diff --git a/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/BUILD.gn b/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/BUILD.gn
index f40a29794041d7194bc06dd91cddfbf18ef8096e..2bc2ee12db996191b17d9754943ef8a8d649b486 100644
--- a/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/BUILD.gn
+++ b/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/BUILD.gn
@@ -14,53 +14,52 @@ import("//build/lite/config/component/lite_component.gni")
 
 executable("ImageRecognition_LocalAI_sample") {
   sources = [
-    "src/main.cpp",
-    "src/wpa_work.c",
+    "//third_party/cJSON/cJSON.c",
+    "//third_party/cJSON/cJSON_Utils.c",
     "src/camera.cpp",
-    "src/local_net_udp.c",
-    "src/local_net_dlist.c",
     "src/local_net_communication.c",
-    "src/local_net_utils.c",
+    "src/local_net_dlist.c",
     "src/local_net_message.c",
-    "//third_party/cJSON/cJSON.c",
-    "//third_party/cJSON/cJSON_Utils.c",
+    "src/local_net_udp.c",
+    "src/local_net_utils.c",
+    "src/main.cpp",
+    "src/wpa_work.c",
   ]
   cflags = [ "-Wall" ]
   cflags_cc = cflags
   include_dirs = [
-  "//base/startup/syspara_lite/interfaces/kits",
-  "//third_party/wpa_supplicant/wpa_supplicant-2.9/src/common",
-  "//third_party/EasyPR/include",
-  "//third_party/zxing-cpp/core/src",
-  "//third_party/zxing-cpp/cli/src",
-  "include"
+    "//base/startup/syspara_lite/interfaces/kits",
+    "//third_party/wpa_supplicant/wpa_supplicant-2.9/src/common",
+    "//third_party/cJSON",
+    "//third_party/EasyPR/include",
+    "//third_party/zxing-cpp/core/src",
+    "//third_party/zxing-cpp/cli/src",
+    "include",
   ]
 
   ldflags = [ "-lstdc++" ]
   ldflags += [ "-lpthread" ]
   ldflags += [ "-Wl,-rpath-link=$ohos_root_path/$root_out_dir" ]
-   ldflags += [
+  ldflags += [
     "-lwpa",
     "-lwpa_client",
     "-lsysparam",
     "-lpms_client",
     "-leasyPR",
-    "-lzxing_cpp"
+    "-lzxing_cpp",
   ]
   deps = [
     "//foundation/multimedia/camera_lite/frameworks:camera_lite",
-    "//foundation/multimedia/media_lite/frameworks/recorder_lite:recorder_lite",
     "//foundation/multimedia/media_lite/frameworks/player_lite:player_lite",
+    "//foundation/multimedia/media_lite/frameworks/recorder_lite:recorder_lite",
+    "//third_party/EasyPR:easypr",
     "//third_party/bounds_checking_function:libsec_shared",
     "//third_party/wpa_supplicant/wpa_supplicant-2.9:wpa_supplicant",
-    "//third_party/EasyPR:easypr",
     "//third_party/zxing-cpp:zxing_cpp",
   ]
   output_name = "localAI_sample"
 }
 
 lite_component("ImageRecognition_LocalAI") {
-  features = [
-    ":ImageRecognition_LocalAI_sample",
-  ]
+  features = [ ":ImageRecognition_LocalAI_sample" ]
 }
diff --git a/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/src/main.cpp b/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/src/main.cpp
index b7b98cf2b6e3ac584616b893571021e828c85486..33d178bc533b39b4303e4039666a6d5cb63d2cfb 100644
--- a/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/src/main.cpp
+++ b/dev/team_x/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI/src/main.cpp
@@ -13,14 +13,7 @@
  * limitations under the License.
  */
 
-
-#include "log.h"
-#include "camera.h"
-#include "wpa_work.h"
-#include "local_net_udp.h"
-#include "local_net_communication.h"
-#include "cJSON.h"
-#include "interface.h"
+static constexpr int USE_PARKING_MODE = 0;
 
 #include <algorithm>
 #include <cstring>
@@ -32,9 +25,22 @@
 #include <cstring>
 #include <cstdio>
 
+#if (USE_PARKING_MODE)
+#include "wpa_work.h"
+#include "local_net_udp.h"
+#include "local_net_communication.h"
+#include "cJSON.h"
+#endif
+
+#include "camera.h"
+#include "log.h"
+#include "interface.h"
+
 using namespace std;
 
-static const char *g_easyPrModlePath = "/userdata/model";
+static const char *g_easyPrModlePath = "/userdata/model/";
+
+#if (USE_PARKING_MODE)
 
 static bool  g_runAiSwitch = false;
 
@@ -193,5 +199,41 @@ int main(int argc, char **argv)
 
     MainLoop();
 
