diff --git a/configure b/configure
index 99388e7664..90caa26107 100755
--- a/configure
+++ b/configure
@@ -2459,6 +2459,7 @@ HAVE_LIST="
     texi2html
     xmllint
     zlib_gzip
+    openvino2
 "
 
 # options emitted with CONFIG_ prefix but not available on the command line
@@ -6767,8 +6768,9 @@ enabled libopenh264       && require_pkg_config libopenh264 openh264 wels/codec_
 enabled libopenjpeg       && { check_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version ||
                                { require_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version -DOPJ_STATIC && add_cppflags -DOPJ_STATIC; } }
 enabled libopenmpt        && require_pkg_config libopenmpt "libopenmpt >= 0.2.6557" libopenmpt/libopenmpt.h openmpt_module_create -lstdc++ && append libopenmpt_extralibs "-lstdc++"
-enabled libopenvino       && { check_pkg_config libopenvino openvino c_api/ie_c_api.h ie_c_api_version ||
-                               require libopenvino c_api/ie_c_api.h ie_c_api_version -linference_engine_c_api; }
+enabled libopenvino       && { { check_pkg_config libopenvino openvino openvino/c/openvino.h ov_core_create && enable openvino2; } ||
+                                { check_pkg_config libopenvino openvino c_api/ie_c_api.h ie_c_api_version ||
+                                  require libopenvino c_api/ie_c_api.h ie_c_api_version -linference_engine_c_api; } }
 enabled libopus           && {
     enabled libopus_decoder && {
         require_pkg_config libopus opus opus_multistream.h opus_multistream_decoder_create
diff --git a/libavfilter/dnn/dnn_backend_openvino.c b/libavfilter/dnn/dnn_backend_openvino.c
index 46cbe8270e..4922833b07 100644
--- a/libavfilter/dnn/dnn_backend_openvino.c
+++ b/libavfilter/dnn/dnn_backend_openvino.c
@@ -32,7 +32,11 @@
 #include "libavutil/detection_bbox.h"
 #include "../internal.h"
 #include "safe_queue.h"
+#if HAVE_OPENVINO2
+#include <openvino/c/openvino.h>
+#else
 #include <c_api/ie_c_api.h>
+#endif
 #include "dnn_backend_common.h"
 
 typedef struct OVOptions{
@@ -51,9 +55,20 @@ typedef struct OVContext {
 typedef struct OVModel{
     OVContext ctx;
     DNNModel *model;
+#if HAVE_OPENVINO2
+    ov_core_t *core;
+    ov_model_t *ov_model;
+    ov_compiled_model_t *compiled_model;
+    ov_output_const_port_t* input_port;
+    ov_preprocess_input_info_t* input_info;
+    ov_output_const_port_t* output_port;
+    ov_preprocess_output_info_t* output_info;
+    ov_preprocess_prepostprocessor_t* preprocess;
+#else
     ie_core_t *core;
     ie_network_t *network;
     ie_executable_network_t *exe_network;
+#endif
     SafeQueue *request_queue;   // holds OVRequestItem
     Queue *task_queue;          // holds TaskItem
     Queue *lltask_queue;     // holds LastLevelTaskItem
@@ -63,10 +78,15 @@ typedef struct OVModel{
 
 // one request for one call to openvino
 typedef struct OVRequestItem {
-    ie_infer_request_t *infer_request;
     LastLevelTaskItem **lltasks;
     uint32_t lltask_count;
+#if HAVE_OPENVINO2
+    ov_infer_request_t *infer_request;
+    ov_callback_t callback;
+#else
     ie_complete_call_back_t callback;
+    ie_infer_request_t *infer_request;
+#endif
 } OVRequestItem;
 
 #define APPEND_STRING(generated_string, iterate_string)                                            \
@@ -85,11 +105,61 @@ static const AVOption dnn_openvino_options[] = {
 
 AVFILTER_DEFINE_CLASS(dnn_openvino);
 
