diff --git a/uis7885/hardware/BUILD.gn b/uis7885/hardware/BUILD.gn
index af654c05294e7e4c952eff2b8f65df54ca820d62..72da4382793dfef9a8469cdc378c07179e50deef 100644
--- a/uis7885/hardware/BUILD.gn
+++ b/uis7885/hardware/BUILD.gn
@@ -21,6 +21,7 @@ group("hardware_group") {
     "location:location_group",
     "display:display_buffer_model",
     "display:display_composer_model",
-    "camera:camera_group"
+    "camera:camera_group",
+    "npu:npu_group"
   ]
 }
diff --git a/uis7885/hardware/npu/BUILD.gn b/uis7885/hardware/npu/BUILD.gn
new file mode 100644
index 0000000000000000000000000000000000000000..a0744d8c2f2150b53a875ab6da7f09b8cc065ccb
--- /dev/null
+++ b/uis7885/hardware/npu/BUILD.gn
@@ -0,0 +1,105 @@
+import("//build/ohos.gni")
+
+ohos_prebuilt_shared_library("libnnrt_vdi_impl.z.so") {
+    source = "nnrt_vdi/lib64/libnnrt_vdi_impl.z.so"
+
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libuniai.so") {
+    source = "sdk/core/libuniai.so"
+
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("unisoc_NPU_backend.so") {
+    source = "sdk/core/unisoc_NPU_backend.so"
+
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libcxx_shared.so") {
+    source = "sdk/lib64/libc++_shared.so"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libimgcustom.so") {
+    source = "sdk/lib64/libimgcustom.so"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libimgdnn.so") {
+    source = "sdk/lib64/libimgdnn.so"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libnnacompiler.so") {
+    source = "sdk/lib64/libnnacompiler.so"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_shared_library("libnnaruntime.so") {
+    source = "sdk/lib64/libnnaruntime.so"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_etc("npu_img_hwconfig.json") {
+    source = "sdk/etc/npu_img_hwconfig.json"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_etc("npu_img_mapconfig.json") {
+    source = "sdk/etc/npu_img_mapconfig.json"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+ohos_prebuilt_executable("uniai_testbench") {
+    source = "sdk/tools/uniai_testbench"
+    
+    install_images = [ chipset_base_dir ]
+    part_name = "soc_uis7885"
+    install_enable = true
+}
+
+group("npu_group") {
+  deps = [ 
+    ":libnnrt_vdi_impl.z.so",
+    ":libuniai.so",
+    ":unisoc_NPU_backend.so",
+    ":libcxx_shared.so",
+    ":libimgcustom.so",
+    ":libimgdnn.so",
+    ":libnnacompiler.so",
+    ":libnnaruntime.so",
+    ":npu_img_hwconfig.json",
+    ":npu_img_mapconfig.json",
+    ":uniai_testbench", 
+  ]
+}
\ No newline at end of file
diff --git a/uis7885/hardware/npu/nnrt_vdi/lib64/libnnrt_vdi_impl.z.so b/uis7885/hardware/npu/nnrt_vdi/lib64/libnnrt_vdi_impl.z.so
new file mode 100644
index 0000000000000000000000000000000000000000..b7f20ef88922386dde321e3fb4e8e9d6aae24c2a
Binary files /dev/null and b/uis7885/hardware/npu/nnrt_vdi/lib64/libnnrt_vdi_impl.z.so differ
diff --git a/uis7885/hardware/npu/sdk/core/libuniai.so b/uis7885/hardware/npu/sdk/core/libuniai.so
new file mode 100644
index 0000000000000000000000000000000000000000..a65e6adda6803dbd54b3c965ee8257613679a9cd
Binary files /dev/null and b/uis7885/hardware/npu/sdk/core/libuniai.so differ
diff --git a/uis7885/hardware/npu/sdk/core/unisoc_NPU_backend.so b/uis7885/hardware/npu/sdk/core/unisoc_NPU_backend.so
new file mode 100644
index 0000000000000000000000000000000000000000..0222767bf751222fb1c833f12727160ee96101a7
Binary files /dev/null and b/uis7885/hardware/npu/sdk/core/unisoc_NPU_backend.so differ
diff --git a/uis7885/hardware/npu/sdk/etc/npu_img_hwconfig.json b/uis7885/hardware/npu/sdk/etc/npu_img_hwconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..2989cd147c0f6f6029e698edc0ac0b8fdaeeccb3
--- /dev/null
+++ b/uis7885/hardware/npu/sdk/etc/npu_img_hwconfig.json
@@ -0,0 +1,22 @@
+{
+    "arch_name" : "AURA",
+    "bvnc" :
+    [
+            28,
+            3,
+            7500,
+            1502
+    ],
+    "clock_frequency" : 988000000.0,
+    "conv_blocks" : 16,
+    "conv_data_unsign" : 1,
+    "ext_mem_bus_width" : 256,
+    "hw_params" : "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",
+    "int_mem_bus_width" : 256,
