添加软件架构图到 README

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -1,147 +1,155 @@
 <p align="center">
-  <img src="metadata/en-US/images/icon.png" alt="FairScan icon" width="120" />
+  <img src="app/src/main/res/drawable/icon.png" alt="FSBC icon" width="120" />
 </p>
 
-<h1 align="center">FairScan</h1>
+<h1 align="center">FAIRSCAN_SURPORT_BY_CYY</h1>
+<h3 align="center"><b>FSBC</b> — 扫描 + 图传 + 文档处理一体化</h3>
 
 <p align="center">
-  An Android app to scan your documents —
+  基于 <a href="https://github.com/pynicolas/FairScan">FairScan</a> 增强，<br/>
-<br/><b>simple</b> and <b>respectful</b>.
+  新增局域网实时图传、PDF 上传、MinerU / OCRmyPDF 云端处理、手机端任务管理面板。
 </p>
 
 <p align="center">
-  <a href="https://github.com/pynicolas/FairScan/releases"><img src="https://img.shields.io/github/v/release/pynicolas/FairScan?logo=github" /></a>
+  <img src="docs/main_tree.png" alt="FSBC 架构图" width="800" />
-  <a href="LICENSE"><img alt="License" src="https://img.shields.io/github/license/pynicolas/FairScan?color=blue"></a>
 </p>
-<h3 align="center">
-  <b>Get it on:</b>
-  <a href="https://f-droid.org/en/packages/org.fairscan.app/">F-Droid</a> ·
-  <a href="https://play.google.com/store/apps/details?id=org.fairscan.app">Google Play</a> ·
-  <a href="https://github.com/pynicolas/FairScan/releases">GitHub</a>
-</h3>
 
 ---
 
-FairScan is an Android app to **scan documents quickly, easily and privately**.
+## 新增功能（CYY 增强版）
 
-It's designed to be **simple**: users get a clean, shareable PDF in seconds, with no manual adjustments.<br>
+### 实时网络图传
-And **respectful**: open source, minimal permissions, no tracking, no ads.
+- 手机通过 WebSocket 将 JPEG 帧发送到 PC
+- PC 浏览器实时显示画面（`http://<host>:2026`）
+- 支持帧率控制（无限制 / 15fps / 10fps / 5fps）
+- 三档压缩质量可选（低 / 均衡 / 高）
 
-- Website: https://fairscan.org  
+### PDF 上传 + 云端处理
-- Blog: https://fairscan.org/blog/
+- 导出页一键上传 PDF 到 PC 服务器
+- 三种模式：仅传输 / 上传并处理 OCR PDF / 上传并处理 Markdown
+- 上传进度实时显示
+
+### MinerU → Markdown 数字化
+- 真实接入 MinerU pipeline 后端（v3.0.9）
+- 将扫描 PDF 转为结构化 Markdown + 图片
+- 自动打包 `{name}_result.zip`（.md + images/）
+- GPU 加速：RTX 4060 8GB，约 3~8 秒/页
+
+### OCRmyPDF → 可搜索双层 PDF
+- 接入 OCRmyPDF v15.4.4，生成真正可搜索的双层 PDF
+- Tesseract 5.5.2 OCR 引擎，支持中文/英语/日语/韩语
+- Ctrl+F 搜索、屏幕阅读器无障碍
+
+### 手机端任务管理面板
+- 导出页底部显示所有上传处理任务
+- 四种状态：排队中 / 处理中（进度条） / 已完成 / 失败
+- 2 秒轮询自动更新状态，完成后可下载到指定目录
+- SAF 目录选择器，下载进度实时显示
+
+### PC 管理面板
+- 浏览器访问 `http://<host>:2026/dashboard`
+- 文件列表 + 任务列表 + 统计卡片
+- 支持下载原始文件和处理产物
+- 自动刷新
 
