diff --git a/source/application/api/use_case/ad/include/AdModel.hpp b/source/application/api/use_case/ad/include/AdModel.hpp
index 0436a89..d9f8a08 100644
--- a/source/application/api/use_case/ad/include/AdModel.hpp
+++ b/source/application/api/use_case/ad/include/AdModel.hpp
@@ -19,13 +19,14 @@
 
 #include "Model.hpp"
 
-extern const int g_FrameLength;
-extern const int g_FrameStride;
-extern const float g_ScoreThreshold;
-extern const float g_TrainingMean;
-
 namespace arm {
 namespace app {
+    namespace ad {
+        extern const int g_FrameLength;
+        extern const int g_FrameStride;
+        extern const float g_ScoreThreshold;
+        extern const float g_TrainingMean;
+    } /* namespace ad */
 
     class AdModel : public Model {
 
diff --git a/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp b/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
index 3d2f3de..e68cd6d 100644
--- a/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
+++ b/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
@@ -28,11 +28,6 @@
     extern const uint32_t g_NumMfcc;
     extern const uint32_t g_NumAudioWins;
 } /* namespace kws */
-} /* namespace app */
-} /* namespace arm */
-
-namespace arm {
-namespace app {
 
     class MicroNetKwsModel : public Model {
     public:
diff --git a/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp b/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
index 3d2f23c..0cc0809 100644
--- a/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
+++ b/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
@@ -19,12 +19,13 @@
 
 #include "Model.hpp"
 
-extern const uint32_t g_NumInputFeatures;
-extern const uint32_t g_FrameLength;
-extern const uint32_t g_FrameStride;
-
 namespace arm {
 namespace app {
+    namespace rnn {
+        extern const uint32_t g_NumInputFeatures;
+        extern const uint32_t g_FrameLength;
+        extern const uint32_t g_FrameStride;
+    } /* namespace rnn */
 
     class RNNoiseModel : public Model {
     public:
diff --git a/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp b/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
index 30bc123..6a53688 100644
--- a/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
+++ b/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
@@ -26,7 +26,6 @@
 
 namespace arm {
 namespace app {
-
 namespace object_detection {
 
     struct Branch {
diff --git a/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp b/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
index 4c64433..16d0715 100644
--- a/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
+++ b/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
@@ -19,13 +19,16 @@
 
 #include "Model.hpp"
 
-extern const int originalImageSize;
-extern const int channelsImageDisplayed;
-extern const float anchor1[];
-extern const float anchor2[];
-
 namespace arm {
 namespace app {
+    namespace object_detection {
+        extern const int originalImageSize;
+        extern const int channelsImageDisplayed;
+        /* NOTE: anchors are different for any given input model size, estimated during training
+         * phase */
+        extern const float anchor1[];
+        extern const float anchor2[];
+    } /* namespace object_detection */
 