+#if HAVE_OPENVINO2
+static const struct {
+    ov_status_e status;
+    int         av_err;
+    const char *desc;
+} ov2_errors[] = {
+    { OK,                     0,                  "success"                },
+    { GENERAL_ERROR,          AVERROR_EXTERNAL,   "general error"          },
+    { NOT_IMPLEMENTED,        AVERROR(ENOSYS),    "not implemented"        },
+    { NETWORK_NOT_LOADED,     AVERROR_EXTERNAL,   "network not loaded"     },
+    { PARAMETER_MISMATCH,     AVERROR(EINVAL),    "parameter mismatch"     },
+    { NOT_FOUND,              AVERROR_EXTERNAL,   "not found"              },
+    { OUT_OF_BOUNDS,          AVERROR(EOVERFLOW), "out of bounds"          },
+    { UNEXPECTED,             AVERROR_EXTERNAL,   "unexpected"             },
+    { REQUEST_BUSY,           AVERROR(EBUSY),     "request busy"           },
+    { RESULT_NOT_READY,       AVERROR(EBUSY),     "result not ready"       },
+    { NOT_ALLOCATED,          AVERROR(ENODATA),   "not allocated"          },
+    { INFER_NOT_STARTED,      AVERROR_EXTERNAL,   "infer not started"      },
+    { NETWORK_NOT_READ,       AVERROR_EXTERNAL,   "network not read"       },
+    { INFER_CANCELLED,        AVERROR(ECANCELED), "infer cancelled"        },
+    { INVALID_C_PARAM,        AVERROR(EINVAL),    "invalid C parameter"    },
+    { UNKNOWN_C_ERROR,        AVERROR_UNKNOWN,    "unknown C error"        },
+    { NOT_IMPLEMENT_C_METHOD, AVERROR(ENOSYS),    "not implement C method" },
+    { UNKNOW_EXCEPTION,       AVERROR_UNKNOWN,    "unknown exception"      },
+};
+
+static int ov2_map_error(ov_status_e status, const char **desc)
+{
+    int i;
+    for (i = 0; i < FF_ARRAY_ELEMS(ov2_errors); i++) {
+        if (ov2_errors[i].status == status) {
+            if (desc)
+                *desc = ov2_errors[i].desc;
+            return ov2_errors[i].av_err;
+        }
+    }
+    if (desc)
+        *desc = "unknown error";
+    return AVERROR_UNKNOWN;
+}
+#endif
+
+#if HAVE_OPENVINO2
+static DNNDataType precision_to_datatype(ov_element_type_e precision)
+#else
 static DNNDataType precision_to_datatype(precision_e precision)
+#endif
 {
     switch (precision)
     {
+#if HAVE_OPENVINO2
+    case F32:
+#else
     case FP32:
+#endif
         return DNN_FLOAT;
     case U8:
         return DNN_UINT8;
@@ -115,20 +185,61 @@ static int get_datatype_size(DNNDataType dt)
 
 static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
 {
+    DNNData input;
+    LastLevelTaskItem *lltask;
+    TaskItem *task;
+    OVContext *ctx = &ov_model->ctx;
+#if HAVE_OPENVINO2
+    int64_t* dims;
+    ov_status_e status;
+    ov_tensor_t* tensor = NULL;
+    ov_shape_t input_shape = {0};
+    ov_element_type_e precision;
+    void *input_data_ptr = NULL;
+#else
     dimensions_t dims;
     precision_e precision;
     ie_blob_buffer_t blob_buffer;
-    OVContext *ctx = &ov_model->ctx;
     IEStatusCode status;
-    DNNData input;
     ie_blob_t *input_blob = NULL;
-    LastLevelTaskItem *lltask;
-    TaskItem *task;
+#endif
 
     lltask = ff_queue_peek_front(ov_model->lltask_queue);
     av_assert0(lltask);
     task = lltask->task;
 
