diff --git a/src/rknn/video_service.cc b/src/rknn/video_service.cc
index bc6d2b4..08cf2d3 100644
--- a/src/rknn/video_service.cc
+++ b/src/rknn/video_service.cc
@@ -5,17 +5,14 @@
 #include "rknn/rkYolov5s.hpp"         
 #include "rknn/rknnPool.hpp"          
 #include "spdlog/spdlog.h"
-#include <chrono> // (新增) 用于计时
-#include <algorithm> // (新增)
-
-// (新增) 报警接口函数 (从 rkYolov5s.cc 移入)
+#include <chrono> 
+#include <algorithm> 
 void VideoService::trigger_alarm(int person_id, const cv::Rect& box) {
     printf("[ALARM] Intrusion detected! Person ID: %d at location (%d, %d, %d, %d)\n",
            person_id, box.x, box.y, box.width, box.height);
     // TODO: 在这里实现真正的报警逻辑，例如发送网络消息、写入数据库等。
 }
 
-// (新增) 获取当前时间的函数 (从 rkYolov5s.cc 移入)
 double VideoService::get_current_time_seconds() {
     return std::chrono::duration_cast<std::chrono::duration<double>>(
         std::chrono::high_resolution_clock::now().time_since_epoch()
@@ -249,47 +246,56 @@ void VideoService::draw_results(cv::Mat& frame)
 // (关键修改) 彻底重写处理循环为 "一进一出" 模式
 void VideoService::processing_loop() {
     cv::Mat frame;
-    detect_result_group_t detection_results; // (修改) 存储推理结果
+    detect_result_group_t detection_results;
     
     while (running_) {
+        auto t_start = std::chrono::high_resolution_clock::now();
         if (!capture_.read(frame)) {
             spdlog::warn("VideoService: Failed to read frame from capture. Stopping capture.");
-            running_ = false; // 停止循环
+            running_ = false; 
             break;
         }
+        auto t_read = std::chrono::high_resolution_clock::now();
 
         if (frame.empty()) {
             continue;
         }
 
-        // 1. (并行) 将原始帧放入池中进行推理
         if (rknn_pool_->put(frame) != 0) {
             spdlog::error("VideoService: Failed to put frame into rknnPool. Stopping.");
             running_ = false;
             break;
         }
 
-        // 2. (串行) 立刻取回该帧的推理结果
-        //    这保证了 跟踪 和 绘图 总是按顺序在主线程中执行
         if (rknn_pool_->get(detection_results) != 0) {
             spdlog::error("VideoService: Failed to get frame from rknnPool. Stopping.");
             running_ = false;
             break;
         }
 
-        // 3. (串行) 在主循环中更新唯一的跟踪器
+        auto t_infer = std::chrono::high_resolution_clock::now();
         this->update_tracker(detection_results, frame.size());
 
-        // 4. (串行) 在主循环中将跟踪结果绘制到帧上
         this->draw_results(frame);
-        
-        // 5. (串行) 将处理和绘制完毕的帧推流
+        auto t_track_draw = std::chrono::high_resolution_clock::now();
+
         if (writer_.isOpened()) {
             writer_.write(frame);
         }
+
+        // 打印详细耗时
+        auto t_write = std::chrono::high_resolution_clock::now();
+
+    // (新增) 打印耗时
+    double read_ms = std::chrono::duration_cast<std::chrono::duration<double, std::milli>>(t_read - t_start).count();
+    double infer_ms = std::chrono::duration_cast<std::chrono::duration<double, std::milli>>(t_infer - t_read).count();
+    double track_ms = std::chrono::duration_cast<std::chrono::duration<double, std::milli>>(t_track_draw - t_infer).count();
+    double write_ms = std::chrono::duration_cast<std::chrono::duration<double, std::milli>>(t_write - t_track_draw).count();
+    double total_ms = std::chrono::duration_cast<std::chrono::duration<double, std::milli>>(t_write - t_start).count();
+
+    printf("Loop time: Total=%.1fms [Read=%.1f, Infer=%.1f, Track=%.1f, Write=%.1f]\n", 
+           total_ms, read_ms, infer_ms, track_ms, write_ms);
     } 
     
-    // (修改) 移除排空循环 (Draining loop)
-    // 新的 "一进一出" 逻辑不需要排空，退出即停止
     spdlog::info("VideoService: Processing loop finished.");
 }
\ No newline at end of file