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FACEOS (PRO)
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FaceOS (Pro)

Published December 2025
   β€’    Updated January 2026

Plugin details

FaceOS Pro transforms your Bubble app into an AI-powered security and analytics platform. It runs advanced Neural Networks locally in the browser to identify who is looking at the camera and how they are feeling.
πŸ”₯ Pro Capabilities:

πŸ†” Facial Recognition: Match faces against your own Bubble database (Users) for biometric login. High-precision matching using Euclidean distance.

πŸ“Š Demographics: Instantly estimate Age and Gender for retail analytics or targeted ads.

🎭 Emotion Analysis: Detects: Happy, Sad, Angry, Fearful, Disgusted, Surprised, Neutral.

πŸ“Έ Security Snapshots: Capture Base64 images of the user at the exact moment of recognition for audit logs.

πŸ“± Mobile Ready: Includes Front/Back Camera Switching actions for Kiosks or Selfies.

πŸ’‘ Key Workflows:

  - Biometric Login: Load User Descriptors -> Recognize Face -> Log User In.

  - Smart Retail: If Gender = Female & Age < 30 -> Show Cosmetics Ad.

  - Mood Tracking: If Emotion = Sad -> Suggest helpful content.

  - Zero Cloud Costs: All processing is done via TensorFlow.js on the client. No data leaves the device.


Demo Test: https://demo-app-56978.bubbleapps.io/version-test/faceos_pro/1765592232021x763012715758824400

Editor: https://bubble.io/page?id=demo-app-56978&test_plugin=1765587397668x869508702986829800_current&tab=Design&name=faceos_pro&ai_generated=true&type=page&elements=bTLkQ

$15

One time  β€’  Or  $5/mo

stars   β€’   0 ratings
0 installs  
This plugin does not collect or track your personal data.

Platform

Web

Contributor details

NoCoddo logo
NoCoddo
Joined 2025   β€’   60 Plugins
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Instructions

πŸš€ How to implement Biometric Login with FaceOS Pro
Phase 1: Enrollment (Sign Up)

  - Create a FaceDescriptor (Text) field in your User data type.

  - On your Sign-Up page, start the camera.

  - Add a button "Scan Face".

  - Workflow: Run action Generate Descriptor.

  - Workflow (Event): When Descriptor Generated triggers, save the FaceOS Pro A's Descriptor Output to the Current User's FaceDescriptor field.

Phase 2: Recognition (Login)

  - On your Login page, use a Search to get all Users who have a FaceDescriptor (is not empty).

  - Workflow (Page Load): Run action Load Face Database.

  - Names: Search for Users's Name (List of Text)

  - Descriptors: Search for Users's FaceDescriptor (List of Text)

  - Start the camera.

  - Workflow (Event): When Person Recognized triggers:

  - Check FaceOS Pro A's Recognized Name.

  - Log the user in based on the name/ID match.

Phase 3: Analytics & Security

  - Audit Log: When Person Recognized triggers, run Take Snapshot. Save the Snapshot Base64 to an Image field in your database to keep a visual record of who logged in.

  - Targeting: Use the Detected Age and Detected Gender states to show conditional content (e.g., hide age-restricted products if Age < 18).

Types

This plugin can be found under the following types:
Element   β€’   Event   β€’   Action

Categories

This plugin can be found under the following categories:
Image   β€’   Media   β€’   Video   β€’   AI   β€’   Visual Elements

Resources

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