+#if HAVE_OPENVINO2
+    if (!ov_model_is_dynamic(ov_model->ov_model)) {
+        ov_output_const_port_free(ov_model->input_port);
+        status = ov_model_const_input_by_name(ov_model->ov_model, task->input_name, &ov_model->input_port);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port shape.\n");
+            return ov2_map_error(status, NULL);
+        }
+        status = ov_const_port_get_shape(ov_model->input_port, &input_shape);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port shape.\n");
+            return ov2_map_error(status, NULL);
+        }
+        dims = input_shape.dims;
+        status = ov_port_get_element_type(ov_model->input_port, &precision);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port data type.\n");
+            return ov2_map_error(status, NULL);
+        }
+    } else {
+        avpriv_report_missing_feature(ctx, "Do not support dynamic model.");
+        return AVERROR(ENOSYS);
+    }
+    input.height = dims[2];
+    input.width = dims[3];
+    input.channels = dims[1];
+    input.dt = precision_to_datatype(precision);
+    input.data = av_malloc(input.height * input.width * input.channels * get_datatype_size(input.dt));
+    if (!input.data)
+        return AVERROR(ENOMEM);
+    input_data_ptr = input.data;
+#else
     status = ie_infer_request_get_blob(request->infer_request, task->input_name, &input_blob);
     if (status != OK) {
         av_log(ctx, AV_LOG_ERROR, "Failed to get input blob with name %s\n", task->input_name);
@@ -149,12 +260,12 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
         av_log(ctx, AV_LOG_ERROR, "Failed to get input blob buffer\n");
         return DNN_GENERIC_ERROR;
     }
-
     input.height = dims.dims[2];
     input.width = dims.dims[3];
     input.channels = dims.dims[1];
     input.data = blob_buffer.buffer;
     input.dt = precision_to_datatype(precision);
+#endif
     // all models in openvino open model zoo use BGR as input,
     // change to be an option when necessary.
     input.order = DCO_BGR;
@@ -187,29 +298,82 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
             av_assert0(!"should not reach here");
             break;
         }
+#if HAVE_OPENVINO2
+        status = ov_tensor_create_from_host_ptr(precision, input_shape, input.data, &tensor);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to create tensor from host prt.\n");
+            return ov2_map_error(status, NULL);
+        }
+        status = ov_infer_request_set_input_tensor(request->infer_request, tensor);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to Set an input tensor for the model.\n");
+            return ov2_map_error(status, NULL);
+        }
+#endif
         input.data = (uint8_t *)input.data
                      + input.width * input.height * input.channels * get_datatype_size(input.dt);
     }
+#if HAVE_OPENVINO2
+    av_freep(&input_data_ptr);
+#else
     ie_blob_free(&input_blob);
+#endif
 
     return 0;
 }
 
 static void infer_completion_callback(void *args)
 {
-    dimensions_t dims;
-    precision_e precision;
-    IEStatusCode status;
     OVRequestItem *request = args;
     LastLevelTaskItem *lltask = request->lltasks[0];
     TaskItem *task = lltask->task;
     OVModel *ov_model = task->model;
     SafeQueue *requestq = ov_model->request_queue;
-    ie_blob_t *output_blob = NULL;
-    ie_blob_buffer_t blob_buffer;
     DNNData output;
     OVContext *ctx = &ov_model->ctx;
+#if HAVE_OPENVINO2
+    size_t* dims;
+    ov_status_e status;
+    ov_tensor_t *output_tensor;
+    ov_shape_t output_shape = {0};
+    ov_element_type_e precision;
+
+    status = ov_infer_request_get_output_tensor_by_index(request->infer_request, 0, &output_tensor);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR,
+               "Failed to get output tensor.");
+        return;
+    }
+
+    status = ov_tensor_data(output_tensor, &output.data);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR,
+               "Failed to get output data.");
+        return;
+    }
 
+    status = ov_tensor_get_shape(output_tensor, &output_shape);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get output port shape.\n");
+        return;
+    }
+    dims = output_shape.dims;
+
+    status = ov_port_get_element_type(ov_model->output_port, &precision);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get output port data type.\n");
+        return;
+    }
+    output.channels = dims[1];
+    output.height   = dims[2];
+    output.width    = dims[3];
+    av_assert0(request->lltask_count <= dims[0]);
+#else
+    IEStatusCode status;
+    dimensions_t dims;
+    ie_blob_t *output_blob = NULL;
+    ie_blob_buffer_t blob_buffer;
+    precision_e precision;
     status = ie_infer_request_get_blob(request->infer_request, task->output_names[0], &output_blob);
     if (status != OK) {
         av_log(ctx, AV_LOG_ERROR,
@@ -232,14 +396,14 @@ static void infer_completion_callback(void *args)
         av_log(ctx, AV_LOG_ERROR, "Failed to get dims or precision of output\n");
         return;
     }
-
+    output.data     = blob_buffer.buffer;
     output.channels = dims.dims[1];
     output.height   = dims.dims[2];
     output.width    = dims.dims[3];
+    av_assert0(request->lltask_count <= dims.dims[0]);
+#endif
     output.dt       = precision_to_datatype(precision);
-    output.data     = blob_buffer.buffer;
 
