diff --git a/boards/default_src/micropython/blocks/ai_local.js b/boards/default_src/micropython/blocks/ai_local.js
index 026ea825..973b6ab5 100644
--- a/boards/default_src/micropython/blocks/ai_local.js
+++ b/boards/default_src/micropython/blocks/ai_local.js
@@ -2,6 +2,7 @@ import * as Blockly from 'blockly/core';
 const AI_LOCAL_VOICE_HUE = '#2FAD7A'; 
 const AI_LOCAL_GRAPH_HUE = '#90A244'; 
 const IOT_HUE = '#526FC3';
+const DISPLAY_ONBOARD_HUE = '#569A98';
 
 //voice part
 export const VOICE_RECOGNITION_CONTROL = {
@@ -270,11 +271,27 @@ export const CREATE_CAMERA = {
             .appendField(Blockly.Msg.MIXLY_SETUP + Blockly.Msg.MIXLY_SMARTCAMERA)
             .appendField(Blockly.Msg.LISTS_SET_INDEX_SET + Blockly.Msg.MIXLY_SHOOTING_SIZE)
             .appendField(new Blockly.FieldDropdown([
-                ['LCD : 240px*240px', "LCD"],
+                ['240px*240px', "R240*240"],
+                ['320px*320px', "R320*320"],
+                ['128px*128px', "R128*128"],
+                ['96px*96px', "R96*96"],
                 ['VGA : 640px*480px', "VGA"],
+                ['HVGA : 480px*320px', "HVGA"],
                 ['QVGA : 320px*240px', "QVGA"],
                 ['QQVGA : 160px*120px', "QQVGA"]
-            ]), "cmd")
+            ]), "cmd");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_HORIZONTAL_MIRRORING)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_FALSE, "False"],
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_TRUE, "True"]
+            ]),"hm");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_VERTICAL_MIRRORING)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_FALSE, "False"],
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_TRUE, "True"]
+            ]),"vf");
         this.setPreviousStatement(true);
         this.setNextStatement(true);
         this.setInputsInline(true);
@@ -287,6 +304,16 @@ export const SHOOT_AND_SAVE_PICTURE = {
         this.appendValueInput('direct')
             .appendField(Blockly.Msg.MIXLY_SHOOT_AND_SAVE_PICTURE)
             .appendField(Blockly.Msg.LISTS_SET_INDEX_SET + Blockly.Msg.MICROPYTHON_HUSKYLENS_SAVE_AS + Blockly.Msg.MIXLY_MICROBIT_PY_STORAGE_THE_PATH);
+        this.appendValueInput('quality')
+            .appendField(Blockly.Msg.MIXLY_IMAGE_QUALITY);
+        this.appendDummyInput('')
+            .appendField(Blockly.Msg.MIXLY_ROTATION_ANGLE)
+            .appendField(new Blockly.FieldDropdown([
+                ['0','0'],
+                ['90','90'],
+                ['180','180'],
+                ['270','270']
+            ]),'angle');
         this.setPreviousStatement(true);
         this.setNextStatement(true);
         this.setInputsInline(true);
@@ -308,12 +335,63 @@ export const GET_PICTURE_DATA_EXACT = {
     }
 };
 
-export const SCREEN_SHOW_CAM_GRAPH_SHOOT = { 
+export const GET_PICTURE_DATA_WHS = { 
     init: function () {
         this.setColour(AI_LOCAL_GRAPH_HUE);
         this.appendDummyInput()
-            .appendField(Blockly.Msg.MIXlY_SCREEN_SHOW_CAM_SHOOT);
-        this.appendValueInput('boolean');
+            .appendField(Blockly.Msg.MIXLY_GET_PICTURE_DATA)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_WIDTH,"get_pixel_width"],
+                [Blockly.Msg.MIXLY_HEIGHT,"get_pixel_height"],
+                [Blockly.Msg.MIXLY_SMARTCAMERA + Blockly.Msg.MIXLY_MODEL_NUMBER ,"get_sensor_name"]
+            ]),"kind")
+        this.setOutput(true);
+        this.setInputsInline(true);
+    }
+};
+
+export const SCREEN_SHOW_CAM_GRAPH_SHOOT = { 
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendDummyInput('')
+            .appendField(Blockly.Msg.MIXlY_SCREEN_SHOW_CAM_SHOOT)
+        // this.appendValueInput('direct')
+        //     .appendField(Blockly.Msg.MIXLY_MICROBIT_JS_MONITOR_SHOW_IMAGE)
+        //     .appendField(Blockly.Msg.MIXLY_MICROBIT_PY_STORAGE_THE_PATH);
+        // this.appendDummyInput('')
+        //     .appendField('(' + Blockly.Msg.MIXLY_ONLY + Blockly.Msg.MIXLY_SUPPORT + 'jpg/jpeg)')
+        this.appendDummyInput('')
+            .appendField(Blockly.Msg.MIXLY_SYNC_DISPLAY)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_FALSE, "0"],