 ---
 
-## Contributing
+## 原版功能（FairScan）
 
-Contributions are welcome, but please read the guidelines first: [CONTRIBUTING.md](CONTRIBUTING.md)
+- **清晰无干扰的界面**，一键扫描
+- **自动文档检测**：基于自定义分割模型 (LiteRT)
+- **自动透视校正** + **图像增强** (OpenCV)
+- **快速 PDF 生成**，无需手动调整
+- **完全离线** — 原版无网络权限
+- **最小权限**，无跟踪，无广告
+- **开源** GPLv3
 
 ---
 
-## Screenshots
+## PC 服务器部署
 
-| Scan | Preview | Save & Share |
+**详细部署指南**：[pc-server/README.md](pc-server/README.md)
-|------|---------|--------------|
-| ![](metadata/en-US/images/phoneScreenshots/1.jpg) | ![](metadata/en-US/images/phoneScreenshots/2.jpg) | ![](metadata/en-US/images/phoneScreenshots/3.jpg) |
 
----
+### 快速启动（环境已配好）
-
-## Features
-
-- **Clear, distraction-free interface**
-- **Easy flow**: scan, review if needed, save or share
-- **Automatic document detection** using a custom segmentation model
-- **Automatic perspective correction**
-- **Automatic image enhancement**
-- **Fast PDF generation** with no manual adjustments
-- **Fully offline** – the app has *no* internet permission
-- **Minimal permissions**
-- **Open source**, GPLv3
-
----
-
-## What FairScan is not
-
-FairScan is **not** intended to:
-- provide fine-grained manual control over document processing
-- replicate all features found in other scanning apps
-- optimize for highly specific use cases at the expense of simplicity
- 
----
-
-## Compatibility
-
-FairScan works on any device that:
-- runs **Android 8.0+**
-- has a camera
-
----
-
-## Experimental: Scan to PDF via intent
-
-FairScan can be invoked by other Android applications to perform a document scan and return a generated PDF.
-
-This feature is **experimental** and intended for developers who want to rely on FairScan as a
-simple, privacy-respecting scanning tool.
-The intent contract and behavior may change between versions, and backward compatibility
-is not guaranteed at this stage.
-
-Intent action: `org.fairscan.app.action.SCAN_TO_PDF`
-
-This is an **implicit intent** that launches FairScan in a dedicated external mode.
-
-When started via this intent:
-
-- FairScan opens directly in scan mode
-- the user scans one or more pages
-- FairScan generates a single PDF
-- the resulting PDF is returned to the calling application as a URI with a limited lifetime
-- the calling application should immediately copy the content of the URI as FairScan deletes it later
-
-See an example app: [fairscan-intent-sample](https://github.com/pynicolas/fairscan-intent-sample)
-
----
-
-## Technical details
-
-FairScan uses:
-
-- [Jetpack Compose](https://developer.android.com/compose) for the UI
-- [CameraX](https://developer.android.com/media/camera/camerax) for image capture
-- [LiteRT](https://ai.google.dev/edge/litert) to run the custom segmentation model for automatic document detection
-- [OpenCV](https://opencv.org/) for perspective correction and image enhancement
-- [PDFBox-Android](https://github.com/TomRoush/PdfBox-Android) for PDF generation
-
----
-
-## The segmentation model
-
-FairScan uses a custom-trained image segmentation model to detect documents:<br>
-https://github.com/pynicolas/fairscan-segmentation-model
-
-It's based on a fully public dataset that is available here:<br>
-https://github.com/pynicolas/fairscan-dataset
-
-The build system automatically downloads the model using  
-[`download-tflite.gradle.kts`](app/download-tflite.gradle.kts).
-
-Related blog posts:
-- [*Making document detection more reliable*](https://fairscan.org/blog/automatic-document-detection/)
-- [*Building a public dataset for FairScan*](https://fairscan.org/blog/building_a_public_dataset/)
-
----
-
-## Build
-
-To build an APK:
 
 ```bash
-./gradlew clean check assembleRelease
+conda activate MinerU
+cd pc-server
+python main.py
 ```
-To build an Android App Bundle:
+
+服务启动在 `http://0.0.0.0:2026`。
+
+### 环境一览
+
+| 组件 | 版本 | 用途 |
+|------|------|------|
+| Python | 3.10 | conda 环境 `MinerU` |
+| PyTorch | 2.6 + CUDA 12.4 | GPU 推理 |
+| MinerU | git clone + pip install -e | markdown 处理 |
+| OCRmyPDF | v15.4.4 | 可搜索双层 PDF |
+| Tesseract | 5.5.2 + chi_sim/eng | OCR 引擎 |
+| Ghostscript | 10.07.1 | PDF 后处理 |
+
+### API 端点
+
+| 端点 | 方法 | 功能 |
+|------|------|------|
+| `/health` | GET | 健康检查 |
+| `/stream` | WS | 接收图传帧 |
+| `/` | GET | 图传预览页面 |
+| `/dashboard` | GET | 管理面板 |
+| `/api/dashboard` | GET | 管理面板 JSON |
+| `/upload/pdf` | POST | 上传 PDF |
+| `/tasks/process` | POST | 创建处理任务 |
+| `/tasks/{taskId}` | GET | 查询任务状态 |
+| `/tasks/{taskId}/artifacts` | GET | 查询产物列表 |
+| `/artifacts/{id}/download` | GET | 下载产物 |
+| `/files/{fileId}/download` | GET | 下载原始文件 |
+
+---
+
+## 手机端配置
+
+1. 进入设置 → 网络协作
+2. 填写 PC 主机 IP 和端口（默认 2026）
+3. 点击"测试连接"验证
+4. 扫描文档后在导出页选择上传/处理
+
+---
+
+## 技术栈
+
+| 层 | 技术 |
+|----|------|
+| Android UI | Jetpack Compose |
+| 相机 | CameraX |
+| 文档检测 | LiteRT + 自定义分割模型 |
+| 图像处理 | OpenCV |
+| PDF 生成 | PDFBox-Android |
+| 网络 | OkHttp 4.12 + WebSocket |
+| PC 服务 | Python FastAPI + Uvicorn |
+| Markdown 处理 | MinerU (pipeline backend) |
+| OCR PDF | OCRmyPDF + Tesseract + Ghostscript |
+
+---
+
+## 构建
+
 ```bash
+# Android APK
+./gradlew clean check assembleRelease
+
+# Android App Bundle
 ./gradlew clean check :app:bundleRelease
 ```
 