-    av_assert0(request->lltask_count <= dims.dims[0]);
     av_assert0(request->lltask_count >= 1);
     for (int i = 0; i < request->lltask_count; ++i) {
         task = request->lltasks[i]->task;
@@ -281,11 +445,16 @@ static void infer_completion_callback(void *args)
         output.data = (uint8_t *)output.data
                       + output.width * output.height * output.channels * get_datatype_size(output.dt);
     }
+#if !HAVE_OPENVINO2
     ie_blob_free(&output_blob);
-
+#endif
     request->lltask_count = 0;
     if (ff_safe_queue_push_back(requestq, request) < 0) {
+#if HAVE_OPENVINO2
+        ov_infer_request_free(request->infer_request);
+#else
         ie_infer_request_free(&request->infer_request);
+#endif
         av_freep(&request);
         av_log(ctx, AV_LOG_ERROR, "Failed to push back request_queue.\n");
         return;
@@ -299,7 +468,11 @@ static void dnn_free_model_ov(DNNModel **model)
         while (ff_safe_queue_size(ov_model->request_queue) != 0) {
             OVRequestItem *item = ff_safe_queue_pop_front(ov_model->request_queue);
             if (item && item->infer_request) {
+#if HAVE_OPENVINO2
+                ov_infer_request_free(item->infer_request);
+#else
                 ie_infer_request_free(&item->infer_request);
+#endif
             }
             av_freep(&item->lltasks);
             av_freep(&item);
@@ -319,13 +492,23 @@ static void dnn_free_model_ov(DNNModel **model)
             av_freep(&item);
         }
         ff_queue_destroy(ov_model->task_queue);
-
+#if HAVE_OPENVINO2
+        if (ov_model->preprocess)
+            ov_preprocess_prepostprocessor_free(ov_model->preprocess);
+        if (ov_model->compiled_model)
+            ov_compiled_model_free(ov_model->compiled_model);
+        if (ov_model->ov_model)
+            ov_model_free(ov_model->ov_model);
+        if (ov_model->core)
+            ov_core_free(ov_model->core);
+#else
         if (ov_model->exe_network)
             ie_exec_network_free(&ov_model->exe_network);
         if (ov_model->network)
             ie_network_free(&ov_model->network);
         if (ov_model->core)
             ie_core_free(&ov_model->core);
+#endif
         av_freep(&ov_model);
         av_freep(model);
     }
@@ -336,16 +519,106 @@ static int init_model_ov(OVModel *ov_model, const char *input_name, const char *
 {
     int ret = 0;
     OVContext *ctx = &ov_model->ctx;
+#if HAVE_OPENVINO2
+    ov_status_e status;
+    ov_preprocess_input_tensor_info_t* input_tensor_info;
+    ov_preprocess_output_tensor_info_t* output_tensor_info;
+    ov_model_t *tmp_ov_model;
+    ov_layout_t* NHWC_layout = NULL;
+    const char* NHWC_desc = "NHWC";
+    const char* device = ctx->options.device_type;
+#else
     IEStatusCode status;
     ie_available_devices_t a_dev;
     ie_config_t config = {NULL, NULL, NULL};
     char *all_dev_names = NULL;
+#endif
 