+    PlateDeinit();
+
     return 0;
 }
+
+#else
+
+int main(void)
+{
+    char input;
+
+    InitCamera();
+    PlateInit(g_easyPrModlePath);
+    sleep(2);    // sleep 2 senconds to wait camera init ok!
+
+    while (cin >> input) {
+        switch (input) {
+            case '1':
+                RunAICamera();
+                break;
+            case '2': {
+                Beep("/sdcard/start_lpr.mp4");
+                char licensePlate[32] = {0};
+                int ret = GetPlateString(IMG_PATH, licensePlate);
+                SAMPLE_INFO("ret -> %d, licensePlate->%s", ret, licensePlate);
+                break;
+            }
+            default:
+                break;
+        }
+    }
+
+    PlateDeinit();
+
+    return 0;
+}
+
+#endif
\ No newline at end of file
diff --git a/docs/GreyWolf_ImageRecognition_LocalAI/README.md b/docs/GreyWolf_ImageRecognition_LocalAI/README.md
index 15f0e5c04be7911752a561220b1b1232f7ea5c4b..91e440c0b92cad4e3ee4f44ba8c8f6e654e04bd1 100644
--- a/docs/GreyWolf_ImageRecognition_LocalAI/README.md
+++ b/docs/GreyWolf_ImageRecognition_LocalAI/README.md
@@ -2,9 +2,9 @@
 
 ## 简介
 
-本文介绍如何在OpenHarmony 3.1 Release 小型系统上[实现车牌识别](../../dev/team_x/GreyWolf_ImageRecognition_LocalAI)。本样例通过语音播放、相机拍照、opencv识别车牌、获取识别结果并通过串口显示。
+本文介绍如何在OpenHarmony 3.2 beta1 小型系统上[实现车牌识别](../../dev/team_x/GreyWolf_ImageRecognition_LocalAI)。本样例通过语音播放、相机拍照、opencv识别车牌、获取识别结果并通过串口显示。
 
-![](media/display.gif)
+![display](media/display.gif)
 
 ## 快速上手
 
@@ -16,56 +16,55 @@
 
 ### 准备开发环境
 
-####  安装必备软件
+#### 安装必备软件
 
 开发基础环境由windows 工作台和Linux  编译服务器组成。windows 工作台可以通过samba 服务或ssh  方式访问Linux编译服务器。其中windows  工作台用来烧录和代码编辑，Linux编译服务器用来编译OpenHarmony代码，为了简化步骤，Linux编译服务器推荐安装Ubuntu20.04。
 
-##### 安装和配置Python 
+##### 安装和配置Python
 
 - 打开Linux终端。
-
 - 输入如下命令，查看python版本号，需要使用python3.7以上版本,否则参考 [系统基础环境搭建](https://gitee.com/openharmony/docs/blob/OpenHarmony_1.0.1_release/zh-cn/device-dev/quick-start/搭建系统基础环境.md)。
 
-  ```
+  ```shell
   python3 --version
   ```
 
 - 安装并升级Python包管理工具（pip3）。
 
-  ```
+  ```shell
   sudo apt-get install python3-setuptools python3-pip -y
   sudo pip3 install --upgrade pip
   ```
 
-##### 安装hb 
+##### 安装hb
 
 - 运行如下命令安装hb
 
-  ```
+  ```shell
   python3 -m pip install --user ohos-build
   ```
 
 - 将hb加入系统环境变量
 
-  ```
+  ```shell
   vim ~/.bashrc
   ```
 
   将以下命令拷贝到.bashrc文件的最后一行，保存并退出。
 
-  ```
+  ```shell
   export PATH=~/.local/bin:$PATH
   ```
 
   执行如下命令更新环境变量。
 
-  ```
+  ```shell
   source ~/.bashrc
   ```
 
 - 测试hb安装结果 执行"hb -h"，有打印以下信息即表示安装成功.
 
-  ```
+  ```shell
   usage: hb
   OHOS build system
   positional arguments:
@@ -82,12 +81,12 @@
 
   本样例hb版本为0.2.0，如果当前hb版本不是0.2.0，需要替换hb版本，步骤如下(该步骤必须在openharmony的工程根目录下执行)：
 
-  ```
+  ```shell
   pip3 uninstall ohos_build
   pip3 install build/lite
   ```
 
-####  安装交叉编译环境
+#### 安装交叉编译环境
 
 在Linux编译服务器上搭建好基础开发环境后，需要安装OpenHarmony 编译Hi3518平台特有的开发环境。
 
@@ -95,72 +94,72 @@
 
 查看shell是否为bash，在终端运行如下命令
 
-```
+```shell
 ls -l /bin/sh
 ```
 
