

Integration

AI delivers a signal.
Your product keeps the decision.

Face ID can integrate as a capability inside your architecture. The application controls when to request the camera, which references to query, and how to act on the result.

01Camera
02Processing
03Vector
04Search
05Result

The implementation should define thresholds, error handling, retries, event logging, and review paths based on the flow's risk.

Review an integration case

Face ID by Inventer

Facial recognition without adding another piece of hardware.

Let's design an experience aligned with your product, your users, and your data policies.Let's talk