FaceAISDK 介绍

iPhone&iPad iOS FaceAISDK is on_device Offline Face Detection 、Recognition 、Liveness Detection Anti Spoofing SDK.
FaceAISDK_iOS SDK是设备端可完全离线不需联网实现人脸录入、活体检测、人脸识别，集成后可快速实现相关功能。

集成步骤

SDK默认的开发环境为Xcode 15.2,Swift 5.9；UI全部使用SwiftUI实现，支持iOS[15,26]

1.首次运行/更新版本发生闪退异常

TensorFlowLiteSwift首次运行或更新版本后发生闪退并报错

  X Thread 1: EXC BAD ACCESS (code=1, address=0x800008)

在Xcode菜单Product执行clean all Issues后 再次执行pod命令升级FaceAISDK: pod update FaceAISDK_Core

2. 确认电脑能科学上网翻墙后，使用Pod命令安装FaceAISDK和相关依赖库

一般pod install 命令能完整的下载同步安装好所有依赖，也可以pod update FaceAISDK_Core仅更新人脸识别SDK 首次安装基础依赖TensorFlowLiteSwift耗时30分钟左右（和网络环境和设备有关），建议此时去喝杯水活动一下颈椎😭

你也可以在浏览器中看看当前网络环境下载TensorFlowLiteSwift情况：
https://github.com/tensorflow/tensorflow/archive/refs/heads/master.zip

「没有翻墙的错误提示」
 Updating local specs repositories
 Downloading dependencies
 Installing FaceAISDK_Core 2026.01.22 

 [!] Error installing FaceAISDK_Core

 Cloning into '/var/folders/gh/p4wv4ytj4tn5xrhgq0n_jnbm0000gn/T/d20251020-8626-c57agm'...
 fatal: unable to access 'https://github.com/FaceAISDK/FaceAISDK_Core.git/': Error in the HTTP2 framing layer

3. 下载依赖TensorFlowLiteSwift出错了

 [!] Error installing TensorFlowLiteSwift
 
 Cloning into '/var/folders/ft/7cxjq5ss2094sj67mbhnzjrc0000gn/T/d20260113-17932-1xwealt'...
 error: RPC failed; curl 18 transfer closed with outstanding read data remaining
 error: 3926 bytes of body are still expected
 fetch-pack: unexpected disconnect while reading sideband packet
 fatal: early EOF

这表明：
1. 仓库过大：TensorFlowLiteSwift 的源仓库（TensorFlow）比较大
2. 网络问题：编译环境连接GitHub不稳定
保证网络环境以及增加Git缓存大小
Bash
git config --global http.postBuffer 548576000
git config --global https.postBuffer 548576000

其他说明

iOS SDK： https://github.com/FaceAISDK/FaceAISDK_iOS
Android： https://github.com/FaceAISDK/FaceAISDK_Android
其他实现
Flutter 插件： https://github.com/FaceAISDK/FaceAISDK_Flutter_Plugin
uniApp UTS插件： https://github.com/FaceAISDK/FaceAISDK_uniapp_UTS

微信：FaceAISDK
Email: FaceAISDK.Service@gmail.com

Android体验Demo APK下载如下

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