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  • MCU & Interfacing with Infineon PSOC™
    • Basic MCU Interfacing
      • Introduction to CY8CKIT-062S2-43012 Pioneer Kit
      • Development Environment Preparation
      • PSoC™ 6S2 Peripherals Interfacing (GPIO)
        • Hello World and LED Blinking
        • GPIO Principles
        • PSoC™ 6S2 GPIO-HAL LED Blink Lab
        • PSoC™ 6S2 GPIO-PDL LED Blink Lab
        • Button "Bounce" Principles
          • Push/Pull Button to Turn ON/OFF LED via HAL
          • Push/Pull Button to Turn ON/OFF LED via PDL
          • GPIO Button Interrupt via HAL
          • GPIO Button Interrupt via PDL
        • GPIO variables & functions
      • PSoC™ 6S2 Peripherals Interfacing (ADC, PWM)
        • PSoC™ 6S2 SAR ADC
          • ADC Principles
          • PSoC™ 6S2 with ADC Labs
            • Reading potentiometer sensor value via an ADC HAL
            • Reading potentiometer sensor value via an ADC PDL
        • PSoC™ 6S2 PWM & TCPWM
          • PWM Principles
          • PSoC™ 6S2 for PMW Function Labs
            • LED Brightness using PWM via HAL
            • LED Brightness using PWM via PDL
    • Sensor Interfacing and HMI
      • OLED Display
        • OLED Display Principles
        • Calling BDH’s OLED functions
        • Display ADC via Potentiometer on OLED
      • BDH Shell
        • Shell Principles
        • LED Blinking and CAPSENSE via BDH Shell
        • Adding "History" command
        • Adding "Reboot" command
        • CAPSENSE Button and Slider
          • CAPSENSE Button and Slider with Capsense Tuner
          • CAPSENSE Button and Slider using FreeRTOS
    • Serial Communication & Visualization
      • UART, I2C, SPI Communication via Infineon PSoC™6
      • BMX160 Sensor Communication via Infineon PSoC™6
        • Reading ADC via HAL with Potentiometer and Displaying GUI on Serial Studio
        • Reading XENSIV-DPS-3XX Pressure Sensor and Displaying GUI on Serial Studio
        • Motion Sensors GUI Integration via Serial Studio
    • IoT Connectivity & Data Analytics via Node-Red
      • Node-Red Installation
      • Setting MQTTS to MQTT Broker
      • Sending PSoC6’s sensor to MQTT (node-red)
    • Edge AI on PSoC™
      • Machine Learning on PSoC™6 via Edge-Impulse
    • Infineon PSoC™ Troubleshooting
  • IoT Development with Infineon PSOC™ & BDH Platform
    • PSoC™ IoT Development Kit
      • Introduction to CY8CKIT-062S2-43012 Pioneer Kit
      • Development Environment Preparation
        • Hello World and LED Blinking
    • IoT Connectivity
      • Node-Red Installation
      • Controlling PSoC™ LED using MQTT
      • Setting MQTTS to MQTT Broker
      • Sending PSoC6’s sensor to MQTT (node-red)
    • BDH IoT Connectivity
    • WireLinX™ IoT PLC
    • BDH X-Brain Data Analytics
      • PSoC6 Data Collection to CSV log file
    • Data Visualization
      • สร้าง Dashboard ด้วย Looker Studio
  • 🖥️Operation Systems
    • Prerequisites
      • Guideline from Ubuntu
        • Ubuntu and VSCode on WSL2
      • ติดตั้ง WSL 2
      • Run Ubuntu on VirtualBox7
    • Zero to Linux Hero
      • Computer OS Architecture
      • Anatomy of Linux System
        • UNIX/Linux History
        • UNIX/Linux Evolution
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        • Linux OS Architecture
        • Command Line Interface (CLI)
          • Basic Commands
          • 😎Level up your Linux Shell
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      • Process Management
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        • Semaphore Programming
      • Applied IPC with Semaphore
  • ⌚Embedded Systems Development
    • Introduction to ESD
      • Why's ESD?
      • What it use for?
      • How it works?
    • Enbedded System Development via PSoC6
      • Basic MCU Interfacing
        • Introduction to CY8CKIT-062S2-43012 Pioneer Kit
        • Development Environment Preparation
        • PSoC™ 6S2 Peripherals Interfacing (GPIO)
          • Hello World and LED Blinking
          • GPIO Principles
          • PSoC™ 6S2 GPIO-HAL LED Blink Lab
          • PSoC™ 6S2 GPIO-PDL LED Blink Lab
          • Button "Bounce" Principles
            • Push/Pull Button to Turn ON/OFF LED via HAL
            • Push/Pull Button to Turn ON/OFF LED via PDL
            • GPIO Button Interrupt via HAL
            • GPIO Button Interrupt via PDL
          • GPIO variables & functions
        • PSoC™ 6S2 Peripherals Interfacing (ADC, PWM)
          • PSoC™ 6S2 SAR ADC
            • ADC Principles
            • PSoC™ 6S2 with ADC Labs
              • Reading potentiometer sensor value via an ADC HAL
              • Reading potentiometer sensor value via an ADC PDL
          • PSoC™ 6S2 PWM & TCPWM
            • PWM Principles
            • PSoC™ 6S2 for PMW Function Labs
              • LED Brightness using PWM via HAL
