diff --git a/doc/src/install.md b/doc/src/install.md
index fd42224d..01049a2f 100644
--- a/doc/src/install.md
+++ b/doc/src/install.md
@@ -43,14 +43,6 @@ bash setup.sh
 source tools/venv/bin/activate
 ```
 
-- Besides, installing AutoLog via `git`:
-```bash
-git clone https://github.com/LDOUBLEV/AutoLog
-pip3 install -r requirements.txt
-python3 setup.py bdist_wheel
-pip3 install ./dist/AutoLog-1.0.0-py3-none-any.whl
-```
-
 ## Running in Docker Container (optional)
 
 Docker is an open source tool to build, ship, and run distributed applications in an isolated environment. A Docker image for this project has been provided in [hub.docker.com](https://hub.docker.com) with all the dependencies installed. This Docker image requires the support of NVIDIA GPU, so please make sure its availiability and the [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) has been installed.
diff --git a/setup.sh b/setup.sh
index 11daa102..0c602e61 100644
--- a/setup.sh
+++ b/setup.sh
@@ -43,6 +43,23 @@ if [ $? != 0 ]; then
     rm libsndfile-1.0.28.tar.gz
 fi
 
+#install auto-log
+python3 -c "import auto_log"
+if [ $? != 0 ]; then
+    info_msg "Install auto_log into default system path"
+    git clone https://github.com/LDOUBLEV/AutoLog
+    if [ $? != 0 ]; then
+        error_msg "Download auto_log failed !!!"
+        exit 1
+    fi
+    cd AutoLog
+    pip3 install -r requirements.txt
+    python3 setup.py bdist_wheel
+    pip3 install ./dist/[Aa]uto*.whl
+    cd ..
+    rm -rf AutoLog
+fi 
+
 # install decoders
 python3 -c "import pkg_resources; pkg_resources.require(\"swig_decoders==1.1\")"
 if [ $? != 0 ]; then
@@ -66,4 +83,5 @@ if [ $? != 0 ]; then
 fi
 popd
 
+
 info_msg "Install all dependencies successfully."