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_TRUE, "1"]
+            ]),"sync");
+        this.setPreviousStatement(true);
+        this.setNextStatement(true);
+        this.setInputsInline(true);
+    }
+};
+
+export const SCREEN_DISPLAY_IMAGE = { 
+    init: function () {
+        this.setColour(DISPLAY_ONBOARD_HUE);
+        this.appendValueInput('direct')
+            .appendField(Blockly.Msg.MIXLY_MICROBIT_JS_MONITOR_SHOW_IMAGE)
+            .appendField(Blockly.Msg.MIXLY_MICROBIT_PY_STORAGE_THE_PATH);
+        this.appendDummyInput('')
+            .appendField(Blockly.Msg.MIXLY_ROTATION_ANGLE)
+            .appendField(new Blockly.FieldDropdown([
+                ['0','0'],
+                ['90','90'],
+                ['180','180'],
+                ['270','270']
+            ]),'angle');
+        this.appendDummyInput('')
+            .appendField(Blockly.Msg.MIXLY_SYNC_DISPLAY)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_FALSE, "0"],
+                [Blockly.Msg.MIXLY_TURTLE_WRITE_MOVE_TRUE, "1"]
+            ]),"sync");
         this.setPreviousStatement(true);
         this.setNextStatement(true);
         this.setInputsInline(true);
@@ -329,11 +407,11 @@ export const AI_CAMERA_INIT = {
         this.appendDummyInput("")
             .appendField(Blockly.Msg.MIXLY_SETUP + Blockly.Msg.LISTS_SET_INDEX_INPUT_TO)
             .appendField(new Blockly.FieldDropdown([
-                [Blockly.Msg.MIXLY_QR_CODE + Blockly.Msg.MIXLY_RECOGNITION, "CODE_DETECTION"],
-                [Blockly.Msg.MIXLY_COLOR_RECOGNTITION, "COLOR_DETECTION"],
-                [Blockly.Msg.MIXLY_CAT_FACE + Blockly.Msg.MIXLY_RECOGNITION, "CAT_FACE_DETECTION"],
-                [Blockly.Msg.MIXLY_FACE_CLASSIFIER, "FACE_DETECTION"],
-                [Blockly.Msg.MIXLY_AipFace, "FACE_RECOGNITION"]
+                [Blockly.Msg.MIXLY_QR_CODE + Blockly.Msg.MIXLY_RECOGNITION, "QRReader"],
+                [Blockly.Msg.MIXLY_COLOR_RECOGNTITION, "ColorDetector"],
+                [Blockly.Msg.MIXLY_CAT + Blockly.Msg.MIXLY_RECOGNITION, "CatDetector"],
+                [Blockly.Msg.MIXLY_HUMAN + Blockly.Msg.MIXLY_RECOGNITION, "HumanDetector"],
+                [Blockly.Msg.MIXLY_AipFace, "FaceDetector"]
             ]), "kind");
         this.setInputsInline(true);
         this.setPreviousStatement(true, null);
@@ -341,11 +419,301 @@ export const AI_CAMERA_INIT = {
     }
 };
 
+export const AI_CAMERA_INIT_FACERECOGNIZE = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_MICROPYTHON_SOCKET_MAKE)
+            .setCheck("var");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_SETUP + Blockly.Msg.LISTS_SET_INDEX_INPUT_TO)
+            .appendField(Blockly.Msg.MIXLY_FACE_RECOGNIZER);
+        this.appendValueInput("PATH")
+            .appendField(Blockly.Msg.PATH_OF_FACE_DATABASE);
+        this.setInputsInline(true);
+        this.setPreviousStatement(true, null);
+        this.setNextStatement(true, null);
+    }
+};
+
+export const MODEL_LOGOUT = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_LOGOUT)
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.setInputsInline(true);
+        this.setPreviousStatement(true, null);
+        this.setNextStatement(true, null);
+    }
+};
+
+export const MODEL_RUN = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");    
+        this.appendValueInput("FRAME")
+            .appendField(Blockly.Msg.MIXLY_RUN + Blockly.Msg.MIXLY_RECOGNITION_RECGNITION + Blockly.Msg.MIXLY_AipImageClassify_Image)
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const MODEL_WHETHER_RUN_SUCCEED = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_RECOGNITION_RECGNITION)
+        this.appendDummyInput("")
+            .appendField( Blockly.Msg.MIXLY_WHETHER + Blockly.Msg.MIXLY_SUCCESS)
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_HOW_MUCH_RECOGNITION = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_GET +Blockly.Msg.MIXLY_HOW_MUCH)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_QR_CODE, "QRReader"],
+                [Blockly.Msg.HTML_COLOUR, "ColorDetector"],
+                [Blockly.Msg.MIXLY_CAT, "CatDetector"],
