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expo-face-vision

Native face detection, tracking, head pose, guidance, auto capture and liveness for React Native and Expo. Google ML Kit on Android, Apple Vision on iOS, Skia overlays.

Details

External ID
1376651934
Source
GITHUB
Company
—
Product
expo-face-vision
Website domain
npmjs.com
Launched
Sept. 19, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.5840379195490648
Tags
android, auto-capture, blink-detection, expo, expo-face-vision, expo-modules, face-detection, face-landmarks, face-tracking, head-gesture, head-pose, ios, liveness-guidance, mlkit, native, react-native, selfie, skia, vision
Fetched at
Sept. 23, 2026, 5:02 p.m.
Updated at
Sept. 23, 2026, 5:02 p.m.

Enrichment

Theme
AI avatar and portrait tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
native face detection and liveness library for react native and expo
Manually corrected
False

Could you build this?

Partial Bridging native C++/Obj-C/Java vision APIs (Apple Vision, Google ML Kit) with low-latency React Native Skia frame processors requires specialized native mobile systems and graphics pipeline knowledge.

What it would actually take: Building this requires a React Native native module or TurboModule architecture using VisionCamera v3 frame processors or custom native view wrappers. The engineer must write Objective-C/Swift for Apple Vision framework and Java/Kotlin for ML Kit, managing pixel buffer memory directly to avoid frame drops. Finally, bridging bounding boxes and facial landmark coordinates to React Native Skia for real-time 60fps canvas rendering requires deep native mobile and graphics synchronization expertise.

Competitors

Other products that read as similar to this one — 46 launches clear the similarity bar, closest 8 shown.

Attention rank: #21 of 47 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 304 days after the earliest competitor.

Other launches for this product

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