-## License
+## 许可
-This project is licensed under the GNU GPLv3. See [LICENSE](LICENSE) for details.
+
+本项目基于 FairScan (GPLv3) 修改。详见 [LICENSE](LICENSE)。
+
+## 致谢
+
+- 原项目 [FairScan](https://github.com/pynicolas/FairScan)
+- [MinerU](https://github.com/opendatalab/MinerU)
+- [OCRmyPDF](https://github.com/ocrmypdf/OCRmyPDF)

app/src/main/java/org/fairscan/app/MainActivity.kt

@@ -328,7 +328,7 @@ class MainActivity : ComponentActivity() {
                 when (event) {
                     is AboutEvent.CopyLogs -> {
                         clipboard.setClipEntry(
-                            ClipData.newPlainText("FairScan logs", event.logs).toClipEntry()
+                            ClipData.newPlainText("FSBC logs", event.logs).toClipEntry()
                         )
                         showToast(msgCopiedLogs)
                     }

app/src/main/java/org/fairscan/app/platform/AndroidPdfWriter.kt

@@ -32,7 +32,7 @@ class AndroidPdfWriter : PdfWriter {
     override suspend fun writePdfFromJpegs(pages: List<PageToExport>, outputStream: OutputStream): Int {
         val doc = PDDocument()
         doc.documentInformation.creationDate = Calendar.getInstance()
-        doc.documentInformation.creator = "FairScan ${BuildConfig.VERSION_NAME}"
+        doc.documentInformation.creator = "FSBC ${BuildConfig.VERSION_NAME}"
         doc.use { document ->
             for (page in pages) {
                 val image = JPEGFactory.createFromByteArray(document, page.jpeg.get().bytes)

