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DOFBOT Pro📖
1. Get started quickly
  • 0.Unboxing introduction video
  • 1. First Trial
  • 2. Analysis of common problems
  • 3. Calibration offset
  • 4. Jetpack old system upgraded to SUPER system
  • 5. Precautions for DIY Robotic Arm
  • 6. Jetson Nano Version – Must Read
  • 7.Robotic arm gripping anomaly solutions
2. Assembly course
  • 1. Installation video
  • 2. Calibrate the Robotic Arm
  • 3. Install the map
3. Remote control course
  • 1. Mobile APP control
  • 2. USB handle control
  • 3. PC web page programming
4. Preparation
  • 1. Manage APP control services
  • 2. Manage JupyterLab services
  • 3. Manage OLED services
  • 4. Modifying ROS_DOMAIN_ID for Multi-Machine
5. 2D visual tracking course
  • 1. Color block positioning
  • 2. Color block tracking
  • 3. Face positioning
  • 4. Face tracking
  • 5. Label code positioning
  • 6. Label code tracking
6. 2D visual grabbing course
  • 1. Identify grab color block
  • 2. Catch game
  • 3. Color sorting
  • 4. Color stacking
  • 5. Label code sorting
  • 6. Label code stacking
  • 7. Identify gesture grab color block
  • 8. Gesture stacking
  • 9.1 Single garbage sorting(Jetson-Nano)
  • 9.2 Single garbage sorting(Orin)
  • 10.1 Garbage sorting(Jetson-Nano)
  • 10.2 Garbage sorting(Orin)
  • 11. Tracking game
7. 2D Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall detection
  • 4. Facial Detection
  • 5. Face Detection
  • 6. Face effects
  • 7. 3D Object Recognition
  • 8. Paintbrush
  • 9. Finger control
  • 10. Gesture Recognition
  • 11. Gesture control robotic arm action group
  • 12. Arm posture control robotic arm
  • 13. Palm Targeting
  • 14.1 Robotic arm tracks the palm(Jetson-Nano)
  • 14.2 Robotic arm tracks the palm(Orin)
  • 15. Fingertip trajectory recognition
  • 16. Fingertip trajectory control robotic arm
  • 17. Gesture Grasp and Release Objects
  • 18. Finger Control Robot Arm
8. AI Large Model Voice Module (Must Read)new
  • 1. Introduction to AI Large Model Voice Module
  • 2. Flash the firmware (Must read)
  • 3. Modify the wake-up word and command word
9. 2D Voice Control Course
  • 1.Simple Voice Control
  • 2.Smart Voice Control
  • 3.Voice Action Control
  • 4.Memory Learning Mode
  • 5.Color Recognition with Voice Broadcast
  • 6.Color Recognition and Grasping with Voice Broadcast
  • 7.Color Recognition and Sorting with Voice Broadcast
  • 8.Voice Recognition Target Tracking
  • 9.Voice Control Stacking
  • 10.Voice Control Color Sorting
  • 11.1 Garbage Recognition with Voice Broadcast(Jetson Nano)
  • 11.2 Garbage Recognition with Voice Broadcast(Orin)
  • 12.1 Garbage Sorting with Voice Broadcast(Jetson Nano)
  • 12.2 Garbage Sorting with Voice Broadcast(Orin)
10. 3D Depth Camera Course
  • 1. Dabai_DCW2 camera
  • 2. Deep Pseudo-Color Image
  • 3. Depth camera ranging
  • 4. Color block volume measurement
11. 3D Robotic Arm Control and Inverse Kinematics
  • 1. Robotic arm ROS control
  • 2. Inverse solution
12. 3D Sorting and Grasping Course
  • 1. AprilTag ID sorting
  • 2. AprilTag abnormal height sorting
  • 3. MediaPipe Gesture-AprilTag ID sorting
  • 4. MediaPipe Gesture-AprilTag height sorting
  • 5. MediaPipe Gesture-AprilTag distance sorting
  • 6. Block color sorting
  • 7. Block abnormal height sorting
  • 8. Block different shape sorting