 如果显示为“/bin/sh -> bash”则为正常，否则请按以下方式修改：
 
-```
+```shell
 sudo rm -rf /bin/sh
 sudo ln -s /bin/bash /bin/sh
 ```
 
-#####  安装编译依赖基础软件 
+##### 安装编译依赖基础软件
 
-```
+```shell
 sudo apt-get install build-essential && sudo apt-get install gcc && sudo apt-get install g++ && sudo apt-get install make && sudo apt-get install zlib* && sudo apt-get install libffi-dev
 ```
 
-##### 安装文件打包工具 
+##### 安装文件打包工具
 
 - 安装dosfstools
 
-  ```
+  ```shell
   sudo apt-get install dosfstools
   ```
 
 - 安装mtools
 
-  ```
+  ```shell
   sudo apt-get install mtools
   ```
 
 - 安装mtd-utils
 
-  ```
+  ```shell
   sudo apt-get install mtd-utils
   ```
 
-##### 安装hc-gen 
+##### 安装hc-gen
 
 - 下载hc-gen工具：[下载地址](https://gitee.com/link?target=https%3A%2F%2Frepo.huaweicloud.com%2Fharmonyos%2Fcompiler%2Fhc-gen%2F0.65%2Flinux%2Fhc-gen-0.65-linux.tar)。
 
 - 解压hc-gen安装包到Linux服务器~/hc-gen路径下。
 
-  ```
+  ```shell
   tar -xvf hc-gen-0.65-linux.tar -C ~/
   ```
 
 - 设置环境变量。
 
-  ```
+  ```shell
   vim ~/.bashrc
   ```
 
   将以下命令拷贝到.bashrc文件的最后一行，保存并退出。
 
-  ```
+  ```shell
   export PATH=~/hc-gen:$PATH
   ```
 
 - 使环境变量生效。
 
-  ```
+  ```shell
   source ~/.bashrc
   ```
 
-##### 安装LLVM 
+##### 安装LLVM
 
 **openharmony3.1及之后的版本不需要手动安装LLVM，可跳过此步骤。**
 
@@ -168,25 +167,25 @@ sudo apt-get install build-essential && sudo apt-get install gcc && sudo apt-get
 
 - 解压LLVM安装包至~/llvm路径下。
 
-  ```
+  ```shell
   tar -zxvf llvm.tar -C ~/
   ```
 
 - 设置环境变量。
 
-  ```
+  ```shell
   vim ~/.bashrc
   ```
 
   将以下命令拷贝到.bashrc文件的最后一行，保存并退出。
 
-  ```
+  ```shell
   export PATH=~/llvm/bin:$PATH
   ```
 
 - 使环境变量生效。
 
-  ```
+  ```shell
   source ~/.bashrc
   ```
 
@@ -199,45 +198,45 @@ sudo apt-get install build-essential && sudo apt-get install gcc && sudo apt-get
 - 提前注册准备码云gitee账号。
 - git工具下载安装
 
-```
+```shell
 sudo apt install git
 sudo apt install git-lfs
 ```
 
 - 生成/添加SSH密钥：生成密钥 使用gitee账号绑定的邮箱生成密钥对
 
-```
+```shell
 ssh-keygen -t ed25519 -C "xxxxx@xxxxx.com"
 ```
 
 - 查看生成的密钥
 
-```
+```shell
 cat ~/.ssh/id_ed25519.pub
 ```
 
 - 复制生成后的 ssh key，返回gitee个人主页，通过主页 「个人设置」->「安全设置」->「SSH 公钥」 ，将生成的“SSH密钥”添加到仓库中。
 - 配置git用户信息
 
-```
+```shell
 git config --global user.name "yourname"
 git config --global user.email "your-email-address"
 git config --global credential.helper store
 ```
 
-#####  准备repo
+##### 准备repo
 
-```
+```shell
 curl https://gitee.com/oschina/repo/raw/fork_flow/repo-py3 > /usr/local/bin/repo  ## 如果没有权限可以，可先将repo下载到当前目录在拷贝
 chmod a+x /usr/local/bin/repo
 pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple requests
 ```
 
-#####  准备系统源码
+##### 准备系统源码
 
-本样例是基于OpenHarmony3.2 Beta版本开发的，所以需要下载OpenHarmony3.2 Beta版。
+本样例是基于OpenHarmony3.2 Beta1版本开发的，所以需要下载OpenHarmony3.2 Beta1版。
 