              • LED Brightness using PWM via PDL
      • Sensor Interfacing and HMI
        • OLED Display
          • OLED Display Principles
          • Calling BDH’s OLED functions
          • Display ADC via Potentiometer on OLED
        • BDH Shell
          • Shell Principles
          • LED Blinking and CAPSENSE via BDH Shell
          • Adding "History" command
          • Adding "Reboot" command
          • CAPSENSE Button and Slider
            • CAPSENSE Button and Slider with Capsense Tuner
            • CAPSENSE Button and Slider using FreeRTOS
      • Serial Communication & Visualization
        • UART, I2C, SPI Communication via Infineon PSoC™6
        • BMX160 Sensor Communication via Infineon PSoC™6
          • Reading ADC via HAL with Potentiometer and Displaying GUI on Serial Studio
          • Reading XENSIV-DPS-3XX Pressure Sensor and Displaying GUI on Serial Studio
          • Motion Sensors GUI Integration via Serial Studio
    • Edge Computing and IoT Connectivity
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    • Resources
      • Basic Hardware and Firmware
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          • การติดตั้งโปรแกรม Arduino IDE
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          • การติดตั้งโปรแกรมสำหรับใช้งานเครื่องมือวัด NI MyDAQ
            • ตัวอย่างการตั้งค่าใช้ Digital Multimeter -NI ELVISmx
            • ตัวอย่างการตั้งค่าใช้ Oscilloscope-NI ELVISmx
          • ติดตั้งโปรแกรม KingstVIS
        • Basic measurement
          • Basic Digital and Analog I/O
            • LAB: Basic Digital Input/Output
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          • Waveform
            • LAB: Oscilloscope
            • LAB: Oscilloscope and Function Generator
            • LAB: Pulse Width Modulation (PWM)
              • Homework
        • Interfacing and Communication
          • LAB: UART, RS485, RS232 Protocol
          • LAB: I2C Protocol
            • HOMEWORK
          • LAB: SPI Protocol
      • IoT Connectivity
        • Example: IoT with MQTT on Node-red
        • Data logger
        • LAB: Data Visualization
  • 🛠️C/C++ for Embedded Programming
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      • ติดตั้ง WSL 2
      • ติดตั้ง Ubuntu environment
      • ติดตั้งโปรแกรม Visual Studio Code
      • การเชื่อมต่อ Virtual studio code เข้ากับ WSL
      • ติดตั้ง docker on WSL
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          • Quiz Macro
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      • What's next?
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      • LAB4: Asynchronous VS Synchronous Circuit
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        • Step 1 - Burn the image to SD card
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        • Step 3 - Installing the Vitis-AI runtime packages
      • Application C/C++ on Ultra96v2 Part 2
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        • STEP 2 : How to working on Embedded
        • STEP 3 : How to run the test code
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        • Lab 1: Programming and cross complier
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        • STEP 1 : Setting gstreamer environment
        • STEP 2 : Create the Gstreamer element on template
        • STEP 3 : Testing and application on your gst element
  • 🤟Recommended by AIC
    • Skill Roadmap
      • Embedded Engineer
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    • Algorithmica
    • Thai Expert Knowledge
    • RT-Thread University Program
      • Infineon PSoC6
      • Kernel
        • Kernel Basics
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      • Tools
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      • Components
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          • Dynamic Modules
        • Network Components
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          • tmpfs: temporary file system
          • ulog log
          • utest testing framework
          • Power Management
          • RT-Link
        • Software Packages
          • Internet of Things
            • MQTT-umqtt
            • Telnet
          • Tools
            • SystemView
            • SEGGER_RTT
          • LVGL Manual
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      • Demo
        • Infineon Gateway
        • Handwriting Recognition (MNIST)
        • Object Detection (Darknet)
        • ROS using RT-Thread
        • Control the car using RT-Thread
        • LiDAR via RT-Thread
        • Detection via RT-Thread and ROS
        • Sensor Driver Development Guide
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Assoc. Prof. Wiroon Sriborrirux, Founder of Advance Innovation Center (AIC) and Bangsaen Design House (BDH), Electrical Engineering Department, Faculty of Engineering, Burapha University