  • 9. Block shape abnormal height sorting
  • 10. Yolov11 garbage sorting(Orin)
13. 3D Tracking and Grasping Course
  • 1. AprilTag Tracking and Grasping
  • 2. Color Block Tracking and Grasping
  • 3. KCF Object Tracking and Grasping
14. 3D Voice Control for Grasping Course (Sorting & Tracking)
  • 1. Voice Control AprilTag ID Sorting
  • 2. Voice Control Remove Height Abnormal AprilTag
  • 3. Voice Control Tracking and Grasping AprilTag
  • 4. Voice Control Color Block Sorting
  • 5. Voice Control Remove Height Abnormal Color Block
  • 6. Voice Control Tracking and Grasping Color Block
  • 7. Voice Control Yolov11 Garbage Recognition Sorting
  • 8. Voice Control Object Tracking and Grasping
15. AI Model Basicsnew
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
16. AI Model Developmentnew
  • 1.Register a model service provider account
  • 2. Configure API-KEY
  • 3. Introduction to Dify
  • 4. Basic Dify Features
  • 5. Deploy the RAG knowledge base
  • 6. AI Large Model Development - chatbot
  • 7. RAG knowledge base + chatbot
  • 8. AI agent workflow
17. AI Model – Text Versionnew
  • 1. Semantic understand instruction following
  • 2. Multimodal visual understand
  • 3. Text Large Model + robotic arm control
  • 4. Multimodal Large Model+video understanding
  • 5. Multimodal Large Model+robotic arm gripping
  • 6. Multimodal Large Model+robotic arm tracking
  • 7. Multimodal Large Model+robotic arm sorting
  • 8. Multimodal Large Model+robotic arm handling
  • 9. Multimodal Large Model+Color Blocks Back In Place
  • 10. Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11. Text Large Model + YOLOv11 + Intelligent Garbage Classification
18. AI Model – Voice Versionnew
  • 1. Semantic understand instruction following
  • 2. Multimodal visual understand
  • 3. Text Large Model + robotic arm control
  • 4. Multimodal Large Model+video understanding
  • 5. Multimodal Large Model+robotic arm gripping
  • 6. Multimodal Large Model+robotic arm tracking
  • 7. Multimodal Large Model+robotic arm sorting
  • 8. Multimodal Large Model+robotic arm handling
  • 9. Multimodal Large Model+Color Blocks Back In Place
  • 10. Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11. Text Large Model + YOLOv11 + Intelligent Garbage Classification
19. AI Model – Fun Applicationsnew
  • 1.AI Butler-Intent Inference
  • 2.AI Encyclopedia-Arithmetic Master
  • 3.AI Encyclopedia-You asked I Pointed
  • 4.AI Encyclopedia-Nutritional Analysis
  • 5.AI Encyclopedia-Problem Solving Expert
  • 6.AI Encyclopedia-English Spelling
  • 7.AI Butler-Garbage Sorting
  • 8.AI Top Chef
20. MoveIt Course
  • 1. MoveIt Configuration
  • 2. MoveIt Usage
  • 3. MoveIt Drive Real Robot
  • 4. MoveIt Random Movement
  • 5. MoveIt Forward Kinematics Design
  • 6. MoveIt Inverse Kinematics Design
  • 7. MoveIt Cartesian Path
  • 8. MoveIt Scene Design
  • 9. MoveIt Trajectory Planning
  • 10. MoveIt Collision Detection
21. YOLOv11 Development Course (ORIN)
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
  • 9. Dataset Annotation
  • 10. Model Training_Conversion
  • 11. Model Prediction
22. YOLOv11 Development Course (Jetson Nano)
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
  • 9. Model Prediction
23. Linux Operating System
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
24. Basic Control Course
  • 1. Control RGB Light
  • 2. Control Buzzer
  • 3. Control Single Servo