+                [Blockly.Msg.MIXLY_HUMAN, "HumanDetector"],
+                [Blockly.Msg.MIXLY_FACE, "FaceDetector"]
+            ]), "kind");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_BE_IDENTIFIED);
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_NO_RECOGNITION = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendValueInput("NO")
+            .appendField(Blockly.Msg.MIXLY_GET + Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER1);
+         this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER2)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_QR_CODE, "QRReader"],
+                [Blockly.Msg.HTML_COLOUR, "ColorDetector"],
+                [Blockly.Msg.MIXLY_CAT, "CatDetector"],
+                [Blockly.Msg.MIXLY_HUMAN, "HumanDetector"],
+                [Blockly.Msg.MIXLY_FACE, "FaceDetector"]
+            ]), "kind");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_DE + Blockly.Msg.OLED_STRING);
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_NO_CAT_OR_FACE_RECOGNITION = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendValueInput("NO")
+            .appendField(Blockly.Msg.MIXLY_GET + Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER1);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER2)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_QR_CODE, "QRReader"],
+                [Blockly.Msg.HTML_COLOUR, "ColorDetector"],
+                [Blockly.Msg.MIXLY_CAT, "CatDetector"],
+                [Blockly.Msg.MIXLY_HUMAN, "HumanDetector"],
+                [Blockly.Msg.MIXLY_FACE, "FaceDetector"]
+            ]), "kind");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_DE + Blockly.Msg.MIXLY_CONFIDENCE_DEGREE);
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_NO_XY_RECOGNITION = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendValueInput("NO")
+            .appendField(Blockly.Msg.MIXLY_GET + Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER1);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER2)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_QR_CODE, "QRReader"],
+                [Blockly.Msg.HTML_COLOUR, "ColorDetector"],
+                [Blockly.Msg.MIXLY_CAT, "CatDetector"],
+                [Blockly.Msg.MIXLY_HUMAN, "HumanDetector"],
+                [Blockly.Msg.MIXLY_FACE, "FaceDetector"]
+            ]), "kind");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_DE + Blockly.Msg.MIXLY_POSITION_XY)
+            .appendField(new Blockly.FieldDropdown([
+                ["x","0"],
+                ["y","1"],
+                ["w","2"],
+                ["h","3"],
+                [Blockly.Msg.MIXLY_ALL + '(x,y,w,h)',"all"]
+            ]),"coord");
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_NO_XY_RECOGNITION_FACE = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendValueInput("NO")
+            .appendField(Blockly.Msg.MIXLY_GET + Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER1);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER2)
+            .appendField(Blockly.Msg.MIXLY_FACE);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_DE + Blockly.Msg.MIXLY_POSITION_XY)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_LEFT_EYE,"[0,1]"],
+                [Blockly.Msg.MIXLY_RIGHT_EYE,"[2,3"],
+                [Blockly.Msg.MIXLY_NOSE,"[4,5"],
+                [Blockly.Msg.MIXLY_LEFT_MOUSE_CORNER,"[6,7]"],
+                [Blockly.Msg.MIXLY_RIGHT_MOUSE_CORNER,"[8,9"],
+                [Blockly.Msg.MIXLY_ALL ,"all"]
+                ]),"part")
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const GET_NO_FACE_RECOGNITION_INFO = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput("SUB")
+            .appendField(Blockly.Msg.MIXLY_COLOR_CHASE_ANALYSIS);
+        this.appendValueInput("NO")
+            .appendField(Blockly.Msg.MIXLY_GET + Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER1);
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_4DIGITDISPLAY_NOMBER2 + Blockly.Msg.MIXLY_FACE + Blockly.Msg.MIXLY_DE)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.MIXLY_FACE_ID,"id"],
+                [Blockly.Msg.MILXY_FACE_SIMILARITY,"similarity"],
