diff --git a/resource/tasks.json b/resource/tasks.json
index 53cd403a72..39bdb29291 100644
--- a/resource/tasks.json
+++ b/resource/tasks.json
@@ -6598,8 +6598,8 @@
             22
         ],
         "maskRange": [
-            150,
-            255
+            0,
+            110
         ]
     },
     "NumberOcrReplace": {
diff --git a/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.cpp b/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.cpp
index a95ca36045..939d544b10 100644
--- a/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.cpp
+++ b/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.cpp
@@ -7,6 +7,7 @@
 #include "Config/Miscellaneous/ItemConfig.h"
 #include "Config/Miscellaneous/StageDropsConfig.h"
 #include "Config/TaskData.h"
+#include "Config/TemplResource.h"
 #include "Utils/ImageIo.hpp"
 #include "Utils/Logger.hpp"
 #include "Vision/MatchImageAnalyzer.h"
@@ -192,9 +193,9 @@ bool asst::StageDropsImageAnalyzer::analyze_drops()
 
             std::string item = match_item(item_roi, drop_type, size - i, size);
             bool use_word_model = item == LMD_ID;
-            int quantity = match_quantity(item_roi, use_word_model);
+            int quantity = match_quantity(item_roi, item, use_word_model);
             if (use_word_model && quantity == 0) {
-                quantity = match_quantity(item_roi, false);
+                quantity = match_quantity(item_roi, item, false);
             }
             Log.info("Item id:", item, ", quantity:", quantity);
 #ifdef ASST_DEBUG
@@ -462,7 +463,8 @@ std::string asst::StageDropsImageAnalyzer::match_item(const Rect& roi, StageDrop
     return result;
 }
 
-int asst::StageDropsImageAnalyzer::match_quantity(const Rect& roi, bool use_word_model)
+std::optional<asst::TextRect> asst::StageDropsImageAnalyzer::match_quantity_string(const asst::Rect& roi,
+                                                                                   bool use_word_model)
 {
     auto task_ptr = Task.get<MatchTaskInfo>("StageDrops-Quantity");
 
@@ -508,7 +510,7 @@ int asst::StageDropsImageAnalyzer::match_quantity(const Rect& roi, bool use_word
     }
 
     if (contours.empty()) {
-        return 0;
+        return std::nullopt;
     }
 
     // 前面的 split 算法经过了大量的测试集验证，分割效果一切正常
@@ -525,10 +527,94 @@ int asst::StageDropsImageAnalyzer::match_quantity(const Rect& roi, bool use_word
     analyzer.set_use_char_model(!use_word_model);
 
     if (!analyzer.analyze()) {
-        return 0;
+        return std::nullopt;
     }
 