  • 4. Read Servo Angle
  • 5. Control All Servos
  • 6. DOFBOT Up Down Left Right Movement
  • 7.DOFBOT dancing
  • 8. DOFBOT Memory Actions
  • 9. DOFBOT Grab Blocks
  • 10. Porter
  • 11. Stack Blocks
  • 12. Two DOFBOT Synchronized Actions
25. Jetson Board Basic Course
  • 1. Jetson board Introduction
  • 2. Write system image
  • 3. Re-write system image
  • 4. System startup
  • 5. System and desktop introduction
  • 6. System expansion
  • 7. Network Configuration
  • 8. SSH remote login and file transfer
  • 9. VNC Remote Login
  • 10. System backup
  • 11. Increased swap space
  • 12. Use of Jtop
26. GPIO Hardware Control Course
Jetson Nano
  • 1.GPIO library API usage
  • 2. Hardware library configuration
  • 3. Pin reading function
  • 4. Pin level output control
  • 5. Control LED
  • 6. External device serial communication
  • 7.I2C communication
Jetson Orin Nano_NX
  • 1.GPIO description
  • 2.GPIO library installation
  • 3.GPIO reading
  • 4.GPIO output
  • 5.Serial communication
  • 6.I2C communication
27. OpenCV Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Picture cut
  • 8. Picture pan
  • 9. Picture mirroring
  • 10. Affine transformation
  • 11. Picture rotation
  • 12. Perspective transformation
  • 13. Grayscale processing
  • 14. Binary image
  • 15. Edge green detection
  • 16. Line segment drawing
  • 17. Rectangular circle drawing
  • 18. Text and picture drawing
28. Visual Basics Course
  • 1. Camera display
  • 2. Color Calibration
  • 3. Color recognition
  • 4. Face Detection
  • 5.1 Garbage Identification(Jetson-Nano)
  • 5.2 Garbage Identification(Orin)
  • 6.1 Object Recognition(Jetson-Nano)
  • 6.2 Object Recognition(Orin)
  • 7. Label code recognition
  • 8.PID algorithm basics
29. ROS2 Basic Course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 Topic Communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
30. Visual Advanced Course
  • 1.QR code
  • 2.Human pose estimation
  • 3.Target Detection
  • 4.AR vision
  • 5.ROS+Opencv basics
  • 6.AR QR code
  • 7.Face recognition
  • 8.harris corner detection
  • 9.Target tracking algorithm
  • 10.Contour moment
  • 11.Polygon outline
  • 12.Discrete fourier transform algorithm
  • 13.Edge detection algorithm
  • 14.Face detection algorithm
  • 15.Optical flow detection algorithm
  • 16.Contour detection
  • 17.General contour detection
  • 18.Feature point tracking
  • 19.HLS color filtering
  • 20.Hough circle detection
  • 21.Hough linear detection
  • 22.HSV color filtering
  • 23.LK optical flow algorithm
  • 24.detection algorithm
  • 25.Phase dependent displacement detection
  • 26.Image pyramid sampling algorithm
  • 27.RGB color filtering
  • 28.Clear background detection algorithm
  • 29.Simplified optical flow algorithm
  • 30.Simple filter
  • 31.Threshold image processing
  • 32.Watershed segmentation algorithm
31. Jupyter Lab Usage Course
  • 1. Read the document before operation
  • 2. Jupyter lab environment construction tutorial
  • 3. Basic tutorial of Jupyter lab
  • 4. Jupyter widgets configuration tutorial
  • 5. Getting Started Tutorial for JupyterWidgets Controls
Download
  • APP(Android/iOS)
  • SystemFile_OrinNANOSUPER
  • SystemFile_OrinNXSUPER
  • SystemFile_NANO4GB_SUB
  • VM_File
  • Code
  • Instruction_Manual
  • Hardware_Info
  • 3D_Model_File
  • ROS2_Basic_VM
  • Tools
Download ZIP