+                [Blockly.Msg.MIXLY_FACE_NAME,"name"]
+            ]),"kind");
+        this.setInputsInline(true);
+        this.setOutput(true);
+    }
+};
+
+export const Register_color_recognition_fixed = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.MIXLY_RECOGNITION_RECGNITION + Blockly.Msg.HTML_COLOUR)
+            .appendField(new Blockly.FieldDropdown([
+                [Blockly.Msg.COLOUR_RGB_RED,"red"],
+                [Blockly.Msg.COLOUR_RGB_GREEN,"green"],
+                [Blockly.Msg.COLOUR_RGB_BLUE,"blue"],
+                [Blockly.Msg.COLOUR_YELLOW,"yellow"],
+                [Blockly.Msg.COLOUR_CYAN,"cyan"],
+                [Blockly.Msg.COLOUR_RGB_PURPLE,"purple"],
+                [Blockly.Msg.COLOUR_BLACK,"black"],
+                [Blockly.Msg.COLOUR_WHITE,"white"]
+            ]),"color");
+        this.appendValueInput("AREA")
+            .appendField(Blockly.Msg.MINIMUN_DETECTABLE_AREA);
+        this.setInputsInline(true);
+        this.setPreviousStatement(true, null);
+        this.setNextStatement(true, null);
+    }
+};
+
+export const Register_color_recognition = {
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.appendDummyInput("")
+            .appendField(Blockly.Msg.REGUSTER_COLOR_RECOGNITION)
+        this.appendValueInput("MIN")
+            .appendField('H、S、V' + Blockly.Msg.blockpy_TUPLE_MIN);
+        this.appendValueInput("MAX")
+            .appendField('H、S、V' + Blockly.Msg.blockpy_TUPLE_MAX);
+        this.appendValueInput("COLOR")
+            .appendField(Blockly.Msg.HTML_COLOUR + Blockly.Msg.MIXLY_NAME)
+        this.appendValueInput("AREA")
+            .appendField(Blockly.Msg.MINIMUN_DETECTABLE_AREA);
+        this.setInputsInline(true);
+        this.setPreviousStatement(true, null);
+        this.setNextStatement(true, null);
+    }
+};
+
+export const REGISTER_NEW_FACE = { 
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.appendDummyInput()
+            .appendField(Blockly.Msg.register_a_new_face_in_the_database);
+        this.appendValueInput("NAME")
+            .appendField(Blockly.Msg.MICROPYTHON_HUSKYLENS_NAME);
+        this.setPreviousStatement(true);
+        this.setNextStatement(true);
+        this.setInputsInline(true);
+    }
+};
+
+export const DELETE_FACE_FROM_DATABASE = { 
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.appendDummyInput()
+            .appendField(Blockly.Msg.delete_the_face_from_the_database);
+        this.appendValueInput("ID")
+            .appendField('id');
+        this.setPreviousStatement(true);
+        this.setNextStatement(true);
+        this.setInputsInline(true);
+    }
+};
+
+export const PRINT_FACE_DATABASE = { 
+    init: function () {
+        this.setColour(AI_LOCAL_GRAPH_HUE);
+        this.appendValueInput('SUB')
+            .appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL)
+            .setCheck("var");
+        this.appendDummyInput()
+            .appendField(Blockly.Msg.print_the_contents_of_the_face_database);
+        this.setPreviousStatement(true);
+        this.setNextStatement(true);
+        this.setInputsInline(true);
+    }
+};
 
 export const GET_QR_CODE_RECOGNITION_DATA = { 
     init: function () {
         this.setColour(AI_LOCAL_GRAPH_HUE);
-                this.appendValueInput('SUB')
+        this.appendValueInput('SUB')
             .setCheck("var");
         this.appendDummyInput()
             .appendField(Blockly.Msg.MIXLY_GET_QR_CODE_RECOGNITION_RESULT);
diff --git a/boards/default_src/micropython/generators/ai_local.js b/boards/default_src/micropython/generators/ai_local.js
index 584ba5ac..a210d688 100644
--- a/boards/default_src/micropython/generators/ai_local.js
+++ b/boards/default_src/micropython/generators/ai_local.js
@@ -124,15 +124,19 @@ export const CI130X_BROADCAST_SYSTEM_TIME = function (_, generator) {
 //graph part
 export const CREATE_CAMERA = function (_, generator) {
     var version = Boards.getSelectedBoardKey().split(':')[2];
-    generator.definitions_['import_camera'] = 'import camera';
+    generator.definitions_['import_Camera_FrameSize_PixelFormat'] = 'from camera import Camera,FrameSize,PixelFormat';
