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expo-face-check

v0.2.2

Published

On-device face detection for Expo — detects if an image has exactly one dominant face

Readme

expo-face-check

On-device face detection for Expo — detects if an image has exactly one dominant face. Runs entirely on-device with no network calls.

  • iOS: Apple Vision framework
  • Android: Google ML Kit Face Detection

Installation

npx expo install expo-face-check

Usage

import { checkFace } from 'expo-face-check';

const result = await checkFace(imageUri);

if (result.status === 'READY') {
  // Single dominant face detected
  console.log(result.dominantFaceBounds); // { x, y, width, height }
} else if (result.status === 'NO_FACE') {
  // No face found
} else if (result.status === 'MULTIPLE_FACES') {
  // More than one dominant face detected
} else if (result.status === 'LOW_QUALITY') {
  // Image resolution below the minimum pixel count
}

API

checkFace(imageUri: string, options?: CheckFaceOptions): Promise<FaceCheckResult>

Analyzes a local image for faces.

Parameters:

  • imageUri — Local file URI of the image (e.g., from expo-image-picker)
  • options — Optional thresholds (see CheckFaceOptions below)

Returns: FaceCheckResult

type FaceCheckStatus = 'READY' | 'NO_FACE' | 'MULTIPLE_FACES' | 'LOW_QUALITY';

interface FaceBounds {
  x: number;
  y: number;
  width: number;
  height: number;
}

interface FaceCheckResult {
  status: FaceCheckStatus;
  faceCount: number;
  dominantFaceBounds?: FaceBounds;
}

interface CheckFaceOptions {
  /** Minimum total pixels (width * height) for the image to be considered. Defaults to 500_000. */
  minPixelSize?: number;
  /** Faces with area smaller than `areaThreshold * largestFaceArea` are ignored when counting dominant faces. Range 0–1. Defaults to 0.2. */
  areaThreshold?: number;
}

Options

| Option | Default | Meaning | |--------|---------|---------| | minPixelSize | 500_000 | Minimum total pixels (width × height). Images below this are returned as LOW_QUALITY. Useful to lower for compressed selfies from chat apps. | | areaThreshold | 0.2 | A face counts as "dominant" when its bounding-box area is greater than areaThreshold × largestFaceArea. Must be between 0 and 1. |

Invalid options (negative minPixelSize, areaThreshold outside [0, 1], NaN/infinite values) reject the promise with code ERR_INVALID_OPTIONS.

Example: lower the pixel-count floor

const result = await checkFace(uri, { minPixelSize: 100_000 });

Status values

| Status | Meaning | |--------|---------| | READY | Exactly one dominant face detected | | NO_FACE | No faces found in the image | | MULTIPLE_FACES | Multiple dominant faces found | | LOW_QUALITY | Image resolution below minPixelSize |

By default, images with fewer than 500,000 pixels (e.g. below ~707×707) are rejected as LOW_QUALITY. Otherwise, a face is counted as "dominant" when its bounding-box area is greater than 20% of the largest detected face's area. READY requires exactly one dominant face; two or more yield MULTIPLE_FACES. EXIF orientation is applied before detection.

License

MIT