     // batch size
     if (ctx->options.batch_size <= 0) {
         ctx->options.batch_size = 1;
     }
+#if HAVE_OPENVINO2
+    if (ctx->options.batch_size > 1) {
+        avpriv_report_missing_feature(ctx, "Do not support batch_size > 1 for now,"
+                                           "change batch_size to 1.\n");
+        ctx->options.batch_size = 1;
+    }
+
+    status = ov_preprocess_prepostprocessor_create(ov_model->ov_model, &ov_model->preprocess);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to create preprocess for ov_model.\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    status = ov_preprocess_prepostprocessor_get_input_info_by_name(ov_model->preprocess, input_name, &ov_model->input_info);
+    status |= ov_preprocess_prepostprocessor_get_output_info_by_name(ov_model->preprocess, output_name, &ov_model->output_info);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get input/output info from preprocess.\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    status = ov_preprocess_input_info_get_tensor_info(ov_model->input_info, &input_tensor_info);
+    status |= ov_preprocess_output_info_get_tensor_info(ov_model->output_info, &output_tensor_info);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get tensor info from input/output.\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    //set input layout
+    status = ov_layout_create(NHWC_desc, &NHWC_layout);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to create layout for input.\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    status = ov_preprocess_input_tensor_info_set_layout(input_tensor_info, NHWC_layout);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to set input tensor layout\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    if (ov_model->model->func_type != DFT_PROCESS_FRAME)
+        //set precision only for detect and classify
+        status = ov_preprocess_input_tensor_info_set_element_type(input_tensor_info, U8);
+    status |= ov_preprocess_output_set_element_type(output_tensor_info, F32);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to set input/output element type\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+
+    //update model
+    if(ov_model->ov_model)
+        tmp_ov_model = ov_model->ov_model;
+    status = ov_preprocess_prepostprocessor_build(ov_model->preprocess, &ov_model->ov_model);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to update OV model\n");
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+    ov_model_free(tmp_ov_model);
 
+    //update output_port
+    if (ov_model->output_port)
+        ov_output_const_port_free(ov_model->output_port);
+    status = ov_model_const_output_by_name(ov_model->ov_model, output_name, &ov_model->output_port);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get output port.\n");
+        goto err;
+    }
+    //compile network
+    status = ov_core_compile_model(ov_model->core, ov_model->ov_model, device, 0, &ov_model->compiled_model);
+    if (status != OK) {
+        ret = ov2_map_error(status, NULL);
+        goto err;
+    }
+#else
     if (ctx->options.batch_size > 1) {
         input_shapes_t input_shapes;
         status = ie_network_get_input_shapes(ov_model->network, &input_shapes);
@@ -420,7 +693,7 @@ static int init_model_ov(OVModel *ov_model, const char *input_name, const char *
         ret = AVERROR(ENODEV);
         goto err;
     }
-
+#endif
     // create infer_requests for async execution
     if (ctx->options.nireq <= 0) {
         // the default value is a rough estimation
@@ -440,7 +713,11 @@ static int init_model_ov(OVModel *ov_model, const char *input_name, const char *
             goto err;
         }
 
+#if HAVE_OPENVINO2
+        item->callback.callback_func = infer_completion_callback;
+#else
         item->callback.completeCallBackFunc = infer_completion_callback;
+#endif
         item->callback.args = item;
         if (ff_safe_queue_push_back(ov_model->request_queue, item) < 0) {
             av_freep(&item);
@@ -448,11 +725,19 @@ static int init_model_ov(OVModel *ov_model, const char *input_name, const char *
             goto err;
         }
 
+#if HAVE_OPENVINO2
+        status = ov_compiled_model_create_infer_request(ov_model->compiled_model, &item->infer_request);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to Creates an inference request object.\n");
+            goto err;
+        }
+#else
         status = ie_exec_network_create_infer_request(ov_model->exe_network, &item->infer_request);
         if (status != OK) {
             ret = DNN_GENERIC_ERROR;
             goto err;
         }
+#endif
 
         item->lltasks = av_malloc_array(ctx->options.batch_size, sizeof(*item->lltasks));
         if (!item->lltasks) {
@@ -483,7 +768,11 @@ err:
 
 static int execute_model_ov(OVRequestItem *request, Queue *inferenceq)
 {
+#if HAVE_OPENVINO2
+    ov_status_e status;
+#else
     IEStatusCode status;
+#endif
     LastLevelTaskItem *lltask;
     int ret = 0;
     TaskItem *task;
@@ -491,7 +780,11 @@ static int execute_model_ov(OVRequestItem *request, Queue *inferenceq)
     OVModel *ov_model;
 
     if (ff_queue_size(inferenceq) == 0) {
+#if HAVE_OPENVINO2
+        ov_infer_request_free(request->infer_request);
+#else
         ie_infer_request_free(&request->infer_request);
+#endif
         av_freep(&request);
         return 0;
     }
@@ -501,11 +794,39 @@ static int execute_model_ov(OVRequestItem *request, Queue *inferenceq)
     ov_model = task->model;
     ctx = &ov_model->ctx;
 