     class YoloFastestModel : public Model {
 
diff --git a/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc b/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
index fb1606a..7610c4f 100644
--- a/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
+++ b/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
@@ -43,45 +43,42 @@
             m_topN(topN)
 {
     /* Init PostProcessing */
-    this->m_net =
-    object_detection::Network {
-        .inputWidth = inputImgCols,
+    this->m_net = object_detection::Network{
+        .inputWidth  = inputImgCols,
         .inputHeight = inputImgRows,
-        .numClasses = numClasses,
-        .branches = {
-            object_detection::Branch {
-                        .resolution = inputImgCols/32,
-                        .numBox = 3,
-                        .anchor = anchor1,
-                        .modelOutput = this->m_outputTensor0->data.int8,
-                        .scale = (static_cast<TfLiteAffineQuantization*>(
-                                this->m_outputTensor0->quantization.params))->scale->data[0],
-                        .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
-                                this->m_outputTensor0->quantization.params))->zero_point->data[0],
-                        .size = this->m_outputTensor0->bytes
-            },
-            object_detection::Branch {
-                    .resolution = inputImgCols/16,
-                    .numBox = 3,
-                    .anchor = anchor2,
-                    .modelOutput = this->m_outputTensor1->data.int8,
-                    .scale = (static_cast<TfLiteAffineQuantization*>(
-                            this->m_outputTensor1->quantization.params))->scale->data[0],
-                    .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
-                            this->m_outputTensor1->quantization.params))->zero_point->data[0],
-                    .size = this->m_outputTensor1->bytes
-            }
-        },
-        .topN = m_topN
-    };
+        .numClasses  = numClasses,
+        .branches =
+            {object_detection::Branch{.resolution  = inputImgCols / 32,
+                                      .numBox      = 3,
+                                      .anchor      = arm::app::object_detection::anchor1,
+                                      .modelOutput = this->m_outputTensor0->data.int8,
+                                      .scale       = (static_cast<TfLiteAffineQuantization*>(
+                                                    this->m_outputTensor0->quantization.params))
+                                                   ->scale->data[0],
+                                      .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
+                                                        this->m_outputTensor0->quantization.params))
+                                                       ->zero_point->data[0],
+                                      .size = this->m_outputTensor0->bytes},
+             object_detection::Branch{.resolution  = inputImgCols / 16,
+                                      .numBox      = 3,
+                                      .anchor      = arm::app::object_detection::anchor2,
+                                      .modelOutput = this->m_outputTensor1->data.int8,
+                                      .scale       = (static_cast<TfLiteAffineQuantization*>(
+                                                    this->m_outputTensor1->quantization.params))
+                                                   ->scale->data[0],
+                                      .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
+                                                        this->m_outputTensor1->quantization.params))
+                                                       ->zero_point->data[0],
+                                      .size = this->m_outputTensor1->bytes}},
+        .topN = m_topN};
     /* End init */
 }
 
 bool DetectorPostProcess::DoPostProcess()
 {
     /* Start postprocessing */
-    int originalImageWidth = originalImageSize;
-    int originalImageHeight = originalImageSize;
+    int originalImageWidth  = arm::app::object_detection::originalImageSize;
+    int originalImageHeight = arm::app::object_detection::originalImageSize;
 
     std::forward_list<image::Detection> detections;
     GetNetworkBoxes(this->m_net, originalImageWidth, originalImageHeight, m_threshold, detections);
diff --git a/source/hal/source/platform/mps3/CMakeLists.txt b/source/hal/source/platform/mps3/CMakeLists.txt
index 46da2fa..332837c 100644
--- a/source/hal/source/platform/mps3/CMakeLists.txt
+++ b/source/hal/source/platform/mps3/CMakeLists.txt
@@ -25,7 +25,7 @@
     DESCRIPTION     "Platform drivers library for MPS3 FPGA/FVP targets"
     LANGUAGES       C CXX ASM)
 
-# 1. We should be cross-compiling (MPS3 taregt only runs Cortex-M targets)
+# 1. We should be cross-compiling (MPS3 target only runs Cortex-M targets)
 if (NOT ${CMAKE_CROSSCOMPILING})
     message(FATAL_ERROR "No ${PLATFORM_DRIVERS_TARGET} support for this target.")
 endif()
diff --git a/source/use_case/ad/src/MainLoop.cc b/source/use_case/ad/src/MainLoop.cc
index c9d763c..4e5edc1 100644
--- a/source/use_case/ad/src/MainLoop.cc
+++ b/source/use_case/ad/src/MainLoop.cc
@@ -22,14 +22,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
+namespace app {
+    namespace ad {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace ad */
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+} /* namespace app */
 } /* namespace arm */
 
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
 enum opcodes
 {
     MENU_OPT_RUN_INF_NEXT = 1,       /* Run on next vector */
@@ -53,7 +54,6 @@
     fflush(stdout);
 }
 
-
 void main_loop()
 {
     arm::app::AdModel model;  /* Model wrapper object. */
@@ -61,9 +61,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen()))
-    {
+                    arm::app::ad::GetModelPointer(),
+                    arm::app::ad::GetModelLen())) {
         printf_err("failed to initialise model\n");
         return;
     }
@@ -75,10 +74,10 @@
     caseContext.Set<arm::app::Profiler&>("profiler", profiler);
     caseContext.Set<arm::app::Model&>("model", model);
     caseContext.Set<uint32_t>("clipIndex", 0);
-    caseContext.Set<uint32_t>("frameLength", g_FrameLength);
-    caseContext.Set<uint32_t>("frameStride", g_FrameStride);
-    caseContext.Set<float>("scoreThreshold", g_ScoreThreshold);
-    caseContext.Set<float>("trainingMean", g_TrainingMean);
+    caseContext.Set<uint32_t>("frameLength", arm::app::ad::g_FrameLength);
+    caseContext.Set<uint32_t>("frameStride", arm::app::ad::g_FrameStride);
+    caseContext.Set<float>("scoreThreshold", arm::app::ad::g_ScoreThreshold);
+    caseContext.Set<float>("trainingMean", arm::app::ad::g_TrainingMean);
 