     var cmd = this.getFieldValue('cmd');
-    var code = 'cam = camera.GC032A(camera.' + cmd + ')\n';
+    var hm = this.getFieldValue('hm');
+    var vf = this.getFieldValue('vf');
+    var code = 'cam = Camera(FrameSize.' + cmd + ',hmirror='+ hm + ',vflip='+ vf +')\n';
     return code;
 }
 
 export const SHOOT_AND_SAVE_PICTURE = function (_, generator) {
     var direct = generator.valueToCode(this, 'direct', generator.ORDER_ATOMIC);
-    var code = 'cam.snapshot(' + direct + ')\n';
+    var q = generator.valueToCode(this, 'quality', generator.ORDER_ATOMIC);
+    var a = this.getFieldValue('angle');
+    var code = 'cam.snapshot(' + direct + ',quality='+ q + ',rotation=' + a + ')\n';
     return code;
 }
 
@@ -143,17 +147,166 @@ export const GET_PICTURE_DATA_EXACT = function (_, generator) {
     return [code, generator.ORDER_ATOMIC];
 }
 
+export const GET_PICTURE_DATA_WHS = function (_, generator) {
+    var kind = this.getFieldValue('kind');
+    var code = 'cam.' + kind +'()';
+    return [code, generator.ORDER_ATOMIC];
+}
+
 export const SCREEN_SHOW_CAM_GRAPH_SHOOT = function (_, generator) {
-    var bool = generator.valueToCode(this, 'boolean', generator.ORDER_ATOMIC);
-    var code = 'cam.display(show='+ bool +')\n';
+    var s = this.getFieldValue('sync');
+    var code = 'onboard_tft.display(data, sync='+ s +')\n';
+    return code;
+}
+
+export const SCREEN_DISPLAY_IMAGE = function (_, generator) {
+    var direct = generator.valueToCode(this, 'direct', generator.ORDER_ATOMIC);
+    var a = this.getFieldValue('angle');
+    var s = this.getFieldValue('sync');
+    var code = 'onboard_tft.display(' + direct + ',rotation=' + a +  ',sync='+ s + ')\n';
     return code;
 }
 
 export const AI_CAMERA_INIT = function (_, generator) {
-    generator.definitions_['import_ai_camera'] = 'import ai_camera';
+    generator.definitions_['import_esp_dl'] = 'import esp_dl';
     var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
     var cmd = this.getFieldValue('kind');
-    var code = sub +' = ai_camera.AI(ai_camera.' + cmd + ')\n';
+    var code = sub +' = esp_dl.'+cmd + '(width=cam.get_pixel_width(), height=cam.get_pixel_height())\n';
+    return code;
+}
+
+export const AI_CAMERA_INIT_FACERECOGNIZE = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl';
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var path = generator.valueToCode(this, 'PATH', generator.ORDER_ATOMIC);
+    var code = sub +' = esp_dl.FaceRecognizer(width=cam.get_pixel_width(), height=cam.get_pixel_height(), db_path='+ path +')\n';
+    return code;
+}
+
+export const MODEL_LOGOUT = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var code = 'del '+sub + '\n';
+    return code;
+}
+
+export const MODEL_RUN = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var frame = generator.valueToCode(this, 'FRAME', generator.ORDER_ATOMIC);
+    var code = sub + '.run(' + frame +')';
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const MODEL_WHETHER_RUN_SUCCEED = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    
+    var code = 'esp_dl.analyze(' + sub +')';
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const GET_HOW_MUCH_RECOGNITION = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var code = 'esp_dl.analyze(' + sub +',"len")';
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const GET_NO_RECOGNITION = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var no = generator.valueToCode(this, 'NO', generator.ORDER_ATOMIC);
+    var code = 'esp_dl.analyze(' + sub +',"data",'+ no + ')';
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const GET_NO_XY_RECOGNITION = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var no = generator.valueToCode(this, 'NO', generator.ORDER_ATOMIC);
+    var coord = this.getFieldValue('coord');
+    if(coord == "all"){
+        var code = 'esp_dl.analyze(' + sub +',"box",'+ no + ')';
+    }else{
+        var code = 'esp_dl.analyze(' + sub +',"box",'+ no + ')['+ coord +']';
+    }
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const GET_NO_XY_RECOGNITION_FACE = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var no = generator.valueToCode(this, 'NO', generator.ORDER_ATOMIC);