-```
+```shell
 mkdir ~/OpenHarmony3.2
 cd ~/OpenHarmony3.2
 repo init -u git@gitee.com:openharmony/manifest.git -b OpenHarmony-3.2-Beta1 --no-repo-verify
@@ -245,13 +244,13 @@ repo sync -c
 repo forall -c 'git lfs pull'
 ```
 
-#####  准备开发板适配代码
+##### 准备开发板适配代码
 
 具体仓库地址: [knowledge_demo_travel](https://gitee.com/openharmony-sig/knowledge_demo_travel)
 
 通过git命令下载并拷贝道：OpenHarmony对应目录
 
-```
+```shell
 cd ~
 git clone https://gitee.com/openharmony-sig/knowledge_demo_travel.git --depth=1
 cp -raf knowledge_demo_travel/dev/teamx/GreyWolf_ImageRecognition_LocalAI/ImageRecognition_LocalAI ~/OpenHarmony3.2/applications/sample/camera/ 
@@ -259,7 +258,7 @@ cp -raf knowledge_demo_travel/dev/teamx/GreyWolf_ImageRecognition_LocalAI/ImageR
 
 ##### 准备三方库zxing-cpp代码
 
-```
+```shell
 cd ~
 git clone git@gitee.com:zhong-luping/ohos_zxing_cpp.git
 cp -raf ohos_zxing_cpp/zxing-cpp ~/OpenHarmony3.1/third_party/
@@ -267,7 +266,7 @@ cp -raf ohos_zxing_cpp/zxing-cpp ~/OpenHarmony3.1/third_party/
 
 ##### 准备EasyPR代码
 
-```
+```shell
 cd ~
 git clone git@gitee.com:zhong-luping/ohos_easy-pr.git
 cp -raf ohos_easy-pr/EasyPR ~/OpenHarmony3.2/third_party/
@@ -275,7 +274,7 @@ cp -raf ohos_easy-pr/EasyPR ~/OpenHarmony3.2/third_party/
 
 ##### 准备OpenCV代码
 
-```
+```shell
 cd ~
 git clone git@gitee.com:zhong-luping/ohos_opencv.git
 cp -raf ohos_opencv/opencv ~/OpenHarmony3.2/third_party/
@@ -294,7 +293,7 @@ cp -raf ohos_opencv/opencv ~/OpenHarmony3.2/third_party/
 
 在init字段中添加"start localAI_sample"
 
-```
+```shell
             "name" : "init",
             "cmds" : [
                 "start apphilogcat",
@@ -309,8 +308,8 @@ cp -raf ohos_opencv/opencv ~/OpenHarmony3.2/third_party/
 
 在server字段中添加服务
 
-```
-		{
+```shell
+        {
             "name" : "localAI_sample",
             "path" : ["/bin/localAI_sample"],
             "uid" : 10,
@@ -327,7 +326,7 @@ cp -raf ohos_opencv/opencv ~/OpenHarmony3.2/third_party/
 
 build/lite/components/applications.json文件添加应用：
 
-```
+```shell
     {
       "component": "localAI",
       "description": "localAI samples.",
@@ -352,7 +351,7 @@ build/lite/components/applications.json文件添加应用：
 
 vendor/hisilicon/hispark_taurus/config.json文件applications子系统中添加编译构建：
 
-```
+```shell
       {
         "subsystem": "applications",
         "components": [
@@ -364,13 +363,11 @@ vendor/hisilicon/hispark_taurus/config.json文件applications子系统中添加
       },
 ```
 
-
-
 ### 编译
 
  进入到OpenHarmony系统源码根目录下，输入hb set并选择ipcamera_hispark_taurus
 
-```
+```shell
 hb set  // 如果是第一次编译，Input code path 命令行中键入"./" 指定OpenHarmony工程编译根目录后 回车。
 hb build -f  // 开始全量编译。（hb build 为增量编译）
 ```
@@ -389,11 +386,11 @@ hb build -f  // 开始全量编译。（hb build 为增量编译）
 
 最后重新上电即可烧录。
 
-![](media/hitoo_burn.png)
+![burn](media/hitoo_burn.png)
 
 烧录成功后，使用串口连接。输入如下启动参数。
 
-```
+```shell
 setenv bootcmd "mmc read 0x0 0x80000000 0x800 0x4800; go 0x80000000";
 setenv bootargs "console=ttyAMA0,115200n8 root=emmc fstype=vfat rootaddr=10M rootsize=60M rw";
 save
@@ -412,11 +409,11 @@ reset
 
 将摄像头对准车牌
 
-![](media/licensePlate.png)
+![licensePlate](media/licensePlate.png)
 
-在串口中输入1拍照、输入2将照片提交至百度云进行识别，最终返回识别结果。
+在串口中输入1拍照、输入2进行车牌识别识别，最终返回识别结果。
 
-![](media/getLicensePlate.png)
+![getLicensePlate](media/getLicensePlate.png)
 
 ## 样例联动
 
@@ -430,4 +427,3 @@ reset
 - [L1上运行开源项目车牌识别及移植opencv库](../GreyWolf_EasyPR/readme.md)
 
 - [知识体系](https://gitee.com/openharmony-sig/knowledge)
-