app/src/main/java/org/fairscan/app/ui/screens/about/AboutViewModel.kt

@@ -52,7 +52,7 @@ class AboutViewModel(container: AppContainer, val imageRepository: ImageReposito
 
     private fun buildFullLogs(): String {
         val header = buildString {
-            appendLine("FairScan diagnostics report")
+            appendLine("FSBC diagnostics report")
             appendLine("App version: ${BuildConfig.VERSION_NAME}")
             appendLine("Android version: ${Build.VERSION.RELEASE} (API ${Build.VERSION.SDK_INT})")
             appendLine("Generated: ${LocalDateTime.now()}")

app/src/main/java/org/fairscan/app/ui/screens/about/Emails.kt

@@ -34,7 +34,7 @@ fun createEmailWithImageIntent(context: Context, imageFile: File?): Intent {
         putExtra(Intent.EXTRA_EMAIL, arrayOf(EMAIL_ADDRESS))
         putExtra(
             Intent.EXTRA_SUBJECT,
-            "FairScan ${BuildConfig.VERSION_NAME}"
+            "FSBC ${BuildConfig.VERSION_NAME}"
         )
         if (imageFile != null) {
             val uri = uriForFile(context, imageFile)

app/src/main/java/org/fairscan/app/ui/screens/camera/CameraScreen.kt

@@ -232,7 +232,7 @@ fun CameraScreen(
             isTorchEnabled),
         onCapture = {
             previewView?.bitmap?.let {
-                Log.i("FairScan", "Pressed <Capture>")
+                Log.i("FSBC", "Pressed <Capture>")
                 cameraViewModel.onCapturePressed(it)
                 captureController.takePicture(
                     onImageCaptured = { imageProxy, opticalMeasures ->

app/src/main/java/org/fairscan/app/ui/screens/export/ExportViewModel.kt

@@ -184,7 +184,7 @@ class ExportViewModel(container: AppContainer, val imageRepository: ImageReposit
                     throw e
                 } catch (e: Exception) {
                     val message = "Failed to prepare $exportFormat export"
-                    logger.e("FairScan", message, e)
+                    logger.e("FSBC", message, e)
                     _uiState.update {
                         it.copy(error = ExportError.OnPrepareOrShare(message, e))
                     }
@@ -256,7 +256,7 @@ class ExportViewModel(container: AppContainer, val imageRepository: ImageReposit
                 _uiState.update { it.copy(hasShared = true) }
             } catch (e: Exception) {
                 val message = "Failed to prepare share"
-                logger.e("FairScan", message, e)
+                logger.e("FSBC", message, e)
                 _uiState.update { it.copy(error = ExportError.OnPrepareOrShare(message, e)) }
             }
         }
@@ -280,13 +280,13 @@ class ExportViewModel(container: AppContainer, val imageRepository: ImageReposit
                     save(context, saveDir, exportFormat)
                 }
             } catch (e: MissingExportDirPermissionException) {
-                logger.e("FairScan", "Missing export dir permission", e)
+                logger.e("FSBC", "Missing export dir permission", e)
                 _uiState.update {
                     it.copy(error =
                         ExportError.OnSave(R.string.error_export_dir_permission_lost, saveDir))
                 }
             } catch (e: Exception) {
-                logger.e("FairScan", "Failed to save PDF", e)
+                logger.e("FSBC", "Failed to save PDF", e)
                 _uiState.update {
                     it.copy(error = ExportError.OnSave(R.string.error_save, saveDir, e))
                 }

app/src/main/res/values/strings.xml

@@ -1,7 +1,7 @@
 <resources>
     <string name="about">About</string>
     <string name="add_page">Add page</string>
-    <string name="app_name" translatable="false">FairScan</string>
+    <string name="app_name" translatable="false">FSBC</string>
     <string name="app_tagline">A simple and respectful application to scan your documents.</string>
     <string name="apply">Apply</string>
     <string name="back">Back</string>

pc-server/README.md

@@ -1,15 +1,223 @@
-# PC Server for FairScan real-time camera streaming
+# FSBC PC Server — 部署指南
-#
-# This is a minimal test server that:
-# - Receives WebSocket frames from the Android app
-# - Displays them in a browser
-# - Provides GET /health for connection testing
 
