diff --git a/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsFaceDetect.java b/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsFaceDetect.java
new file mode 100644
index 00000000..541d4aad
--- /dev/null
+++ b/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsFaceDetect.java
@@ -0,0 +1,109 @@
+package com.dsideal.aiSupport.Util.DashScope;
+
+import com.alibaba.fastjson.JSON;
+import com.alibaba.fastjson.JSONObject;
+import com.dsideal.aiSupport.Plugin.YamlProp;
+import com.jfinal.kit.Prop;
+import lombok.SneakyThrows;
+import okhttp3.*;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.concurrent.TimeUnit;
+
+import static com.dsideal.aiSupport.AiSupportApplication.getEnvPrefix;
+
+/**
+ * 阿里云达摩院人脸检测API工具类
+ */
+public class DsFaceDetect {
+    private static final Logger log = LoggerFactory.getLogger(DsFaceDetect.class);
+    private static final String API_URL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/face-detect";
+    private static final String API_KEY;
+
+    public static Prop PropKit; // 配置文件工具
+
+    static {
+        //加载配置文件
+        String configFile = "application_{?}.yaml".replace("{?}", getEnvPrefix());
+        PropKit = new YamlProp(configFile);
+        API_KEY = PropKit.get("aliyun.API_KEY");
+    }
+
+    /**
+     * 调用人脸检测API
+     *
+     * @param imageUrl 图片URL
+     * @param ratio    比例，例如"1:1"
+     * @return 检测结果JSON对象
+     * @throws Exception 异常信息
+     */
+    @SneakyThrows
+    public static JSONObject detectFace(String imageUrl, String ratio) {
+        // 创建OkHttpClient，设置超时时间
+        OkHttpClient client = new OkHttpClient().newBuilder()
+                .connectTimeout(30, TimeUnit.SECONDS)
+                .readTimeout(30, TimeUnit.SECONDS)
+                .writeTimeout(30, TimeUnit.SECONDS)
+                .build();
+
+        // 构建请求体
+        JSONObject requestBody = new JSONObject();
+        requestBody.put("model", "emo-detect-v1");
+
+        // 设置输入参数
+        JSONObject input = new JSONObject();
+        input.put("image_url", imageUrl);
+        requestBody.put("input", input);
+
+        // 设置其他参数
+        JSONObject parameters = new JSONObject();
+        parameters.put("ratio", ratio);
+        requestBody.put("parameters", parameters);
+
+        // 创建请求
+        MediaType mediaType = MediaType.parse("application/json");
+        RequestBody body = RequestBody.create(mediaType, requestBody.toJSONString());
+        Request request = new Request.Builder()
+                .url(API_URL)
+                .method("POST", body)
+                .addHeader("Content-Type", "application/json")
+                .addHeader("Authorization", "Bearer " + API_KEY)
+                .build();
+
+        // 发送请求并获取响应
+        log.info("发送人脸检测请求: {}", requestBody.toJSONString());
+        Response response = client.newCall(request).execute();
+
+        // 检查响应状态
+        if (!response.isSuccessful()) {
+            String errorMsg = "人脸检测API请求失败，状态码: " + response.code();
+            log.error(errorMsg);
+            throw new Exception(errorMsg);
+        }
+
+        // 解析响应
+        String responseBody = response.body().string();
+        log.info("人脸检测响应: {}", responseBody);
+
+        return JSON.parseObject(responseBody);
+    }
+
+    /**
+     * 使用示例
+     */
+    @SneakyThrows
+    public static void main(String[] args) {
+        //EMO-detect模型，用于确认输入的人物肖像图片是否符合EMO视频生成模型的输入规范。本文档介绍了该模型提供的图像检测能力的API调用方法。
+        // 图片URL
+        String imageUrl = "https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/BlogImages/202505131058596.png";
+        // 比例
+        String ratio = "1:1";
+
+        // 调用人脸检测API
+        JSONObject result = detectFace(imageUrl, ratio);
+
+        // 处理结果
+        System.out.println("检测结果: " + result.toJSONString());
+    }
+}
\ No newline at end of file
diff --git a/dsAiSupport/target/classes/application_dev.yaml b/dsAiSupport/target/classes/application_dev.yaml
index 2a53c16a..139241e7 100644
--- a/dsAiSupport/target/classes/application_dev.yaml
+++ b/dsAiSupport/target/classes/application_dev.yaml
@@ -76,4 +76,8 @@ GPTNB:
 # 人工智能生成PPT
 AIPPT:
   BASE_URL: https://open.docmee.cn
-  API_KEY: ak_uKoKrRF63333E2lcBq
\ No newline at end of file
+  API_KEY: ak_uKoKrRF63333E2lcBq
+
+# 阿里云API KEY
+aliyun:
+  API_KEY: sk-01d13a39e09844038322108ecdbd1bbc
diff --git a/dsAiSupport/target/classes/application_pro.yaml b/dsAiSupport/target/classes/application_pro.yaml
index cfdc9ea1..feb800d7 100644
--- a/dsAiSupport/target/classes/application_pro.yaml
+++ b/dsAiSupport/target/classes/application_pro.yaml
@@ -76,4 +76,8 @@ GPTNB:
 # 人工智能生成PPT
 AIPPT:
   BASE_URL: https://open.docmee.cn
-  API_KEY: ak_uKoKrRF63333E2lcBq
\ No newline at end of file
+  API_KEY: ak_uKoKrRF63333E2lcBq
+
+# 阿里云API KEY
+aliyun:
+  API_KEY: sk-01d13a39e09844038322108ecdbd1bbc
\ No newline at end of file