     /* Main program loop. */
     bool executionSuccessful = true;
diff --git a/source/use_case/ad/usecase.cmake b/source/use_case/ad/usecase.cmake
index 06d7681..d19820d 100644
--- a/source/use_case/ad/usecase.cmake
+++ b/source/use_case/ad/usecase.cmake
@@ -86,4 +86,4 @@
         MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
         DESTINATION ${SRC_GEN_DIR}
         EXPRESSIONS ${EXTRA_MODEL_CODE}
-)
+        NAMESPACE   "arm" "app" "ad")
diff --git a/source/use_case/asr/src/MainLoop.cc b/source/use_case/asr/src/MainLoop.cc
index 354d1f7..290c41c 100644
--- a/source/use_case/asr/src/MainLoop.cc
+++ b/source/use_case/asr/src/MainLoop.cc
@@ -25,11 +25,11 @@
 
 namespace arm {
 namespace app {
-namespace asr {
     static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    extern uint8_t* GetModelPointer();
-    extern size_t GetModelLen();
-} /* namespace asr */
+    namespace asr {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace asr */
 } /* namespace app */
 } /* namespace arm */
 
@@ -64,8 +64,8 @@
     arm::app::Wav2LetterModel model;  /* Model wrapper object. */
 
     /* Load the model. */
-    if (!model.Init(arm::app::asr::tensorArena,
-                    sizeof(arm::app::asr::tensorArena),
+    if (!model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
                     arm::app::asr::GetModelPointer(),
                     arm::app::asr::GetModelLen())) {
         printf_err("Failed to initialise model\n");
diff --git a/source/use_case/img_class/src/MainLoop.cc b/source/use_case/img_class/src/MainLoop.cc
index 86ea2ea..a44a401 100644
--- a/source/use_case/img_class/src/MainLoop.cc
+++ b/source/use_case/img_class/src/MainLoop.cc
@@ -24,14 +24,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace img_class {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace img_class */
+} /* namespace app */
 } /* namespace arm */
 
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
 using ImgClassClassifier = arm::app::Classifier;
 
 void main_loop()
@@ -41,8 +42,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen())) {
+                    arm::app::img_class::GetModelPointer(),
+                    arm::app::img_class::GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
diff --git a/source/use_case/img_class/usecase.cmake b/source/use_case/img_class/usecase.cmake
index 2a8be09..e0b6bc8 100644
--- a/source/use_case/img_class/usecase.cmake
+++ b/source/use_case/img_class/usecase.cmake
@@ -63,4 +63,4 @@
 generate_tflite_code(
     MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
     DESTINATION ${SRC_GEN_DIR}
-    )
+    NAMESPACE   "arm" "app" "img_class")
diff --git a/source/use_case/inference_runner/src/MainLoop.cc b/source/use_case/inference_runner/src/MainLoop.cc
index 28b5c0a..59afa63 100644
--- a/source/use_case/inference_runner/src/MainLoop.cc
+++ b/source/use_case/inference_runner/src/MainLoop.cc
@@ -22,17 +22,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
-} /* namespace arm */
-
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace inference_runner {
 #if defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE)
 
 static uint8_t* GetModelPointer()
 {
     info("Model pointer: 0x%08x\n", DYNAMIC_MODEL_BASE);
-    return reinterpret_cast<uint8_t *>(DYNAMIC_MODEL_BASE);
+    return reinterpret_cast<uint8_t*>(DYNAMIC_MODEL_BASE);
 }
 
 static size_t GetModelLen()
@@ -49,6 +47,9 @@
 extern size_t GetModelLen();
 
