diff --git a/api-web/api-interface/src/main/java/com/heyu/api/controller/objectdet/DetectIPCObjectController.java b/api-web/api-interface/src/main/java/com/heyu/api/controller/objectdet/DetectIPCObjectController.java
new file mode 100644
index 0000000..047ec2d
--- /dev/null
+++ b/api-web/api-interface/src/main/java/com/heyu/api/controller/objectdet/DetectIPCObjectController.java
@@ -0,0 +1,79 @@
+package com.heyu.api.controller.objectdet;
+
+
+import com.aliyun.objectdet20191230.models.DetectIPCObjectResponse;
+import com.aliyun.objectdet20191230.models.DetectIPCObjectResponseBody;
+import com.heyu.api.alibaba.handle.objectdet.ADetectIPCObjectHandle;
+import com.heyu.api.alibaba.request.objectdet.ADetectIPCObjectRequest;
+import com.heyu.api.controller.BaseController;
+import com.heyu.api.data.annotation.NotIntercept;
+import com.heyu.api.data.utils.ApiR;
+import com.heyu.api.data.utils.R;
+import com.heyu.api.request.objectdet.DetectIPCObjectReq;
+import com.heyu.api.resp.objectdet.DetectIPCObjectResp;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections.CollectionUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectIPCObject?tab=DOC
+ *
+ * IPC图像目标检测
+ *
+ * DetectIPCObject
+ *
+ * 应用场景
+ * 智能看家:家中有人或宠物移动时可生成高精度视频,实现检测提醒功能。且可以关注宠物在家中的活动状况。
+ * 智能看店:可对门店起到安防作用,尤其是在夜间,可及时知道有人进店。
+ * 智能看厂:安全是厂区非常重要的事情,对于人员在岗以及人员入侵可以起到良好的监管作用。
+ * 特色优势
+ * 适用场景多:适应多种广泛的日常场景的目标检测,室内、室外、家居、店铺、商场、白天、夜间等。
+ * 检测范围广:可检测的目标大小范围广,适用于大目标检测,也适用于较远摄像头下的小目标检测。
+ * 检测效率高:高并发处理,处理时间短。
+ */
+@Slf4j
+@RestController
+@RequestMapping("/object")
+@NotIntercept
+public class DetectIPCObjectController extends BaseController {
+
+
+ @Autowired
+ private ADetectIPCObjectHandle aDetectIPCObjectHandle;
+
+
+ @RequestMapping("/ipc")
+ public R ipc(DetectIPCObjectReq req) {
+
+ List respList = new ArrayList<>();
+
+ ADetectIPCObjectRequest aDetectIPCObjectRequest = new ADetectIPCObjectRequest();
+ aDetectIPCObjectRequest.setImageBase64(req.getImageBase64());
+ aDetectIPCObjectRequest.setImageUrl(req.getImageUrl());
+
+
+ ApiR aR = aDetectIPCObjectHandle.handle(aDetectIPCObjectRequest);
+ if (aR.isSuccess() && isSuccessStatusCode(aR.getData().getStatusCode())) {
+ DetectIPCObjectResponseBody.DetectIPCObjectResponseBodyData responseBodyData = aR.getData().getBody().getData();
+ if (CollectionUtils.isNotEmpty(responseBodyData.getElements())) {
+ for (DetectIPCObjectResponseBody.DetectIPCObjectResponseBodyDataElements element : responseBodyData.getElements()) {
+
+ DetectIPCObjectResp resp = new DetectIPCObjectResp();
+ resp.setScore(element.getScore());
+ resp.setType(element.getType());
+
+ respList.add(resp);
+ }
+
+ }
+ return R.ok().setData(respList);
+
+ }
+ return R.error(aR.getErrorMsg());
+ }
+}
diff --git a/api-web/api-interface/src/main/java/com/heyu/api/request/objectdet/DetectIPCObjectReq.java b/api-web/api-interface/src/main/java/com/heyu/api/request/objectdet/DetectIPCObjectReq.java
new file mode 100644
index 0000000..4b878e4
--- /dev/null
+++ b/api-web/api-interface/src/main/java/com/heyu/api/request/objectdet/DetectIPCObjectReq.java
@@ -0,0 +1,8 @@
+package com.heyu.api.request.objectdet;
+
+import com.heyu.api.request.CommonReq;
+import lombok.Data;
+
+@Data
+public class DetectIPCObjectReq extends CommonReq {
+}
diff --git a/api-web/api-interface/src/main/java/com/heyu/api/resp/objectdet/DetectIPCObjectResp.java b/api-web/api-interface/src/main/java/com/heyu/api/resp/objectdet/DetectIPCObjectResp.java
new file mode 100644
index 0000000..f5f2e14
--- /dev/null
+++ b/api-web/api-interface/src/main/java/com/heyu/api/resp/objectdet/DetectIPCObjectResp.java
@@ -0,0 +1,29 @@
+package com.heyu.api.resp.objectdet;
+
+
+import com.heyu.api.data.dto.BaseResp;
+import lombok.Data;
+
+@Data
+public class DetectIPCObjectResp extends BaseResp {
+
+ /***
+ * 检测框的置信度,取值范围[0.0,1.0]。
+ *
+ * 示例值:
+ * 0.7138671875
+ */
+ public Float score;
+
+ /**
+ * 检测框对应的物体名称,取值如下:
+ *
+ * PERSON:人物
+ * VEHICLE:车辆
+ * CAT:猫
+ * DOG:狗
+ * 示例值:
+ * DOG
+ */
+ public String type;
+}