diff --git a/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsEmoVideoSynthesis.java b/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsEmoVideoSynthesis.java
index 85715ecf..a4069f53 100644
--- a/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsEmoVideoSynthesis.java
+++ b/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsEmoVideoSynthesis.java
@@ -230,7 +230,7 @@ public class DsEmoVideoSynthesis {
 
             if ("SUCCEEDED".equals(status)) {
                 // 任务成功，获取视频URL
-                videoUrl = result.getJSONObject("output").getString("url");
+                videoUrl = result.getJSONObject("output").getJSONObject("results").getString("video_url");
                 log.info("生成的视频URL: {}", videoUrl);
                 break;
             } else if ("FAILED".equals(status)) {
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
deleted file mode 100644
index 541d4aad..00000000
--- a/dsAiSupport/src/main/java/com/dsideal/aiSupport/Util/DashScope/DsFaceDetect.java
+++ /dev/null
@@ -1,109 +0,0 @@
-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