Welcome to DOFBOT Pro repository

12.1 Garbage Sorting with Voice Broadcast(Jetson Nano)

Yolov5 Garbage Sorting with Voice Broadcast(Jetson Nano)

This course is exclusive to Jetson-Nano board users. Orin board users please refer to the course content in [12.2 Garbage Sorting with Voice Broadcast (Jetson Orin)].

Before running the function, you need to close the App and large programs. For the closing method, refer to [4.Preparation] - [1. Manage APP control services].

1. Function Description

Control garbage sorting through voice commands and broadcast the name and type of the currently sorted garbage through voice.

2. Startup and Operation

2.1. Startup

This case runs on the host machine.

First, you need to start roscore. Open the terminal and enter the following:

roscore

Then you need to start the ROS node service. Open the terminal and enter the following:

xxxxxxxxxx
rosrun dofbot_pro_info kinemarics_dofbot_pro

Open a third terminal and enter the following command:

xxxxxxxxxx
python3 ~/dofbot_voice/scripts/garbage_sorting_broadcast.py

The Jetson-Nano board startup will be relatively slow. Please wait patiently until the [Model-Loading] on the image screen disappears, indicating initialization is complete.

2.2. Operation Steps

Place the garbage label code block in the center of the image, then say "Hello, yahboom" to the voice module. The voice module will reply "here" to indicate successful wake-up. Then say "What garbage is this?" to the voice module. After the program recognizes it, the voice module will reply and broadcast what this garbage is and its type, and the robotic arm will grab this block and place it in the designated position according to its garbage type. Taking the figure below as an example, according to the recognition result, it will reply "This is a peach pit, which belongs to dry garbage". Then the robotic arm will lower its gripper to grab it and place it in the "dry garbage" area marked on the map.

