diff --git a/README_cn.md b/README_cn.md
index b04ea327e495fdb2a0c9cd36fc97ad15a13fd9a4..e6453bf04a2ca51b199ccd31e9a16382e7d4f87b 100644
--- a/README_cn.md
+++ b/README_cn.md
@@ -436,7 +436,7 @@
 
 - **【行业特色】2022.3.26 [智慧城市行业七日课](https://aistudio.baidu.com/aistudio/education/group/info/25620)：** 城市规划、城市治理、智慧政务、交通管理、社区治理
 
-### [产业实践范例教程](./industrial_tutorial/README_cn.md)
+### [产业实践范例教程](./industrial_tutorial/README.md)
 
 - [基于PP-PicoDet增强版的路面垃圾检测](https://aistudio.baidu.com/aistudio/projectdetail/3846170?channelType=0&channel=0)
 
diff --git a/README_en.md b/README_en.md
index 3a67a541cbff42f27d6b47b6df37f7ff1642ec02..d90419543d0df5455dd9ca7751c34cc464bd6a9b 100644
--- a/README_en.md
+++ b/README_en.md
@@ -430,7 +430,7 @@ The comparison between COCO mAP and FPS on Qualcomm Snapdragon 865 processor of
 
 - **[Industrial features] 2022.3.26** **[Smart City Industry Seven-Day Class](https://aistudio.baidu.com/aistudio/education/group/info/25620)** : Urban planning, Urban governance, Smart governance service, Traffic management, community governance.
 
-### [Industrial tutorial examples](./industrial_tutorial/README_cn.md)
+### [Industrial tutorial examples](./industrial_tutorial/README.md)
 
 - [Road litter detection based on PP-PicoDet Plus](https://aistudio.baidu.com/aistudio/projectdetail/3561097)
 
diff --git a/deploy/pipeline/README.md b/deploy/pipeline/README.md
index 983a4835e4e033d999e759d84f005f42584c3c59..ae4636bcbf5cf7465fe27f958c32fca4fa39b9fc 100644
--- a/deploy/pipeline/README.md
+++ b/deploy/pipeline/README.md
@@ -1,10 +1,8 @@
-简体中文
-
 # 实时行人分析工具 PP-Human
 
 **PP-Human是基于飞桨深度学习框架的业界首个开源产业级实时行人分析工具，具有功能丰富，应用广泛和部署高效三大优势。**
 
-![](https://user-images.githubusercontent.com/22989727/178892756-e2717a2c-beb0-4d88-ad32-ca37e24b47f8.gif)
+![](https://user-images.githubusercontent.com/22989727/178965250-14be25c1-125d-4d90-8642-7a9b01fecbe2.gif)
 
 PP-Human支持图片/单镜头视频/多镜头视频多种输入方式，功能覆盖多目标跟踪、属性识别、行为分析及人流量计数与轨迹记录。能够广泛应用于智慧交通、智慧社区、工业巡检等领域。支持服务器端部署及TensorRT加速，T4服务器上可达到实时。
 
diff --git a/industrial_tutorial/README_cn.md b/industrial_tutorial/README.md
similarity index 67%
rename from industrial_tutorial/README_cn.md
rename to industrial_tutorial/README.md
index 19877a022d9cff446206f2261ba8c1a16e0e50fc..851be00edbc5af66de6e69c87d33f38f29582678 100644
--- a/industrial_tutorial/README_cn.md
+++ b/industrial_tutorial/README.md
@@ -1,11 +1,18 @@
 # 产业实践范例
 
-为了缩小基础理论教学与产业落地间的差距，PaddleDetection联合产业头部企业，结合实际经验，选取经典场景，提供了从**数据准备、模型训练优化，到模型部署的全流程可复用方案**，降低产业落地门槛，让大家在真实数据环境下深入地了解这些案例，获取产业实现方案。
+PaddleDetection场景应用覆盖通用，制造，城市，交通行业的主要检测垂类应用，在PP-YOLOE，PP-PicoDet，PP-Human，PP-Vehicle的能力基础之上，以notebook的形式展示利用场景数据微调、模型优化方法、数据增广等内容，为开发者快速落地目标检测应用提供示范与启发。
+
 
 <div  align="center">
   <img src="https://user-images.githubusercontent.com/48054808/167805539-2c9f025e-d52c-4ec1-a8fc-ec19651512e5.png" width="800"/>
 </div>
 
+
+欢迎扫码加入用户交流答疑群
+<div  align="center">
+  <img src="https://user-images.githubusercontent.com/22989727/178965953-845971d8-4f89-4d43-a0cc-9e81ec9ea9c5.jpg" width="200"/>
+</div>
+
 ## 范例列表
 
 - [基于PP-PicoDet的通信塔识别及Android端部署](https://aistudio.baidu.com/aistudio/projectdetail/3561097)