Packages Maven Central io.github.faceaisdk:UVCCamera Package · Maven Central
io.github.faceaisdk:UVCCamera Maven Central · v2026.01.20_test2 · The FaceAISDK License, Version 1.0
On_device Offline Android Face Detection ,Recognition ,Liveness Detection Anti Spoofing and 1:N/M:N Face Search SDK
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install <dependency>
<groupId>io.github.faceaisdk</groupId>
<artifactId>UVCCamera</artifactId>
<version>2026.01.20_test2</version>
</dependency>Copy Adoption
Adoption — Not published by Maven Central Not published
Popularity — Not published by Maven Central Not published
Dependents — Not published by Maven Central Not published
Maintenance 0.48 Derived Release cadence and recency, 0 to 1
Releases per year 23 13 versions over its life Growth by period Maven Central publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days — Not published by Maven Central Not published
30 days — Not published by Maven Central Not published
90 days — Not published by Maven Central Not published
1 year — Not published by Maven Central Not published Adoption history Maven Central publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
Latest version v2026.01.20_test2 13 versions
First published JUL 12, 2025
Last release FEB 1, 2026 9mo ago
Licence The FaceAISDK License, Version 1.0 Repository In the Crest catalog
Android on_device Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK 端侧可离线人脸识别 活体检测 以及1:N M:N 人脸搜索SDK
Language Java
Last push 25d ago
Last release 31d ago Dependencies latest version · v2026.01.20_test2 Runtime 3 androidx.appcompat:appcompat 1.6.0cn.hutool:hutool-core 5.8.35com.vanniktech.maven.publish.base:com.vanniktech.maven.publish.base.gradle.plugin 0.32.0io.github.faceaisdk:Android FaceAI Android SDK On_device Offline Face Detection,Recognition,Liveness Detection and Face Search SDK MavenPublished from the same repository io.github.anylifezlb:FaceRecognition On_device Offline Android Face Detection ,Recognition ,Liveness Detection Anti Spoofing and 1:N/M:N Face Search SDK MavenPublished from the same repository io.github.faceaisdk:FaceRecognition FaceAI Android SDK.On_device Offline Face Detection,Recognition,Liveness Detection and Face Search SDK MavenPublished from the same repository io.github.faceaisdk:YUV FaceAI Android SDK On_device Offline Face Detection,Recognition,Liveness Detection and Face Search SDK MavenPublished from the same repository io.github.faceaisdk:silentEngine Offline Android silent anti spoofing Engine SDK MavenPublished from the same repository io.github.faceaisdk:yuv On_device Offline Android Face Detection ,Recognition ,Liveness Detection Anti Spoofing and 1:N/M:N Face Search SDK MavenPublished from the same repository inference-sdk With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference. PyPISame primary category inference-gpu With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference. PyPISame primary category inference-cpu With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference. PyPISame primary category inference-core With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference. PyPISame primary category inference-cli With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI. PyPISame primary category inference With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference. PyPISame primary category Related news No published news event mentions this package or its repository yet.