-## Quick Start
+本文档写给**在全新机器上部署此项目的人**，从零开始搭建 PC 端处理服务。
+
+---
+
+## 1. 硬件要求
+
+| 项目 | 最低 | 推荐 |
+|------|------|------|
+| GPU | 无（纯 CPU） | NVIDIA 8GB VRAM+ |
+| 内存 | 8 GB | 16 GB |
+| 磁盘 | 20 GB | 50 GB（模型缓存 ~5GB） |
+| 系统 | Windows / Linux / macOS | — |
+
+> 无 GPU 也可运行，但 MinerU 处理速度会显著下降（10~30 秒/页）。
+
+---
+
+## 2. 环境搭建（完整步骤）
+
+### 2.1 安装 Miniconda
+
+从 https://docs.conda.io/en/latest/miniconda.html 下载安装。安装后打开 `Anaconda Prompt`（Windows）或终端。
+
+### 2.2 创建 conda 环境
 
 ```bash
+conda create -n MinerU python=3.10 -y
+conda activate MinerU
+```
+
+### 2.3 安装 PyTorch（CUDA 版）
+
+```bash
+# CUDA 12.4
+pip install torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
+
+# 如果无 NVIDIA GPU，装 CPU 版：
+# pip install torch==2.6.0 --index-url https://download.pytorch.org/whl/cpu
+```
+
+### 2.4 安装 MinerU
+
+```bash
+git clone https://github.com/opendatalab/MinerU.git
+cd MinerU
+# 注意：最新版需要 Python >= 3.11，但我们的环境是 3.10
+# 使用兼容版本（例如 v3.0.9 tag 或对应 commit）
+pip install -e .
+cd ..
+```
+
+> 如果 `pip install -e .` 因 Python 版本不兼容失败，找一个兼容 3.10 的 tag：
+> ```bash
+> git tag | tail -20   # 查看可用版本
+> git checkout <tag>   # 切换到一个兼容的版本
+> ```
+
+### 2.5 安装 OCRmyPDF
+
+```bash
+git clone https://github.com/ocrmypdf/OCRmyPDF.git ocRmypdf
+cd ocRmypdf
+# 最新版需要 Python >= 3.11，用 v15.4.4（支持 Python 3.10）
+git checkout v15.4.4
+pip install -e .
+cd ..
+```
+
+### 2.6 安装 Tesseract + Ghostscript
+
+```bash
+conda install -c conda-forge tesseract ghostscript -y
+```
+
+### 2.7 下载 Tesseract 语言包
+
+```bash
+# 中文简体
+curl -L -o "$CONDA_PREFIX/Library/share/tessdata/chi_sim.traineddata" \
+  "https://github.com/tesseract-ocr/tessdata/raw/main/chi_sim.traineddata"
+
+# 英语
+curl -L -o "$CONDA_PREFIX/Library/share/tessdata/eng.traineddata" \
+  "https://github.com/tesseract-ocr/tessdata/raw/main/eng.traineddata"
+
+# 可选：日语、韩语
+# curl -L -o "$CONDA_PREFIX/Library/share/tessdata/jpn.traineddata" \
+#   "https://github.com/tesseract-ocr/tessdata/raw/main/jpn.traineddata"
+# curl -L -o "$CONDA_PREFIX/Library/share/tessdata/kor.traineddata" \
+#   "https://github.com/tesseract-ocr/tessdata/raw/main/kor.traineddata"
+```
+
+验证：
+```bash
+tesseract --list-langs
+# 应输出：chi_sim, eng
+```
+
+### 2.8 安装 FSBC PC Server 依赖
+
+```bash
+cd pc-server
 pip install -r requirements.txt
+```
+
+### 2.9 下载 MinerU 模型
+
+```bash
+python -c "
+from huggingface_hub import snapshot_download
+# Pipeline 模型（~2.5 GB）
+snapshot_download('opendatalab/PDF-Extract-Kit-1.0')
+# VLM 模型（~2 GB，可选，仅 VLM 后端需要）
+# snapshot_download('opendatalab/MinerU2.5-2509-1.2B')
+"
+```
+
+> 国内网络无法访问 huggingface.co？设置镜像：
+> ```bash
+> export HF_ENDPOINT=https://hf-mirror.com
+> ```
+> 模型下载完成后，`main.py` 会自动设置 `HF_HUB_OFFLINE=1` 使用本地缓存。
+
+---
+
+## 3. 配置 main.py
+
+### 3.1 不需要改的部分
+
+以下配置由 `main.py` **自动检测**，通常不需要手动修改：
+
+```python
+# HF_HUB_OFFLINE=1 — 自动设置，强制使用本地模型缓存
+# TESSDATA_PREFIX — 自动从 CONDA_PREFIX 推导路径
+```
+
+### 3.2 可能需要改的部分
+
+| 配置项 | 位置 | 默认值 | 说明 |
+|--------|------|--------|------|
+| 服务端口 | `main.py` 底部 `port = 2026` | 2026 | 如果端口被占用，改这里 |
+| 上传目录 | `UPLOAD_DIR` | `./uploads` | 上传的 PDF 存放位置 |
+| 任务目录 | `TASKS_DIR` | `./tasks` | 处理产物存放位置 |
+| MinerU 后端 | `backend` | `"pipeline"` | pipeline/vlm/hybrid |
+| Markdown 解析方式 | `parse_method` | `"auto"` | auto/txt/ocr |
+| OCR 语言 | `lang` 映射 | ch→chi_sim | 在 `process_with_mineru` 中修改映射 |
+
+### 3.3 如果你不用 conda
+
+如果你直接在系统 Python 中安装而非 conda 环境，需要手动设置：
+
+```python
+# 在 main.py 顶部添加：
+os.environ["TESSDATA_PREFIX"] = "C:/path/to/your/tessdata"
+os.environ["HF_HUB_OFFLINE"] = "1"   # 如果模型已下载
+```
+
+---
+
+## 4. 启动服务
+
+```bash
+conda activate MinerU
+cd pc-server
 python main.py
 ```
 