+    ret = fill_model_input_ov(ov_model, request);
+    if (ret != 0) {
+        goto err;
+    }
+
+#if HAVE_OPENVINO2
     if (task->async) {
-        ret = fill_model_input_ov(ov_model, request);
-        if (ret != 0) {
+        status = ov_infer_request_set_callback(request->infer_request, &request->callback);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to set completion callback for inference\n");
+            ret = ov2_map_error(status, NULL);
+            goto err;
+        }
+
+        status = ov_infer_request_start_async(request->infer_request);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to start async inference\n");
+            ret = ov2_map_error(status, NULL);
+            goto err;
+        }
+        return 0;
+    } else {
+        status = ov_infer_request_infer(request->infer_request);
+        if (status != OK) {
+            av_log(NULL, AV_LOG_ERROR, "Failed to start synchronous model inference for OV2\n");
+            ret = ov2_map_error(status, NULL);
             goto err;
         }
+        infer_completion_callback(request);
+        return (task->inference_done == task->inference_todo) ? 0 : DNN_GENERIC_ERROR;
+    }
+#else
+    if (task->async) {
         status = ie_infer_set_completion_callback(request->infer_request, &request->callback);
         if (status != OK) {
             av_log(ctx, AV_LOG_ERROR, "Failed to set completion callback for inference\n");
@@ -520,10 +841,6 @@ static int execute_model_ov(OVRequestItem *request, Queue *inferenceq)
         }
         return 0;
     } else {
-        ret = fill_model_input_ov(ov_model, request);
-        if (ret != 0) {
-            goto err;
-        }
         status = ie_infer_request_infer(request->infer_request);
         if (status != OK) {
             av_log(ctx, AV_LOG_ERROR, "Failed to start synchronous model inference\n");
@@ -533,9 +850,14 @@ static int execute_model_ov(OVRequestItem *request, Queue *inferenceq)
         infer_completion_callback(request);
         return (task->inference_done == task->inference_todo) ? 0 : DNN_GENERIC_ERROR;
     }
+#endif
 err:
     if (ff_safe_queue_push_back(ov_model->request_queue, request) < 0) {
+#if HAVE_OPENVINO2
+        ov_infer_request_free(request->infer_request);
+#else
         ie_infer_request_free(&request->infer_request);
+#endif
         av_freep(&request);
     }
     return ret;
@@ -545,19 +867,54 @@ static int get_input_ov(void *model, DNNData *input, const char *input_name)
 {
     OVModel *ov_model = model;
     OVContext *ctx = &ov_model->ctx;
+    int input_resizable = ctx->options.input_resizable;
+
+#if HAVE_OPENVINO2
+    ov_shape_t input_shape = {0};
+    ov_element_type_e precision;
+    int64_t* dims;
+    ov_status_e status;
+    if (!ov_model_is_dynamic(ov_model->ov_model)) {
+        status = ov_model_const_input_by_name(ov_model->ov_model, input_name, &ov_model->input_port);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port shape.\n");
+            return ov2_map_error(status, NULL);
+        }
+
+        status = ov_const_port_get_shape(ov_model->input_port, &input_shape);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port shape.\n");
+            return ov2_map_error(status, NULL);
+        }
+        dims = input_shape.dims;
+
+        status = ov_port_get_element_type(ov_model->input_port, &precision);
+        if (status != OK) {
+            av_log(ctx, AV_LOG_ERROR, "Failed to get input port data type.\n");
+            return ov2_map_error(status, NULL);
+        }
+    } else {
+        avpriv_report_missing_feature(ctx, "Do not support dynamic model now.");
+        return AVERROR(ENOSYS);
+    }
+
+    input->channels = dims[1];
+    input->height   = input_resizable ? -1 : dims[2];
+    input->width    = input_resizable ? -1 : dims[3];
+    input->dt       = precision_to_datatype(precision);
+
+    return 0;
+#else
     char *model_input_name = NULL;
     IEStatusCode status;
     size_t model_input_count = 0;
     dimensions_t dims;
     precision_e precision;
-    int input_resizable = ctx->options.input_resizable;
-
     status = ie_network_get_inputs_number(ov_model->network, &model_input_count);
     if (status != OK) {
         av_log(ctx, AV_LOG_ERROR, "Failed to get input count\n");
         return DNN_GENERIC_ERROR;
     }
-
     for (size_t i = 0; i < model_input_count; i++) {
         status = ie_network_get_input_name(ov_model->network, i, &model_input_name);
         if (status != OK) {
@@ -585,6 +942,7 @@ static int get_input_ov(void *model, DNNData *input, const char *input_name)
 
