diff --git a/modules/dnn/src/dnn.cpp b/modules/dnn/src/dnn.cpp
index d8815a5f08ee72b99948a56d3e6e61096abd4aac..ad4741d008c0a4b500db29930b0d8a2eac52f770 100644
--- a/modules/dnn/src/dnn.cpp
+++ b/modules/dnn/src/dnn.cpp
@@ -588,7 +588,8 @@ struct DataLayer : public Layer
         lp.precision = InferenceEngine::Precision::FP32;
         std::shared_ptr<InferenceEngine::ScaleShiftLayer> ieLayer(new InferenceEngine::ScaleShiftLayer(lp));
 
-        CV_Assert(inputsData.size() == 1, inputsData[0].dims == 4);
+        CV_CheckEQ(inputsData.size(), (size_t)1, "");
+        CV_CheckEQ(inputsData[0].dims, 4, "");
         const size_t numChannels = inputsData[0].size[1];
         CV_Assert(numChannels <= 4);
 
@@ -1302,7 +1303,7 @@ struct Net::Impl
             if (!node.empty())
             {
                 Ptr<InfEngineBackendNode> ieNode = node.dynamicCast<InfEngineBackendNode>();
-                CV_Assert(!ieNode.empty(), !ieNode->net.empty());
+                CV_Assert(!ieNode.empty()); CV_Assert(!ieNode->net.empty());
                 layerNet = ieNode->net;
             }
         }
@@ -1316,7 +1317,7 @@ struct Net::Impl
             if (!inpNode.empty())
             {
                 Ptr<InfEngineBackendNode> ieInpNode = inpNode.dynamicCast<InfEngineBackendNode>();
-                CV_Assert(!ieInpNode.empty(), !ieInpNode->net.empty());
+                CV_Assert(!ieInpNode.empty()); CV_Assert(!ieInpNode->net.empty());
                 if (layerNet != ieInpNode->net)
                 {
                     // layerNet is empty or nodes are from different graphs.
@@ -1425,7 +1426,7 @@ struct Net::Impl
                 if (!inpNode.empty())
                 {
                     Ptr<InfEngineBackendNode> ieInpNode = inpNode.dynamicCast<InfEngineBackendNode>();
-                    CV_Assert(!ieInpNode.empty(), !ieInpNode->net.empty());
+                    CV_Assert(!ieInpNode.empty()); CV_Assert(!ieInpNode->net.empty());
                     if (ieInpNode->net != net)
                     {
                         net = Ptr<InfEngineBackendNet>();
diff --git a/modules/dnn/src/layers/prior_box_layer.cpp b/modules/dnn/src/layers/prior_box_layer.cpp
index c1690f996f3baa45155484e5bca6163e345c4418..6be6efa8a66b0fa7e05c3cb59ebe1d3de7e94a5f 100644
--- a/modules/dnn/src/layers/prior_box_layer.cpp
+++ b/modules/dnn/src/layers/prior_box_layer.cpp
@@ -487,8 +487,8 @@ public:
 
         if (_explicitSizes)
         {
-            CV_Assert(!_boxWidths.empty(), !_boxHeights.empty(),
-                      _boxWidths.size() == _boxHeights.size());
+            CV_Assert(!_boxWidths.empty()); CV_Assert(!_boxHeights.empty());
+            CV_Assert(_boxWidths.size() == _boxHeights.size());
             ieLayer->params["width"] = format("%f", _boxWidths[0]);
             ieLayer->params["height"] = format("%f", _boxHeights[0]);
             for (int i = 1; i < _boxWidths.size(); ++i)
@@ -530,7 +530,7 @@ public:
             ieLayer->params["step_h"] = format("%f", _stepY);
             ieLayer->params["step_w"] = format("%f", _stepX);
         }
-        CV_Assert(_offsetsX.size() == 1, _offsetsY.size() == 1, _offsetsX[0] == _offsetsY[0]);
+        CV_CheckEQ(_offsetsX.size(), (size_t)1, ""); CV_CheckEQ(_offsetsY.size(), (size_t)1, ""); CV_CheckEQ(_offsetsX[0], _offsetsY[0], "");
         ieLayer->params["offset"] = format("%f", _offsetsX[0]);
 
         return Ptr<BackendNode>(new InfEngineBackendNode(ieLayer));