+    var part = this.getFieldValue('part');
+    if(part == "all"){
+        var code = 'esp_dl.analyze(' + sub +',"features",'+ no + ')';
+    }else{
+        var code = 'esp_dl.analyze(' + sub +',"features",'+ no + ')' +part;
+    }
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const GET_NO_CAT_OR_FACE_RECOGNITION = function (_, generator) {
+    generator.definitions_['import_esp_dl'] = 'import esp_dl'
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var no = generator.valueToCode(this, 'NO', generator.ORDER_ATOMIC);
+    var code = 'esp_dl.analyze(' + sub +',"score",'+ no + ')';
+    return [code, generator.ORDER_ATOMIC];
+}
+
+export const Register_color_recognition_fixed= function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var color = this.getFieldValue('color');
+    var area = generator.valueToCode(this, 'AREA', generator.ORDER_ATOMIC);
+    if (color == "red"){
+        var code = sub + '.register_color((170, 100, 100), (10, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "green"){
+        var code = sub + '.register_color((35, 100, 100), (85, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "blue"){
+        var code = sub + '.register_color((100, 100, 100), (130, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "yellow"){
+        var code = sub + '.register_color((20, 100, 100), (35, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "cyan"){
+        var code = sub + '.register_color((85, 100, 100), (100, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "purple"){
+        var code = sub + '.register_color((130, 100, 100), (150, 255, 255),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "black"){
+        var code = sub + '.register_color((0, 0, 0), (180, 255, 50),'+ color +', area_threshold='+ area + ')\n';
+    }else if(color == "white"){
+        var code = sub + '.register_color((0, 0, 200), (180, 50, 255),'+ color +', area_threshold='+ area + ')\n';
+    }
+    return code;
+}
+
+export const Register_color_recognition = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var min = generator.valueToCode(this, 'MIN', generator.ORDER_ATOMIC);
+    var max = generator.valueToCode(this, 'MAX', generator.ORDER_ATOMIC);
+    var color = generator.valueToCode(this, 'COLOR', generator.ORDER_ATOMIC);
+    var area = generator.valueToCode(this, 'AREA', generator.ORDER_ATOMIC);
+    var code = sub + '.register_color(' + min +', '+ max +', '+ color +', area_threshold='+ area + ')\n';
+    return code;
+}
+
+export const REGISTER_NEW_FACE = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var min = generator.valueToCode(this, 'MIN', generator.ORDER_ATOMIC);
+    var max = generator.valueToCode(this, 'MAX', generator.ORDER_ATOMIC);
+    var color = generator.valueToCode(this, 'COLOR', generator.ORDER_ATOMIC);
+    var area = generator.valueToCode(this, 'AREA', generator.ORDER_ATOMIC);
+    var code = sub + '.enroll(' + min +', '+ max +', '+ color +', area_threshold='+ area + ')\n';
+    return code;
+}
+
+export const DELETE_FACE_FROM_DATABASE = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var id = generator.valueToCode(this, 'ID', generator.ORDER_ATOMIC);
+    var code = sub + '.delete_face(' + id + ')\n';
+    return code;
+}
+
+export const PRINT_FACE_DATABASE = function (_, generator) {
+    var sub = generator.valueToCode(this, 'SUB', generator.ORDER_ATOMIC);
+    var code = sub + '.print_database()\n';
     return code;
 }
 
diff --git a/boards/default_src/micropython_esp32s3/template.xml b/boards/default_src/micropython_esp32s3/template.xml
index 1ad11e73..67b228e1 100644
--- a/boards/default_src/micropython_esp32s3/template.xml
+++ b/boards/default_src/micropython_esp32s3/template.xml
@@ -1781,7 +1781,7 @@
         </shadow>
       </value>
     </block>
-    <block type="set_power_output" m-show="micropython:esp32s3:mixgo_sant micropython:esp32s3:mixgo_soar"></block>
+    <block type="get_power_output" m-show="micropython:esp32s3:mixgo_sant micropython:esp32s3:mixgo_soar"></block>
     <block type="set_all_power_output" m-show="micropython:esp32s3:mixgo_sant micropython:esp32s3:mixgo_soar">