 #endif /* defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE) */
+    }  /* namespace inference_runner */
+} /* namespace app */
+} /* namespace arm */
 
 enum opcodes
 {
@@ -63,8 +64,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen())) {
+                    arm::app::inference_runner::GetModelPointer(),
+                    arm::app::inference_runner::GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
diff --git a/source/use_case/inference_runner/usecase.cmake b/source/use_case/inference_runner/usecase.cmake
index c70be71..5a86aa6 100644
--- a/source/use_case/inference_runner/usecase.cmake
+++ b/source/use_case/inference_runner/usecase.cmake
@@ -72,5 +72,5 @@
     generate_tflite_code(
         MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
         DESTINATION ${SRC_GEN_DIR}
-    )
+        NAMESPACE   "arm" "app" "inference_runner")
 endif()
diff --git a/source/use_case/kws/src/MainLoop.cc b/source/use_case/kws/src/MainLoop.cc
index 550e7a1..e0518f2 100644
--- a/source/use_case/kws/src/MainLoop.cc
+++ b/source/use_case/kws/src/MainLoop.cc
@@ -26,11 +26,11 @@
 
 namespace arm {
 namespace app {
-namespace kws {
     static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    extern uint8_t *GetModelPointer();
-    extern size_t GetModelLen();
-} /* namespace kws */
+    namespace kws {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace kws */
 } /* namespace app */
 } /* namespace arm */
 
@@ -64,8 +64,8 @@
     arm::app::MicroNetKwsModel model;  /* Model wrapper object. */
 
     /* Load the model. */
-    if (!model.Init(arm::app::kws::tensorArena,
-                    sizeof(arm::app::kws::tensorArena),
+    if (!model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
                     arm::app::kws::GetModelPointer(),
                     arm::app::kws::GetModelLen())) {
         printf_err("Failed to initialise model\n");
diff --git a/source/use_case/kws_asr/src/MainLoop.cc b/source/use_case/kws_asr/src/MainLoop.cc
index bba4480..0638ecd 100644
--- a/source/use_case/kws_asr/src/MainLoop.cc
+++ b/source/use_case/kws_asr/src/MainLoop.cc
@@ -28,17 +28,17 @@
 
 namespace arm {
 namespace app {
-    static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
 
     namespace asr {
         extern uint8_t* GetModelPointer();
         extern size_t GetModelLen();
-    }
+    } /* namespace asr */
 
     namespace kws {
         extern uint8_t* GetModelPointer();
         extern size_t GetModelLen();
-    }
+    } /* namespace kws */
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
 } /* namespace app */
 } /* namespace arm */
 
diff --git a/source/use_case/noise_reduction/src/MainLoop.cc b/source/use_case/noise_reduction/src/MainLoop.cc
index 257f5cf..bc277da 100644
--- a/source/use_case/noise_reduction/src/MainLoop.cc
+++ b/source/use_case/noise_reduction/src/MainLoop.cc
@@ -22,14 +22,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace rnn {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace rnn */
+} /* namespace app */
 } /* namespace arm */
 
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
 enum opcodes
 {
     MENU_OPT_RUN_INF_NEXT = 1,       /* Run on next vector. */
@@ -74,8 +75,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen())) {
+                    arm::app::rnn::GetModelPointer(),
+                    arm::app::rnn::GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
@@ -85,9 +86,9 @@
 
     arm::app::Profiler profiler{"noise_reduction"};
     caseContext.Set<arm::app::Profiler&>("profiler", profiler);
-    caseContext.Set<uint32_t>("numInputFeatures", g_NumInputFeatures);
-    caseContext.Set<uint32_t>("frameLength", g_FrameLength);
-    caseContext.Set<uint32_t>("frameStride", g_FrameStride);
+    caseContext.Set<uint32_t>("numInputFeatures", arm::app::rnn::g_NumInputFeatures);
+    caseContext.Set<uint32_t>("frameLength", arm::app::rnn::g_FrameLength);
+    caseContext.Set<uint32_t>("frameStride", arm::app::rnn::g_FrameStride);
     caseContext.Set<arm::app::RNNoiseModel&>("model", model);
     SetAppCtxClipIdx(caseContext, 0);
 
diff --git a/source/use_case/noise_reduction/usecase.cmake b/source/use_case/noise_reduction/usecase.cmake
index 0cd0761..199f8e1 100644
--- a/source/use_case/noise_reduction/usecase.cmake
+++ b/source/use_case/noise_reduction/usecase.cmake
@@ -81,7 +81,7 @@
     MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
     DESTINATION ${SRC_GEN_DIR}
     EXPRESSIONS ${EXTRA_MODEL_CODE}
-)
+    NAMESPACE   "arm" "app" "rnn")
 