+    "max_conv_window_height" : 256,
+    "max_conv_window_width" : 256,
+    "mem_efficiency" : 0.358,
+    "onchip_mem_page_size" : 0,
+    "onchip_mem_size" : 0,
+    "sbuf_data_unsign" : 1
+}
diff --git a/uis7885/hardware/npu/sdk/etc/npu_img_mapconfig.json b/uis7885/hardware/npu/sdk/etc/npu_img_mapconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c46328896f69689115738a9f491a36d4535e06e
--- /dev/null
+++ b/uis7885/hardware/npu/sdk/etc/npu_img_mapconfig.json
@@ -0,0 +1,31 @@
+{
+  "input": {
+    "bits":8,
+    "interleaving":1
+  },
+  "output":{
+    "bits":8
+  },
+  "fast_optim":100,
+  "mapping_features":["force_dsc","disable_use_sw_ewo"],
+  "layer_types": [
+    {
+      "weights": {
+        "bits": 8
+      },
+      "bias": {
+        "bits": 8
+      },
+      "type": "CONV"
+    },
+    {
+      "weights": {
+        "bits": 8
+      },
+      "bias": {
+        "bits": 8
+      },
+      "type": "INNERPRODUCT"
+    }
+  ]
+}
diff --git a/uis7885/hardware/npu/sdk/include/IUniAI.hpp b/uis7885/hardware/npu/sdk/include/IUniAI.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..56bae6bf2a5f3a501a542988ea931e659975964d
--- /dev/null
+++ b/uis7885/hardware/npu/sdk/include/IUniAI.hpp
@@ -0,0 +1,409 @@
+/**
+ * @file UniAIClient.hpp
+ * @brief UniAI interface declaration file
+ * @date 2024-01-03
+ * @copyright Copyright (c) 2024 UNISOC Technologies Co.,Ltd. All Rights
+ * Reserved
+ */
+
+#pragma once
+
+#include <string>
+#include <vector>
+#include <memory>
+#include <array>
+namespace unisoc {
+
+/**
+ * @brief Supported Frontend ML FW, Use to load different network
+ */
+enum class FrontendId {
+  TFlite = 0,     ///< TFlite Framework
+  Onnx = 1,       ///< Onnx Framework
+  TF = 2,
+};
+
+/**
+ * @brief backend device state
+ */
+enum class BackendState {
+  DEVICE_AVAILABLE = 0,
+  DEVICE_UNAVAILABLE = 1,
+  DEVICE_BUSY = 2,
+  DEVICE_INVALID = 3
+};
+
+/**
+ * @brief Supported model type for inference
+ */
+
+enum class ModelType {
+  UniAI_IR = 0,
+  UniAI_NativeModel = 1,  ///< Currently only IR & NativeModel model is supported,
+};
+
+/**
+ * @brief TensorShape
+ * \li m_Dims    : Dim data of each Dims
+ * \li m_NumDims : Dim num
+ */
+struct TensorShape {
+  std::array<unsigned int, 5U> m_Dims;
+  unsigned int m_NumDims;
+};
+
+/**
+ * @brief The priority of Inference
+ */
+enum class Priority {
+    UNDEFINED = 0, ///< reserved, not use now
+    LOW       = 1, ///< Inference with low priority
+    MEDIUM    = 2, ///< Inference with medium priority
+    HIGH      = 3  ///< Inference with high priority
+};
+
+/**
+ * @brief Supported backends for inference
+ */
+
+enum class UniAIBackends {
+  CPU = 0,            ///< CPU backend
+  NPU = 1,            ///< NPU backend
+  GPU = 2,            ///< GPU backend
+  XTENSA = 3          ///< VDSP backend
+};
+
+/**
+ * @brief Model file data type
+ */
+enum class DataType {
+  Float16 = 0,
+  Float32 = 1,
+  QuantisedAsymm8 = 2,
+  QuantisedSymm8 = 3,
+  QSymmS16 = 4,
+  Signed32 = 5,
+  Signed64 = 6,
+};
+
+/**
+ * @brief data layout of the picture
+ */
+enum class DataLayout {
+  UNDEFINED = 0, ///< reserved, not use now
+  NCHW = 1,      ///< [batch, in_channels, in_height, in_weight]
+  NHWC = 2       ///< [batch, in_height, in_weight, in_channels]
+};
+
+/**
+ * @brief Input / Output info of the network
+ */
+struct IoInfo{
+  TensorShape m_Shape;
+  DataLayout m_Layout;
+  DataType m_DataType;
+  std::vector<float> m_Scales;
+  int32_t m_Offset;
+};
+
+/**
+ * @brief Status
+ */
+enum class Status {
+  AI_FAILURE, ///< some errors occur, can see log details, see log details
+  AI_SUCCESS, ///< all operations work successfully
+  AI_UNKNOWN_FRONTEND_ID, ///< the given frontend id is invalid
+  AI_UNKNOWN_BACKEND_ID,  ///< the given backend id is invalid
+  AI_OPTIMIZE_ERROR,      ///< occur optimize error when NetworkCompile
+  AI_SMALL_INPUT_SIZE,    ///< the given input buffer is too small
+  AI_SMALL_OUTPUT_SIZE,   ///< the given output buffer is too small
+  AI_FILE_NOT_FOUND,      ///< the given file path is not found
+  AI_INVALID_NETWORK_ID,  ///< the given network id is invalid