On this page
  • Set up Environment
  • Install Infineon CyProgrammer, Nodejs, and Edge-impulse
  • Board Connecting
  • Let's start with Edge-Impulse
  • Collecting your first data
  • Use Prebuild Dataset
  • Design an Impulse
  • Training model
  • Classifier
  • Live Classification
  • Deploy the model

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  1. MCU & Interfacing with Infineon PSOC™
  2. Edge AI on PSoC™

Machine Learning on PSoC™6 via Edge-Impulse

PreviousEdge AI on PSoC™NextInfineon PSoC™ Troubleshooting

Last updated 4 months ago

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Set up Environment

Install Infineon CyProgrammer, Nodejs, and Edge-impulse

  1. : Use to flash firmware images into the target.

  2. Install v14 or higher on your computer.

  1. Install the CLI tools via:

npm install -g edge-impulse-cli --force

Board Connecting

Then select the base firmware image file you downloaded in the first step above (i.e., the file named firmware-infineon-cy8ckit-062s2.hex). You can now press the Connect button to connect to the board, and finally the Program button to load the base firmware image onto the CY8CKIT-062S2 Pioneer Kit.

  • Open Edge impulse through command prompt:

    edge-impulse-daemon

Let's start with Edge-Impulse

Collecting your first data

  • Make sure your device is connected.

  • Go to the Data acquisition tab in the studio. This is where your raw data is stored.

  • Choose "Record new data."

  • Select your device and set the label to "updown."

  • Set the sample length to 10,000, which means recording for 10 seconds.

  • Choose the Built-in accelerometer as the sensor.

  • Set the frequency to 62.5Hz, which is how often data points are recorded per second.

Use Prebuild Dataset

Alternately, you can import this dataset to your Edge Impulse project using the Edge Impulse CLI Uploader. If you haven't done so, follow the Installation instructions.

  • Unzip the file in a location of your choice.

  • Open a modus-shell and navigate to the place where you extracted the file.

$ edge-impulse-uploader --clean
  • Add training Dataset

$ edge-impulse-uploader --category training training/*.cbor
$ edge-impulse-uploader --category testing testing/*.cbor

Design an Impulse

In the studio go to Create impulse, set the window size to 2000 (you can click on the 2000 ms. text to enter an exact value), the window increase to 80, and add the 'Spectral Analysis', and 'Classification' blocks. Then click Save impulse.

  • Go to Spectral features => Save parameters => Generate features

Training model

Classifier

Live Classification

Deploy the model

We can connect to the board's newly flashed firmware over serial. Open a terminal and run:

$ edge-impulse-run-impulse

, and unzip the file. Once downloaded, unzip it to obtain the firmware-infineon-cy8ckit-062s2.hex file, which are using in following step.

You can use to flash your CY8CKIT-062S2 Pioneer Kit with our . To do this, first select your board from the dropdown list on the top left corner. Make sure to select the item that starts with CY8CKIT-062S2-43012:

Create account

That's all! Your device is now connected to Edge Impulse. To verify this, go to , and click Devices on the left sidebar. The device will be listed there:

Download the .

Ref:

Download the latest Edge Impulse
firmware
Infineon
CyProgrammer
base firmware image
https://studio.edgeimpulse.com/signup
your Edge Impulse project
gestures dataset
https://docs.edgeimpulse.com/docs/~/revisions/9dKGATK7EnFnYNRMlqcb/pre-built-datasets/continuous-gestures
Infineon
CyProgrammer
Nodejs
Infineon CyProgrammer
Nodejs
Connect the board to your computer
Open Cypress program and select the board CY8CKIT-062s2-43012
Device
Work flow in Machine learning Project
Collecting the dataset
Prepare all parameters before collecting the data.
Dataset result
Download Dataset
Training and Testing Data
modus-shell
Open a modus-shell and navigate to the place where you extracted the file.
After adding the dataset, you will see the Training and Testing data on Edge-Impulse.
Create Impulse
Spectral features
Select Classifier, Add Number of training cycles, Start Training.
Training result
Select Device
Classification Result
Model Testing Result
Model Deployer
Build Firmware for PSoC board
Built firmware successfully
Add ml firmware to PSoC using Cypress Program
Real Time Classification