 
 # For MPS3, allow dumping of output data to memory, based on these parameters:
diff --git a/source/use_case/object_detection/src/MainLoop.cc b/source/use_case/object_detection/src/MainLoop.cc
index 4d70d2d..dc9b693 100644
--- a/source/use_case/object_detection/src/MainLoop.cc
+++ b/source/use_case/object_detection/src/MainLoop.cc
@@ -23,14 +23,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace object_detection {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace object_detection */
+} /* namespace app */
 } /* namespace arm */
 
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
 static void DisplayDetectionMenu()
 {
     printf("\n\n");
@@ -52,8 +53,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen())) {
+                    arm::app::object_detection::GetModelPointer(),
+                    arm::app::object_detection::GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
diff --git a/source/use_case/object_detection/src/UseCaseHandler.cc b/source/use_case/object_detection/src/UseCaseHandler.cc
index 4d0877a..e9bcd4a 100644
--- a/source/use_case/object_detection/src/UseCaseHandler.cc
+++ b/source/use_case/object_detection/src/UseCaseHandler.cc
@@ -27,6 +27,9 @@
 
 namespace arm {
 namespace app {
+    namespace object_detection {
+        extern const int channelsImageDisplayed;
+    } /* namespace object_detection */
 
     /**
      * @brief           Presents inference results along using the data presentation
@@ -122,9 +125,13 @@
 
             /* Display image on the LCD. */
             hal_lcd_display_image(
-                (channelsImageDisplayed == 3) ? currImage : dstPtr,
-                inputImgCols, inputImgRows, channelsImageDisplayed,
-                dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
+                (arm::app::object_detection::channelsImageDisplayed == 3) ? currImage : dstPtr,
+                inputImgCols,
+                inputImgRows,
+                arm::app::object_detection::channelsImageDisplayed,
+                dataPsnImgStartX,
+                dataPsnImgStartY,
+                dataPsnImgDownscaleFactor);
 
             /* Display message on the LCD - inference running. */
             hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
diff --git a/source/use_case/object_detection/usecase.cmake b/source/use_case/object_detection/usecase.cmake
index 850e7fc..b0a07d5 100644
--- a/source/use_case/object_detection/usecase.cmake
+++ b/source/use_case/object_detection/usecase.cmake
@@ -76,4 +76,4 @@
     MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
     DESTINATION ${SRC_GEN_DIR}
     EXPRESSIONS ${EXTRA_MODEL_CODE}
-    )
+    NAMESPACE   "arm" "app" "object_detection")
diff --git a/source/use_case/vww/src/MainLoop.cc b/source/use_case/vww/src/MainLoop.cc
index fae7530..4fb5df7 100644
--- a/source/use_case/vww/src/MainLoop.cc
+++ b/source/use_case/vww/src/MainLoop.cc
@@ -25,14 +25,15 @@
 #include "BufAttributes.hpp"        /* Buffer attributes to be applied */
 
 namespace arm {
-    namespace app {
-        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
-    } /* namespace app */
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace vww {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace vww */
+} /* namespace app */
 } /* namespace arm */
 
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
 using ViusalWakeWordClassifier = arm::app::Classifier;
 
 void main_loop()
@@ -42,8 +43,8 @@
     /* Load the model. */
     if (!model.Init(arm::app::tensorArena,
                     sizeof(arm::app::tensorArena),
-                    GetModelPointer(),
-                    GetModelLen())) {
+                    arm::app::vww::GetModelPointer(),
+                    arm::app::vww::GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
diff --git a/source/use_case/vww/usecase.cmake b/source/use_case/vww/usecase.cmake
index f6a3efe..7ef4596 100644
--- a/source/use_case/vww/usecase.cmake
+++ b/source/use_case/vww/usecase.cmake
@@ -48,7 +48,7 @@
 generate_tflite_code(
     MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
     DESTINATION ${SRC_GEN_DIR}
-)
+    NAMESPACE   "arm" "app" "vww")
 
 # Generate labels file
 set(${use_case}_LABELS_CPP_FILE Labels)