+  AI_INVALID_ARGUMENT,    ///< the given argument is invalid, see log details
+  AI_INVALID_QUANTIZE_DATA_TYPE, ///< the given quantize dtaa type id is invalid
+  AI_INVALID_DATA_TYPE,          ///< the given data type id is invalid
+  AI_PARSE_ERROR, ///< parse error occur, should check input/output nodename
+};
+
+/**
+ * @brief UniAI Tensor for inference
+ */
+class UniAITensor
+{
+  public:
+    /**
+     * @brief Create UniAITensor
+     *
+     * @param inputShape      Dimensions of tensor
+     * @param dataLayout      Arrangement of tensor data @see { DataLayout }
+     * @param dataType        Data type of tensor data @see { DataType }
+     * @param data            The address of tensor data
+     */
+    UniAITensor(TensorShape inputShape, DataLayout dataLayout,
+                DataType dataType, void *data = nullptr);
+
+    /**
+     * @brief Get the data layout of the current UniAITensor
+     *
+     * @return UniAITensor data layout
+     */
+    DataLayout GetLayout() const;
+
+    /**
+     * @brief Get the data type of the current UniAITensor
+     *
+     * @return UniAITensor data type
+     */
+    DataType GetDataType() const;
+
+    /**
+     * @brief Get the shape of the current UniAITensor
+     *
+     * @return std::vector<int> the shape of UniAITensor
+     */
+    TensorShape GetShape() const;
+
+    /**
+     * @brief Get a pointer to UniAITensor data of the specified type
+     *
+     * @return a pointer to data of the specified type
+     */
+    template<typename T>
+    T* buffer() const {
+       T* data = reinterpret_cast<T*>(m_Data);
+      return data;
+    }
+
+  private:
+    /**
+     * @brief UniAITensor data layout
+     */
+    DataLayout m_DataLayout;
+
+    /**
+     * @brief UniAITensor data type
+     */
+    DataType m_DataType;
+
+    /**
+     * @brief UniAITensor shape
+     */
+    TensorShape m_Shape;
+
+    /**
+     * @brief UniAITensor data pointer
+     */
+    void *m_Data;
+};
+
+/**
+ * @brief IUniAI class (Pre-declaration for IUniAIPtr)
+ */
+class IUniAI;
+
+/**
+ * @brief using IUniAIPtr as std::unique_ptr<IUniAI, void (*)(IUniAI
+ * *UniAI)>
+ */
+using IUniAIPtr =
+    std::unique_ptr<IUniAI, void (*)(IUniAI *UniAI)>;
+
+/**
+ * @brief using NetworkId as int to record the current network id, it is relate
+ * to the model file
+ */
+using NetworkId = int;
+
+/**
+ * @brief backend device id, "CPU; NPU"
+ */
+using BackendId = unisoc::UniAIBackends;
+
+
+/**
+ * @brief Compilation Parameter struct of NetworkCompile()
+ */
+struct CompilationParameter
+{
+  CompilationParameter()
+      : networkid()
+      , modelType()
+      , preferentBackendList({UniAIBackends::CPU})
+      , saveCache(false)
+      , cachePath(nullptr)
+      , udoLibPath(nullptr)
+  {
+  }
+  NetworkId networkid;
+  ModelType modelType;
+  std::vector<BackendId> preferentBackendList;
+  bool saveCache;
+  const char *cachePath;
+  const char *udoLibPath;
+};
+
+/**
+ * @brief UniAI class, contains all the public interfaces of UniAI
+ */
+class IUniAI {
+public:
+
+  static IUniAIPtr Create(bool isProfiling = false);
+
+  /**
+   * @brief Create UniAI init dynamic backend path
+   *
+   * @param dynamicBackendPath      dynamic backends path
+   * @return IUniAIPtr          the pointer to IUniAI @see {
+   * IUniAIPtr }
+   */
+  static IUniAIPtr Create(const char *dynamicBackendPath, bool isProfiling = false);
+
+  /**
+   * @brief Destory UniAI env
+   *
+   * @param UniAI the pointer to IUniAI @see { IUniAI }
+   */
+  static void Destroy(IUniAI *UniAI);
+
+  /**
+   * @brief Destory network
+   *
+   * @param networkid : network id, it is relate to the model file @see {
+   * NetworkId }
+   */
+  virtual void DestroyNetwork(NetworkId networkid) = 0;
+
+  /**
+   * @brief Get backend id list supported by UniAI
+   *
+   * @return std::vector<BackendId> the backend id list supported by UniAI
+   */
+  virtual std::vector<BackendId> GetSupportBackendId() = 0;
+
+  /**
+   * @brief Get the backend state selected by the user
+   *
+   * @param id            : backend id supported by UniAI @see { BackendId }
+   * @return BackendState : backend state @see { BackendState }