image-20251125173831679

3. Core Code Analysis

Source code path: ~/dofbot_voice/scripts/garbage_sorting_broadcast.py

​x
#Import voice broadcast garbage type library, this library is located at /home/jetson/dofbot_pro/dofbot_garbage_yolov5/speech_garbage_identify.py
from speech_garbage_identify import speech_garbage_identify
​
#Call the garbage recognition function, the input parameter is the current image, then return the recognized processed image and recognition results
self.frame, msg = self.garbage_identify.garbage_run(self.frame)
​
#Traverse the recognition results msg, determine the number self.garbage_num and type self.garbage_class represented by the garbage name according to the value of name
for key, pos in msg.items(): name = key
if name == "Zip_top_can":              (self.garbage_num, self.garbage_class) = ('00', '01')
if name == "Old_school_bag":           (self.garbage_num, self.garbage_class) = ('01', '01')
if name == "Newspaper":                (self.garbage_num, self.garbage_class) = ('02', '01')
if name == "Book":                     (self.garbage_num, self.garbage_class) = ('03', '01')
if name == "Toilet_paper":             (self.garbage_num, self.garbage_class) = ('04', '02')
if name == "Peach_pit":                (self.garbage_num, self.garbage_class) = ('05', '02')
if name == "Cigarette_butts":          (self.garbage_num, self.garbage_class) = ('06', '02')
if name == "Disposable_chopsticks":    (self.garbage_num, self.garbage_class) = ('07', '02')
if name == "Egg_shell":                (self.garbage_num, self.garbage_class) = ('08', '03')
if name == "Apple_core":               (self.garbage_num, self.garbage_class) = ('09', '03')
if name == "Watermelon_rind":          (self.garbage_num, self.garbage_class) = ('10', '03')
if name == "Fish_bone":                (self.garbage_num, self.garbage_class) = ('11', '03')
if name == "Expired_tablets":          (self.garbage_num, self.garbage_class) = ('12', '04')
if name == "Expired_cosmetics":        (self.garbage_num, self.garbage_class) = ('13', '04')
if name == "Used_batteries":           (self.garbage_num, self.garbage_class) = ('14', '04')
if name == "Syringe":                  (self.garbage_num, self.garbage_class) = ('15', '04')
if name == "None":                     (self.garbage_num, self.garbage_class) = ('None', 'None')
#Get voice recognition result
result = mySpeech.speech_read()
#If the current voice recognition result is 94, it means asking what the current garbage is
if result == 94:
    if self.garbage_num == '00':
        mySpeech.void_write(94)
​
    elif self.garbage_num == '01':
        mySpeech.void_write(95)
​
    elif self.garbage_num == '02':
        mySpeech.void_write(96)
​
    elif self.garbage_num == '03':
        mySpeech.void_write(97)
​
    elif self.garbage_num == '04':
        mySpeech.void_write(109)
​
    elif self.garbage_num == '05':
        mySpeech.void_write(108)
​
    elif self.garbage_num == '06':
        mySpeech.void_write(107)
​
    elif self.garbage_num == '07':
        mySpeech.void_write(106)
​
    elif self.garbage_num == '08':
        mySpeech.void_write(105)
​
    elif self.garbage_num == '09':
        mySpeech.void_write(104)
​
    elif self.garbage_num == '10':
        mySpeech.void_write(103)
​
    elif self.garbage_num == '11':
        mySpeech.void_write(102)
​
    elif self.garbage_num == '12':
        mySpeech.void_write(101)
​
    elif self.garbage_num == '13':
        mySpeech.void_write(100)
​
    elif self.garbage_num == '14':
        mySpeech.void_write(99)
​
    elif self.garbage_num == '15':
        mySpeech.void_write(98)
#Start thread to grab garbage label code block
threading.Thread(target=self.single_garbage_grap, args=(self.garbage_class,)).start()
def single_garbage_grap(self, name):
    '''
    :param name: recognized garbage category
    '''
    self.arm.Arm_Buzzer_On(1)
    sleep(0.5)
    # Hazardous waste -- red 04
    if name == "04":
        # print("Hazardous waste")
        # Move to trash can position and drop corresponding pose
        joints_down = self.robot.P_HAZARDOUS_WASTE
        self.move(joints_down)
        # Movement complete
        self.status = 'waiting'
    # Recyclable waste -- blue 01
    if name == "01":
        # print("Recyclable waste")
        joints_down = self.robot.P_RECYCLABLE_WASTE
        self.move(joints_down)
        self.status = 'waiting'
    # Kitchen waste -- green 03
    if name == "03":
        # print("Kitchen waste")
        joints_down = self.robot.P_KITCHEN_WASTE
        self.move(joints_down)
        self.status = 'waiting'
    # Other waste -- gray 02
    if name == "02":
        # print("Other waste")
        joints_down = self.robot.P_OTHER_WASTE
        self.move(joints_down)
        self.status = 'waiting'
#Movement function
def move(self, joints_down):
    joints_uu = self.robot.P_TOP
    # Move over the object's position
    self.arm.Arm_serial_servo_write6_array(joints_uu, 1000)
    sleep(1)
    # Release the jaws
    self.arm.Arm_serial_servo_write(6, self.release_joint, 500)
    sleep(0.5)
    # Move to object position
    joints_center = self.robot.P_CENTER
    joints_center[5] = self.release_joint
    self.arm.Arm_serial_servo_write6_array(joints_center, 1000)
    sleep(1.5)
    # Gripping, clamping jaws
    self.arm.Arm_serial_servo_write(6, self.grap_joint, 500)
    sleep(0.5)
    # Set up
    self.arm.Arm_serial_servo_write6_array(joints_uu, 1000)
    sleep(1)
    # Lift to the top of the corresponding position
    self.arm.Arm_serial_servo_write(1, joints_down[0], 1000)
    sleep(1)
    # Lift to the corresponding position
    self.arm.Arm_serial_servo_write6_array(joints_down, 1000)
    sleep(1.5)
    # Release the object, release the gripper
    self.arm.Arm_serial_servo_write(6, self.release_joint, 500)
    sleep(0.5)
    # Put up
    self.arm.Arm_serial_servo_write(2, 90, 1000)
    sleep(1)
    # Move to initial position
    self.arm.Arm_serial_servo_write6_array(self.robot.P_LOOK_MAP, 1000)
    sleep(1.5)

 

Garbage Recognition with Voice Broadcast(Orin)
Garbage Sorting with Voice Broadcast(Orin)

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