diff --git a/Dockerfile b/Dockerfile
index ce77396..276ed98 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -28,7 +28,9 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir -r requirements.txt && \
     pip install --no-cache-dir gunicorn && \
-    which gunicorn || echo "Gunicorn installed via python -m"
+    python -m pip install --force-reinstall gunicorn && \
+    python -c "import gunicorn; print(f'Gunicorn version: {gunicorn.__version__}')" && \
+    python -m gunicorn --version || echo "Gunicorn installed, using python -m gunicorn"
 
 # 复制应用代码
 COPY . .
@@ -49,5 +51,5 @@ HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
 # 使用gunicorn启动应用（生产环境）
 # 注意：默认配置使用2个worker，适合1GB+内存的机器
 # 如果机器内存较小（512MB-1GB），建议修改为 "--workers", "1"
-# 使用 python -m gunicorn 确保可以找到 gunicorn
+# 使用 python -m gunicorn 确保可以找到 gunicorn（即使可执行文件不在PATH中也能工作）
 CMD ["python", "-m", "gunicorn", "--bind", "0.0.0.0:5000", "--workers", "2", "--timeout", "120", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]
diff --git a/Dockerfile.low-mem b/Dockerfile.low-mem
index e5dd9ec..424a124 100644
--- a/Dockerfile.low-mem
+++ b/Dockerfile.low-mem
@@ -40,7 +40,11 @@ RUN echo "scikit-learn>=1.3.0" > requirements-minimal.txt && \
     echo "gunicorn" >> requirements-minimal.txt
 
 # 安装Python依赖（使用最小化依赖，opencv使用headless版本）
-RUN pip install --no-cache-dir -r requirements-minimal.txt
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements-minimal.txt && \
+    python -m pip install --force-reinstall gunicorn && \
+    python -c "import gunicorn; print(f'Gunicorn version: {gunicorn.__version__}')" && \
+    python -m gunicorn --version || echo "Gunicorn installed, using python -m gunicorn"
 
 # 复制应用代码
 COPY . .
@@ -59,5 +63,6 @@ HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
     CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()" || exit 1
 
 # 使用gunicorn启动应用（小内存配置：单worker，减少内存占用）
-CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--threads", "2", "--timeout", "120", "--worker-class", "sync", "--max-requests", "1000", "--max-requests-jitter", "100", "--preload", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]
+# 使用 python -m gunicorn 确保可以找到 gunicorn（即使可执行文件不在PATH中也能工作）
+CMD ["python", "-m", "gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--threads", "2", "--timeout", "120", "--worker-class", "sync", "--max-requests", "1000", "--max-requests-jitter", "100", "--preload", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]
 
diff --git a/requirements.txt b/requirements.txt
index 001c6f5..df895ce 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -34,3 +34,4 @@ kivymd>=1.1.1
 # Web端支持 (必需)
 Flask>=3.0.0
 Werkzeug>=3.0.0
+gunicorn>=21.2.0  # Web服务器（生产环境必需）