+   */
+  virtual BackendState GetBackendState(const BackendId id) = 0;
+
+  /**
+   * @brief Get Data Type supported by UniAI
+   *
+   * @return data type list supported by UniAI
+   */
+  virtual std::vector<DataType> GetSupportedDataType() = 0;
+
+  /**
+   * @brief LoadNetwork from binary file
+   *
+   * @param modelPath              The storage path of the model file
+   * @param networkid              network id, it is relate to the model file
+   * @see { NetworkId }
+   * @param modelType              modelType, type of the modle
+   * @see { ModelType }
+   * @return Status                Success will return 1, Failure will return 0
+   * @see { Status }
+   */
+  virtual Status LoadNetwork(const char* modelPath, NetworkId &networkid, ModelType& modelType) = 0;
+
+  /**
+   * @brief compile network
+   *
+   * @param networkid              network id, it is relate to the model file
+   * @see { NetworkId }
+   * @param modelType              modelType, type of the modle
+   * @see { ModelType }
+   * @param preferentBackendList   Compile network with the backend list
+   * @return Status                Success will return 1, Failure will return 0
+   * @see { Status }
+   */
+  virtual Status NetworkCompile(NetworkId& networkid, ModelType modelType,
+                 const std::vector<BackendId> &preferentBackendList, bool saveCache = false, const char* cachePath = nullptr) = 0;
+
+  /**
+   * @brief get network input names
+   *
+   * @param networkid              network id
+   * @see { NetworkId }
+   * @return vector of Network input names
+   */
+  virtual std::vector<std::string>
+              GetNetworkInputNames(const NetworkId networkid) = 0;
+
+  /**
+   * @brief get network output names
+   *
+   * @param networkid              network id
+   * @see { NetworkId }
+   * @return vector of Network output names
+   */
+  virtual std::vector<std::string>
+              GetNetworkOutputNames(const NetworkId networkid) = 0;
+
+  /**
+   * @brief Run Model file
+   *
+   * @param networkid  network id, it is relate to the model file @see {
+   * NetworkId }
+   * @param inputData  Input data @see { UniAITensor }
+   * @param outputData The result of Inference @see { UniAITensor }
+   * @param priority   The priority of Inference @see { priority }
+   * @return           Status Success will return 1, Failure will return 0 @see
+   * { Status }
+   */
+  virtual Status Inference(const NetworkId networkid,
+                           std::vector<UniAITensor> &inputTensors,
+                           std::vector<UniAITensor> &outputTensors) = 0;
+
+  /**
+   * @brief Get AISDK VERSION
+   *
+   * @return  AISDK VERSION string
+   */
+  virtual std::string GetUniAISdkVersion() = 0;
+
+  /**
+   * @brief record avaliable network ids
+   */
+  std::vector<NetworkId> m_NetworkIds;
+
+  /**
+   * @brief Get Inputs info
+   *
+   * @return std::vector<IoInfo> the inputs info list
+   */
+  virtual  std::vector<IoInfo> GetInputAttributeInfo(NetworkId id) = 0;
+
+  /**
+   * @brief Get Outputs info
+   *
+   * @return std::vector<IoInfo> the outputs info list
+   */
+  virtual  std::vector<IoInfo> GetOutputAttributeInfo(NetworkId id) = 0;
+
+  /**
+   * @brief compile network
+   *
+   * @param CompilationParameter  Compilation Parameter struct to avoid too much input Parameter.
+   */
+  virtual Status NetworkCompile(CompilationParameter& compilationParameter) = 0;
+
+  /**
+   * @brief LoadNetwork from memory buffer
+   *
+   * @param modelBuffer            The memory buffer of the model file
+   * @param bufferSize             The size of model memory buffer
+   * @param networkid              network id, it is relate to the model file
+   * @see { NetworkId }
+   * @param modelType              modelType, type of the modle
+   * @see { ModelType }
+   * @return Status                Success will return 1, Failure will return 0
+   * @see { Status }
+   */
+  virtual Status LoadNetwork(const void* modelBuffer, const size_t bufferSize, NetworkId &networkid, ModelType& modelType) = 0;
+};
+
+} // namespace unisoc
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