       <value name="duty">
         <shadow type="math_number">
@@ -1970,23 +1970,13 @@
           </shadow>
         </value>
     </block>
-    <block type="onboard_tft_show_image_xy_direct" m-show="micropython:esp32s3:mixgo_sant">
-      <value name="x">
-        <shadow type="math_number">
-          <field name="NUM">0</field>
-        </shadow>
-      </value>
-      <value name="y">
-        <shadow type="math_number">
-          <field name="NUM">0</field>
-        </shadow>
-      </value>
-      <value name="direct">
-        <shadow type="text">
-          <field name="TEXT">12.jpg</field>
-        </shadow>
-      </value>
-    </block>
+    <block type="SCREEN_DISPLAY_IMAGE" m-show="micropython:esp32s3:mixgo_sant">
+        <value name="direct">
+          <shadow type="text">
+            <field name="TEXT">mixly.jpg</field>
+          </shadow>
+        </value>
+      </block>
     <block type="display_scroll_string">
       <value name="data">
         <shadow type="text">
@@ -2426,25 +2416,230 @@
       <block type="SHOOT_AND_SAVE_PICTURE">
         <value name="direct">
           <shadow type="text">
-            <field name="TEXT">12.jpg</field>
+            <field name="TEXT">mixly.jpg</field>
+          </shadow>
+        </value>
+        <value name="quality">
+          <shadow type="math_number">
+            <field name="NUM">90</field>
+          </shadow>
+        </value>  
+      </block>
+      <block type="variables_set">
+        <field name="VAR">frame</field>
+        <value name="VALUE">
+          <block type="GET_PICTURE_DATA_EXACT"></block>
+        </value>
+      </block>
+      <block type="GET_PICTURE_DATA_WHS"></block>
+      <block type="SCREEN_DISPLAY_IMAGE">
+        <value name="direct">
+          <shadow type="text">
+            <field name="TEXT">mixly.jpg</field>
           </shadow>
         </value>
       </block>
-      <block type="GET_PICTURE_DATA_EXACT"></block>
       <block type="SCREEN_SHOW_CAM_GRAPH_SHOOT">
-        <value name="boolean">
-          <shadow type="logic_boolean">
+        <value name="direct">
+          <shadow type="text">
+            <field name="TEXT">mixly.jpg</field>
           </shadow>
         </value>
       </block>
+      
+
+
+      
       <block type="AI_CAMERA_INIT">
           <value name="SUB">
             <shadow type="variables_get">
-              <field name="VAR">ai</field>
+              <field name="VAR">Model</field>
             </shadow>
           </value>
       </block>
-      <block type="GET_QR_CODE_RECOGNITION_DATA">
+      <block type="AI_CAMERA_INIT_FACERECOGNIZE">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+        <value name="PATH">
+          <shadow type="text">
+            <field name="TEXT">face.db</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="MODEL_LOGOUT">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="variables_set">
+        <field name="VAR">_results</field>
+        <value name="VALUE">
+        <block type="MODEL_RUN">
+          <value name="SUB">
+            <shadow type="variables_get">
+              <field name="VAR">Model</field>
+            </shadow>
+          </value>
+          <value name="FRAME">
+          <shadow type="variables_get">
+            <field name="VAR">frame</field>
+          </shadow>
+        </value>
+        </block>
+        </value>
+      </block>
+      <block type="MODEL_WHETHER_RUN_SUCCEED">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        
+      </block>
+      <block type="GET_HOW_MUCH_RECOGNITION">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="GET_NO_RECOGNITION">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        <value name="NO">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="GET_NO_CAT_OR_FACE_RECOGNITION">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        <value name="NO">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="GET_NO_XY_RECOGNITION">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        <value name="NO">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="GET_NO_XY_RECOGNITION_FACE">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        <value name="NO">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="GET_NO_FACE_RECOGNITION_INFO">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">_results</field>
