diff --git a/README.md b/README.md
index 78edca6..85ef62f 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,26 @@
 <h1 align="center">Convert Computer Vision model .pt to .hef for Rasberry Pi 5 Hailo AI HAT</h1>  
 
 ## 🔎 Preparation
+<details>
+<summary>1. Prepare docker enviroment </summary>
+
+1. Run this .py code at the same directory with your .pt model:
+```bash
+sudo systemctl stop docker.socket
+sudo systemctl stop docker.service
+
+sudo systemctl status docker
+sudo systemctl status docker.socket
+
+sudo mv /var/lib/docker /home/bob/docker_data
+sudo ln -s /home/bob/docker_data /var/lib/docker
+
+sudo systemctl start docker
+sudo systemctl enable docker
+
+Docker Root Dir: /home/bob/docker_data
+```
+</details>
 1. `Go to the`[`HAILO AI DEVELOPER ZONE`](https://hailo.ai/developer-zone/software-downloads/)`adress and download .zip file with this configration: Software Package[AI Software Suite], Software Sub-Package[AI Software Suite], Architecture[x86], OS[Linux], Python Version[3.8]`
 2. `In model training, place 60%–80% of the photos you use into the train/images folder. The photos should be raw, unlabelled images — there should be no labeling process applied to them. You don’t need labels or a classes.txt file; only the images folder is required.`
 <details>
@@ -26,7 +46,22 @@ model.export(format="onnx")
 1. `unzip hailo8_ai_sw_suite_2025-10_docker.zip -d /home/$USER/docker_hailo`
 2. `Edit your .sh document and delete `
 3. `./hailo_ai_sw_suite_docker_run.sh --override`
- 
+
+sudo systemctl stop docker.socket
+sudo systemctl stop docker.service
+
+sudo systemctl status docker
+sudo systemctl status docker.socket
+
+sudo mv /var/lib/docker /home/bob/docker_data
+sudo ln -s /home/bob/docker_data /var/lib/docker
+
+sudo systemctl start docker
+sudo systemctl enable docker
+
+Docker Root Dir: /home/bob/docker_data
+
+