-    const auto& result = analyzer.get_result().front();
+    return analyzer.get_result().front();
+}
+
+std::optional<asst::TextRect> asst::StageDropsImageAnalyzer::match_quantity_string(const asst::Rect& roi,
+                                                                                   const std::string& item,
+                                                                                   bool use_word_model)
+{
+    auto task_ptr = Task.get<MatchTaskInfo>("StageDrops-Quantity");
+    auto templ = TemplResource::get_instance().get_templ(item).clone();
+    if (templ.empty()) {
+        Log.error("templ is empty: ", item);
+        return std::nullopt;
+    }
+    cv::resize(templ, templ, cv::Size {}, 0.975, 0.975); // make it more accurate
+
+    MatchImageAnalyzer analyzer(m_image);
+    analyzer.set_templ(templ);
+    analyzer.set_mask_range(1, 255);
+    analyzer.set_mask_with_close(true);
+    analyzer.set_roi(roi);
+    if (!analyzer.analyze()) {
+        return std::nullopt;
+    }
+    Rect new_roi = analyzer.get_result().rect;
+    cv::Mat item_img = m_image(make_rect<cv::Rect>(new_roi));
+
+    // ref: DepotImageAnalyzer::match_quantity
+    cv::Mat quotient;
+    cv::divide(item_img + cv::Scalar { 1, 1, 1 }, templ + cv::Scalar { 1, 1, 1 }, quotient, 255);
+
+    cv::Mat mask_r;
+    cv::Mat mask_g;
+    cv::Mat mask_b;
+    static constexpr int lb = 60;
+    static constexpr int ub = 140;
+    cv::inRange(quotient, cv::Scalar { lb, 0, 0 }, cv::Scalar { ub, 255, 255 }, mask_r);
+    cv::inRange(quotient, cv::Scalar { 0, lb, 0 }, cv::Scalar { 255, ub, 255 }, mask_g);
+    cv::inRange(quotient, cv::Scalar { 0, 0, lb }, cv::Scalar { 255, 255, ub }, mask_b);
+    cv::Mat mask;
+    cv::bitwise_or(mask_r, mask_g, mask);
+    cv::bitwise_or(mask, mask_b, mask);
+
+    cv::Mat templ_mask;
+    cv::inRange(templ, cv::Scalar { 0, 0, 0 }, cv::Scalar { 0, 0, 0 }, templ_mask);
+    cv::bitwise_not(templ_mask, templ_mask);
+    cv::bitwise_and(mask, templ_mask, mask);
+    mask(cv::Rect { 0, 0, mask.cols / 4, mask.rows }) = cv::Scalar { 0, 0, 0 };
+    cv::morphologyEx(mask, mask, cv::MORPH_OPEN, cv::getStructuringElement(cv::MORPH_RECT, { 4, 4 }));
+
+    auto mask_rect = cv::boundingRect(mask);
+    if (mask_rect.height < 20) mask_rect.height = 20;
+
+    cv::Mat ocr_img = m_image.clone();
+    cv::subtract(ocr_img(make_rect<cv::Rect>(new_roi)), templ * 0.41, ocr_img(make_rect<cv::Rect>(new_roi)));
+
+    OcrWithPreprocessImageAnalyzer ocr(ocr_img);
+    ocr.set_task_info("NumberOcrReplace");
+    Rect ocr_roi { new_roi.x + mask_rect.x, new_roi.y + mask_rect.y, mask_rect.width, mask_rect.height };
+    ocr.set_roi(ocr_roi);
+    ocr.set_expansion(0);
+    ocr.set_use_char_model(!use_word_model);
+
+    ocr.set_threshold(task_ptr->mask_range.first, task_ptr->mask_range.second);
+
+    if (!ocr.analyze()) {
+        return std::nullopt;
+    }
+
+    return ocr.get_result().front();
+}
+
+int asst::StageDropsImageAnalyzer::match_quantity(const asst::Rect& roi, const std::string& item, bool use_word_model)
+{
+    TextRect result;
+    // is furniture?
+    if (item.empty() || item == "furni") {
+        auto opt = match_quantity_string(roi, use_word_model);
+        if (!opt) return 0;
+        result = opt.value();
+    }
+    else {
+        auto opt = match_quantity_string(roi, item, use_word_model);
+        if (!opt) return 0;
+        result = opt.value();
+    }
 
 #ifdef ASST_DEBUG
     cv::rectangle(m_image_draw, make_rect<cv::Rect>(result.rect), cv::Scalar(0, 0, 255));
@@ -548,7 +634,7 @@ int asst::StageDropsImageAnalyzer::match_quantity(const Rect& roi, bool use_word
         multiple = 10000;
         digit_str.erase(w_pos, digit_str.size());
     }
-    else if (size_t k_pos = digit_str.find("k"); k_pos != std::string::npos) {
+    else if (size_t k_pos = digit_str.find('k'); k_pos != std::string::npos) {
         multiple = 1000;
         digit_str.erase(k_pos, digit_str.size());
     }
diff --git a/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.h b/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.h
index 92c840470f..4c8640c467 100644
--- a/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.h
+++ b/src/MaaCore/Vision/Miscellaneous/StageDropsImageAnalyzer.h
@@ -2,6 +2,8 @@
 #include "Vision/AbstractImageAnalyzer.h"
 #include "Config/Miscellaneous/StageDropsConfig.h"
 
+#include <optional>
+
 namespace asst
 {
     class StageDropsImageAnalyzer final : public AbstractImageAnalyzer
@@ -27,7 +29,10 @@ namespace asst
         bool analyze_baseline();
         bool analyze_drops();
 
-        int match_quantity(const Rect& roi, bool use_word_model = false);
+        int match_quantity(const Rect& roi, const std::string& item, bool use_word_model = false);
+        std::optional<TextRect> match_quantity_string(const Rect& roi, bool use_word_model = false);
+        std::optional<TextRect> match_quantity_string(const Rect& roi, const std::string& item, bool use_word_model = false);
+
         StageDropType match_droptype(const Rect& roi);
         std::string match_item(const Rect& roi, StageDropType type, int index, int size);