     av_log(ctx, AV_LOG_ERROR, "Could not find \"%s\" in model, all input(s) are: \"%s\"\n", input_name, ov_model->all_input_names);
     return AVERROR(EINVAL);
+#endif
 }
 
 static int contain_valid_detection_bbox(AVFrame *frame)
@@ -693,13 +1051,20 @@ static int extract_lltask_from_task(DNNFunctionType func_type, TaskItem *task, Q
 static int get_output_ov(void *model, const char *input_name, int input_width, int input_height,
                                    const char *output_name, int *output_width, int *output_height)
 {
+#if HAVE_OPENVINO2
+    ov_dimension_t dims[4] = {{1, 1}, {1, 1}, {input_height, input_height}, {input_width, input_width}};
+    ov_status_e status;
+    ov_shape_t input_shape = {0};
+    ov_partial_shape_t partial_shape;
+#else
+    IEStatusCode status;
+    input_shapes_t input_shapes;
+#endif
     int ret;
     OVModel *ov_model = model;
     OVContext *ctx = &ov_model->ctx;
     TaskItem task;
     OVRequestItem *request;
-    IEStatusCode status;
-    input_shapes_t input_shapes;
     DNNExecBaseParams exec_params = {
         .input_name     = input_name,
         .output_names   = &output_name,
@@ -713,6 +1078,46 @@ static int get_output_ov(void *model, const char *input_name, int input_width, i
         return AVERROR(EINVAL);
     }
 
+#if HAVE_OPENVINO2
+    if (ctx->options.input_resizable) {
+        if (!ov_model_is_dynamic(ov_model->ov_model)) {
+            status = ov_partial_shape_create(4, dims, &partial_shape);
+            if (status != OK) {
+                av_log(ctx, AV_LOG_ERROR, "Failed create partial shape.\n");
+                goto err;
+            }
+            status = ov_const_port_get_shape(ov_model->input_port, &input_shape);
+            input_shape.dims[2] = input_height;
+            input_shape.dims[3] = input_width;
+            if (status != OK) {
+                av_log(ctx, AV_LOG_ERROR, "Failed create shape for model input resize.\n");
+                goto err;
+            }
+
+            status = ov_shape_to_partial_shape(input_shape, &partial_shape);
+            if (status != OK) {
+                av_log(ctx, AV_LOG_ERROR, "Failed create partial shape for model input resize.\n");
+                goto err;
+            }
+
+            status = ov_model_reshape_single_input(ov_model->ov_model, partial_shape);
+            if (status != OK) {
+                av_log(ctx, AV_LOG_ERROR, "Failed to reszie model input.\n");
+                goto err;
+            }
+        } else {
+            avpriv_report_missing_feature(ctx, "Do not support dynamic model.");
+            goto err;
+        }
+    }
+
+    status = ov_model_const_output_by_name(ov_model->ov_model, output_name, &ov_model->output_port);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to get output port.\n");
+        goto err;
+    }
+    if (!ov_model->compiled_model) {
+#else
     if (ctx->options.input_resizable) {
         status = ie_network_get_input_shapes(ov_model->network, &input_shapes);
         input_shapes.shapes->shape.dims[2] = input_height;
@@ -724,8 +1129,8 @@ static int get_output_ov(void *model, const char *input_name, int input_width, i
             return DNN_GENERIC_ERROR;
         }
     }
-
     if (!ov_model->exe_network) {
+#endif
         ret = init_model_ov(ov_model, input_name, output_name);
         if (ret != 0) {
             av_log(ctx, AV_LOG_ERROR, "Failed init OpenVINO exectuable network or inference request\n");
@@ -765,9 +1170,15 @@ static DNNModel *dnn_load_model_ov(const char *model_filename, DNNFunctionType f
     DNNModel *model = NULL;
     OVModel *ov_model = NULL;
     OVContext *ctx = NULL;
-    IEStatusCode status;
+#if HAVE_OPENVINO2
+    ov_core_t* core = NULL;
+    ov_model_t* ovmodel = NULL;
+    ov_status_e status;
+#else
     size_t node_count = 0;
     char *node_name = NULL;
+    IEStatusCode status;
+#endif
 
