diff --git a/003_aligned.png b/003_aligned.png
new file mode 100644
index 0000000..d73c3f3
Binary files /dev/null and b/003_aligned.png differ
diff --git a/plugins/ai_face_recog/ai_face_recog_node.cpp b/plugins/ai_face_recog/ai_face_recog_node.cpp
index a12545e..b3f125c 100644
--- a/plugins/ai_face_recog/ai_face_recog_node.cpp
+++ b/plugins/ai_face_recog/ai_face_recog_node.cpp
@@ -13,6 +13,12 @@
 #include <utility>
 #include <vector>
 
+// For test image loading
+#define STB_IMAGE_IMPLEMENTATION
+#define STBI_ONLY_PNG
+#define STBI_NO_FAILURE_STRINGS
+#include "../../third_party/rknpu2/examples/3rdparty/stb/stb_image.h"
+
 #include "ai_scheduler.h"
 #include "face/face_result.h"
 #include "node.h"
@@ -709,6 +715,49 @@ public:
         const float thr_margin = cfg ? cfg->thr_margin : 0.0f;
         LogInfo("[ai_face_recog] start id=" + id_ + " align=" + std::string(align ? "true" : "false") +
                 " thr_accept=" + std::to_string(thr_accept) + " thr_margin=" + std::to_string(thr_margin));
+
+        // ========== TEST: Load aligned image and run inference ==========
+#if defined(RK3588_ENABLE_RKNN)
+        {
+            const char* test_img_path = "./003_aligned.png";
+            int img_w = 0, img_h = 0, img_c = 0;
+            unsigned char* img_data = stbi_load(test_img_path, &img_w, &img_h, &img_c, 3);
+            if (img_data && img_w == 112 && img_h == 112) {
+                std::cerr << "[TEST] Loaded " << test_img_path << " (" << img_w << "x" << img_h << "x" << img_c << ")\n";
+                
+                InferInput in;
+                in.width = 112;
+                in.height = 112;
+                in.is_nhwc = true;
+                in.data = img_data;
+                in.size = 112 * 112 * 3;
+                in.type = RKNN_TENSOR_UINT8;
+                
+                auto r = AiScheduler::Instance().InferBorrowed(model_handle_, in);
+                if (r.success && !r.outputs.empty()) {
+                    std::vector<float> emb;
+                    if (DecodeEmbedding(r.outputs[0], emb)) {
+                        L2Normalize(emb);
+                        std::cerr << "[TEST] RKNN embedding[0:8]: ";
+                        for (int i = 0; i < 8 && i < static_cast<int>(emb.size()); ++i) {
+                            std::cerr << emb[i] << " ";
+                        }
+                        std::cerr << "\n";
+                    } else {
+                        std::cerr << "[TEST] DecodeEmbedding failed\n";
+                    }
+                } else {
+                    std::cerr << "[TEST] Inference failed: " << r.error << "\n";
+                }
+                stbi_image_free(img_data);
+            } else {
+                if (img_data) stbi_image_free(img_data);
+                std::cerr << "[TEST] Skip: " << test_img_path << " not found or wrong size\n";
+            }
+        }
+#endif
+        // ========== END TEST ==========
+
         return true;
     }