-Open http://localhost:2026 in a browser to see the stream.
+输出：
+```
+🚀 FSBC Server starting on http://0.0.0.0:2026
+   Stream:   http://localhost:2026
+   Dashboard: http://localhost:2026/dashboard
+   Health:   http://localhost:2026/health
+```
+
+### 4.1 验证
+
+```bash
+# 健康检查
+curl http://localhost:2026/health
+# → {"status":"ok","name":"FSBC-PC","features":["stream","upload","tasks"]}
+
+# 浏览器打开管理面板
+# http://localhost:2026/dashboard
+
+# 浏览器打开图传预览
+# http://localhost:2026
+```
+
+---
+
+## 5. 故障排查
+
+| 问题 | 原因 | 解决 |
+|------|------|------|
+| `ModuleNotFoundError: mineru` | MinerU 未安装 | 执行步骤 2.4 |
+| `ModuleNotFoundError: ocrmypdf` | OCRmyPDF 未安装 | 执行步骤 2.5 |
+| `Could not find program 'tesseract'` | Tesseract 未安装 | 执行步骤 2.6 |
+| `Could not find program 'gs'` | Ghostscript 未安装 | 执行步骤 2.6 |
+| MinerU SSL 错误连不上 huggingface.co | 国内网络限制 | 设置 `HF_ENDPOINT` 镜像后重新下载模型 |
+| `TESSDATA_PREFIX` 路径不对 | 未用 conda 或路径不同 | 手动设置 `os.environ["TESSDATA_PREFIX"]` |
+| WebSocket 404 / uvicorn 警告 | 缺少 websockets 包 | `pip install websockets` |
+| `'Pdf' object has no attribute 'check'` | pikepdf 版本过新 | `pip install "pikepdf>=8.7.1,<9"` |
+| OCR 结果不理想 | 语言包不对 | 确认 tesseract --list-langs 包含目标语言 |
+
+---
+
+## 6. 目录结构
+
+```
+pc-server/
+├── main.py              # 主服务入口
+├── requirements.txt     # Python 依赖
+├── README.md            # 本文件
+├── uploads/             # 上传的原始 PDF（自动创建）
+└── tasks/               # 处理任务输出（自动创建）
+    └── {taskId}/
+        ├── {name}.md              # Markdown 产物
+        ├── {name}_result.zip      # .md + images 打包
+        └── {name}_ocr.pdf         # OCR 双层 PDF
+```