     model = av_mallocz(sizeof(DNNModel));
     if (!model){
@@ -783,8 +1194,6 @@ static DNNModel *dnn_load_model_ov(const char *model_filename, DNNFunctionType f
     ov_model->model = model;
     ov_model->ctx.class = &dnn_openvino_class;
     ctx = &ov_model->ctx;
-    ov_model->all_input_names = NULL;
-    ov_model->all_output_names = NULL;
 
     //parse options
     av_opt_set_defaults(ctx);
@@ -793,6 +1202,31 @@ static DNNModel *dnn_load_model_ov(const char *model_filename, DNNFunctionType f
         goto err;
     }
 
+#if HAVE_OPENVINO2
+    status = ov_core_create(&core);
+    if (status != OK) {
+        goto err;
+    }
+
+    status = ov_core_read_model(core, model_filename, NULL, &ovmodel);
+    if (status != OK) {
+        ov_version_t ver;
+        status = ov_get_openvino_version(&ver);
+        av_log(NULL, AV_LOG_ERROR, "Failed to read the network from model file %s,\n"
+                                  "Please check if the model version matches the runtime OpenVINO Version:\n",
+                                   model_filename);
+        if (status == OK) {
+            av_log(NULL, AV_LOG_ERROR, "BuildNumber: %s\n", ver.buildNumber);
+        }
+        ov_version_free(&ver);
+        goto err;
+    }
+    ov_model->ov_model = ovmodel;
+    ov_model->core     = core;
+#else
+    ov_model->all_input_names = NULL;
+    ov_model->all_output_names = NULL;
+
     status = ie_core_create("", &ov_model->core);
     if (status != OK)
         goto err;
@@ -835,6 +1269,7 @@ static DNNModel *dnn_load_model_ov(const char *model_filename, DNNFunctionType f
         }
         APPEND_STRING(ov_model->all_output_names, node_name)
     }
+#endif
 
     model->get_input = &get_input_ov;
     model->get_output = &get_output_ov;
@@ -862,7 +1297,11 @@ static int dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *exec_p
         return ret;
     }
 
+#if HAVE_OPENVINO2
+    if (!ov_model->compiled_model) {
+#else
     if (!ov_model->exe_network) {
+#endif
         ret = init_model_ov(ov_model, exec_params->input_name, exec_params->output_names[0]);
         if (ret != 0) {
             av_log(ctx, AV_LOG_ERROR, "Failed init OpenVINO exectuable network or inference request\n");
@@ -943,7 +1382,11 @@ static int dnn_flush_ov(const DNNModel *model)
     OVModel *ov_model = model->model;
     OVContext *ctx = &ov_model->ctx;
     OVRequestItem *request;
+#if HAVE_OPENVINO2
+    ov_status_e status;
+#else
     IEStatusCode status;
+#endif
     int ret;
 
     if (ff_queue_size(ov_model->lltask_queue) == 0) {
@@ -962,6 +1405,13 @@ static int dnn_flush_ov(const DNNModel *model)
         av_log(ctx, AV_LOG_ERROR, "Failed to fill model input.\n");
         return ret;
     }
+#if HAVE_OPENVINO2
+    status = ov_infer_request_infer(request->infer_request);
+    if (status != OK) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to start sync inference for OV2\n");
+        return ov2_map_error(status, NULL);
+    }
+#else
     status = ie_infer_set_completion_callback(request->infer_request, &request->callback);
     if (status != OK) {
         av_log(ctx, AV_LOG_ERROR, "Failed to set completion callback for inference\n");
@@ -972,6 +1422,7 @@ static int dnn_flush_ov(const DNNModel *model)
         av_log(ctx, AV_LOG_ERROR, "Failed to start async inference\n");
         return DNN_GENERIC_ERROR;
     }
+#endif
 
     return 0;
 }