+          </shadow>
+        </value>
+        <value name="NO">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="Register_color_recognition_fixed">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+        <value name="AREA">
+          <shadow type="math_number">
+            <field name="NUM">256</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="Register_color_recognition">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+        <value name="MIN">
+          <shadow type="tuple_create_with_text_return">
+            <field name="TEXT">0,0,0</field>
+          </shadow>
+        </value>
+        <value name="MAX">
+          <shadow type="tuple_create_with_text_return">
+            <field name="TEXT">255,255,255</field>
+          </shadow>
+        </value>
+        <value name="COLOR">
+          <shadow type="text">
+            <field name="TEXT">color</field>
+          </shadow>
+        </value>
+        <value name="AREA">
+          <shadow type="math_number">
+            <field name="NUM">256</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="REGISTER_NEW_FACE">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+        <value name="NAME">
+          <shadow type="text">
+            <field name="TEXT">name</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="DELETE_FACE_FROM_DATABASE">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+        <value name="ID">
+          <shadow type="math_number">
+            <field name="NUM">1</field>
+          </shadow>
+        </value>
+      </block>
+      <block type="PRINT_FACE_DATABASE">
+        <value name="SUB">
+          <shadow type="variables_get">
+            <field name="VAR">Model</field>
+          </shadow>
+        </value>
+      </block>
+
+      <!-- <block type="GET_QR_CODE_RECOGNITION_DATA">
         <value name="SUB">
           <shadow type="variables_get">
             <field name="VAR">ai</field>
@@ -2576,7 +2771,7 @@
             <field name="VAR">ai</field>
           </shadow>
         </value>
-      </block>
+      </block> -->
     </category>
     <category id="catAIvoicesensor" colour="#2FAD7A">
       <block type="VOICE_RECOGNITION_CONTROL"></block>
diff --git a/common/msg/blockly/zh-hans.js b/common/msg/blockly/zh-hans.js
index 6adb5f69..b546a19e 100644
--- a/common/msg/blockly/zh-hans.js
+++ b/common/msg/blockly/zh-hans.js
@@ -4097,7 +4097,7 @@ ZhHans.MIXLY_CAL_TO_ALTITUDE = '计算获取海拔';
 ZhHans.MIXLY_SHOOTING_SIZE = '拍摄尺寸';
 ZhHans.MIXLY_SHOOT_AND_SAVE_PICTURE = '拍摄照片并保存';
 ZhHans.MIXLY_GET_PICTURE_DATA = '获取摄像头图像';
-ZhHans.MIXlY_SCREEN_SHOW_CAM_SHOOT = '屏幕实时显示摄像头采集图像';
+ZhHans.MIXlY_SCREEN_SHOW_CAM_SHOOT = '屏幕显示摄像头数据';
 ZhHans.MIXLY_RECOGNITION = '检测';
 ZhHans.MIXLY_GET_QR_CODE_RECOGNITION_RESULT = '获取二维码检测结果';
 // ZhHans.MIXLY_GET_QR_CODE_RECOGNITION_RESULT_TOOLTIP = '无检测结果返回None,有结果左上角出现绿色小方块，并返回二维码信息。'
@@ -4221,4 +4221,24 @@ ZhHans.MIXLY_KJWX = '科研大模型';
 ZhHans.MIXLY_DIALOGUE_BACKGROUND = '对话背景';
 ZhHans.MIXLY_CUSTOMIZE_MODEL = '可定制化大模型';
 ZhHans.MIXLY_SUPPORT = '支持';
+ZhHans.MIXLY_HORIZONTAL_MIRRORING = '水平镜像';
+ZhHans.MIXLY_VERTICAL_MIRRORING = '垂直镜像';
+ZhHans.MIXLY_MODEL_NUMBER = '型号';
+ZhHans.MIXLY_IMAGE_QUALITY = '图像质量';
+ZhHans.MIXLY_ROTATION_ANGLE = '旋转角度';
+ZhHans.MIXLY_SYNC_DISPLAY = '同步显示';
+ZhHans.MIXLY_ONLY = '仅';
+ZhHans.MIXLY_HUMAN = '人';
+ZhHans.MIXLY_CAT = '猫';
+ZhHans.MIXLY_LOGOUT = '注销';
+ZhHans.REGUSTER_COLOR_RECOGNITION = '注册识别颜色(自定义)';
+ZhHans.MINIMUN_DETECTABLE_AREA = '最小检测面积(像素)';
+ZhHans.MIXLY_FACE_RECOGNIZER = '人脸分辨';
+ZhHans.PATH_OF_FACE_DATABASE = '人脸数据库文件的路径';
+ZhHans.register_a_new_face_in_the_database = '在数据库中注册新人脸';
+ZhHans.delete_the_face_from_the_database = '从数据库中删除人脸';
+ZhHans.print_the_contents_of_the_face_database = '打印人脸数据库的内容';
+ZhHans.MIXLY_FACE_ID = '面容ID';
+ZhHans.MILXY_FACE_SIMILARITY = '面容相似度';
+ZhHans.MIXLY_FACE_NAME = '面容姓名';
 })(); 
\ No newline at end of file