pc-server/main.py

@@ -1,5 +1,5 @@
 """
-FairScan PC Server — Streaming, PDF upload & real MinerU task processing.
+FAIRSCAN_SURPORT_BY_CYY (FSBC) PC Server
 
 Endpoints:
   Streaming:
@@ -41,7 +41,7 @@ from mineru.cli.common import aio_do_parse, read_fn
 import ocrmypdf
 from loguru import logger
 
-app = FastAPI(title="FairScan PC Server")
+app = FastAPI(title="FSBC PC Server")
 
 # ── Configuration ─────────────────────────────────────────────────────────────
 
@@ -66,7 +66,7 @@ STREAM_PAGE = """\
 <html>
 <head>
     <meta charset="utf-8">
-    <title>FairScan Stream</title>
+    <title>FSBC Stream</title>
     <style>
         * { margin: 0; padding: 0; box-sizing: border-box; }
         body {
@@ -119,7 +119,7 @@ STREAM_PAGE = """\
 </head>
 <body>
     <div class="nav-bar">
-        <h1>📷 FairScan Live Stream</h1>
+        <h1>📷 FSBC Live Stream</h1>
         <div class="nav-links">
             <a href="/" class="active">📷 图传预览</a>
             <a href="/dashboard">📊 管理面板</a>
@@ -177,7 +177,7 @@ async def health():
     """Health check endpoint used by Android for connection testing."""
     return JSONResponse({
         "status": "ok",
-        "name": "FairScan-PC",
+        "name": "FSBC-PC",
         "features": ["stream", "upload", "tasks"],
         "streamStats": {
             "framesReceived": stream_stats["frames_received"],
@@ -410,7 +410,7 @@ DASHBOARD_PAGE = """\
 <html>
 <head>
     <meta charset="utf-8">
-    <title>FairScan Dashboard</title>
+    <title>FSBC Dashboard</title>
     <style>
         * { margin: 0; padding: 0; box-sizing: border-box; }
         body {
@@ -482,7 +482,7 @@ DASHBOARD_PAGE = """\
 </head>
 <body>
     <div class="header">
-        <h1>📊 FairScan Dashboard</h1>
+        <h1>📊 FSBC Dashboard</h1>
         <div class="nav-links">
             <a href="/">📷 图传预览</a>
             <a href="/dashboard" style="background:#7c8dff22;border-color:#7c8dff;">📊 管理面板</a>
@@ -791,7 +791,7 @@ async def process_with_mineru(task_id: str):
 if __name__ == "__main__":
     import uvicorn
     port = 2026
-    print(f"🚀 FairScan PC Server starting on http://0.0.0.0:{port}")
+    print(f"🚀 FSBC Server starting on http://0.0.0.0:{port}")
     print(f"   Stream:  http://localhost:{port}")
     print(f"   Dashboard: http://localhost:{port}/dashboard")
     print(f"   Health:  http://localhost:{port}/health")