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How to Use Lattepanda 3 Delta: Examples, Pinouts, and Specs

Image of Lattepanda 3 Delta
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Introduction

The LattePanda 3 Delta is a compact single-board computer that combines the power of an Intel processor with the versatility of an Arduino co-processor. This unique combination makes it an ideal choice for a wide range of applications, including Internet of Things (IoT) projects, robotics, and various DIY electronics projects. With its robust processing capabilities and extensive I/O options, the LattePanda 3 Delta is designed to meet the needs of both hobbyists and professionals.

Explore Projects Built with Lattepanda 3 Delta

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and IMU
Image of Rover: A project utilizing Lattepanda 3 Delta in a practical application
This circuit features a Raspberry Pi 5 as the central controller, interfaced with a TF LUNA LIDAR sensor for distance measurement and an MPU-6050 for motion tracking via I2C communication. It also includes two L298 motor drivers powered by a 12V battery to control four DC motors, with the Raspberry Pi's GPIO pins used to manage the direction and speed of the motors.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Mega 2560 Controlled Robotic Vehicle with Bluetooth Interface and MPU-6050 Sensor Integration
Image of BalancingRobot-V2: A project utilizing Lattepanda 3 Delta in a practical application
This is a robotic control circuit featuring an Arduino Mega 2560 microcontroller, which manages two DC motors via an L298N motor driver for motion control. It includes an MPU-6050 sensor for motion tracking and an HC-06 Bluetooth module for wireless communication. The Domino-8 connector facilitates power and signal connections among the components.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino and ESP32-CAM Based Temperature Monitoring and Timekeeping System
Image of NPD MVP: A project utilizing Lattepanda 3 Delta in a practical application
This is a multi-functional embedded system featuring temperature monitoring, timekeeping, visual display, potential Wi-Fi/camera capabilities, magnetic field detection, and power management with emergency stop functionality. It is designed around an Arduino UNO and an ESP32-CAM, with a buck converter for power regulation from a LiPo battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi Zero W-Based Health Monitoring System with LoRa and GPS
Image of PET COLLAR: A project utilizing Lattepanda 3 Delta in a practical application
This circuit is a multi-sensor data acquisition system powered by a Raspberry Pi Zero W. It integrates various sensors including a temperature sensor (LM35), an MPU-6050 accelerometer and gyroscope, a MAX30102 pulse oximeter, a GPS module, and a LoRa module for wireless communication. The system collects environmental and physiological data, which can be transmitted wirelessly via the LoRa module.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Lattepanda 3 Delta

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of Rover: A project utilizing Lattepanda 3 Delta in a practical application
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and IMU
This circuit features a Raspberry Pi 5 as the central controller, interfaced with a TF LUNA LIDAR sensor for distance measurement and an MPU-6050 for motion tracking via I2C communication. It also includes two L298 motor drivers powered by a 12V battery to control four DC motors, with the Raspberry Pi's GPIO pins used to manage the direction and speed of the motors.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of BalancingRobot-V2: A project utilizing Lattepanda 3 Delta in a practical application
Arduino Mega 2560 Controlled Robotic Vehicle with Bluetooth Interface and MPU-6050 Sensor Integration
This is a robotic control circuit featuring an Arduino Mega 2560 microcontroller, which manages two DC motors via an L298N motor driver for motion control. It includes an MPU-6050 sensor for motion tracking and an HC-06 Bluetooth module for wireless communication. The Domino-8 connector facilitates power and signal connections among the components.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of NPD MVP: A project utilizing Lattepanda 3 Delta in a practical application
Arduino and ESP32-CAM Based Temperature Monitoring and Timekeeping System
This is a multi-functional embedded system featuring temperature monitoring, timekeeping, visual display, potential Wi-Fi/camera capabilities, magnetic field detection, and power management with emergency stop functionality. It is designed around an Arduino UNO and an ESP32-CAM, with a buck converter for power regulation from a LiPo battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of PET COLLAR: A project utilizing Lattepanda 3 Delta in a practical application
Raspberry Pi Zero W-Based Health Monitoring System with LoRa and GPS
This circuit is a multi-sensor data acquisition system powered by a Raspberry Pi Zero W. It integrates various sensors including a temperature sensor (LM35), an MPU-6050 accelerometer and gyroscope, a MAX30102 pulse oximeter, a GPS module, and a LoRa module for wireless communication. The system collects environmental and physiological data, which can be transmitted wirelessly via the LoRa module.
Cirkit Designer LogoOpen Project in Cirkit Designer

Technical Specifications

Key Technical Details

Specification Details
Processor Intel Celeron N5105 Quad-Core
Co-Processor ATmega32u4 (Arduino Leonardo compatible)
RAM 8GB LPDDR4
Storage 64GB eMMC
Operating System Windows 10, Linux
Power Supply 5V/4A DC
Dimensions 115mm x 78mm x 14mm
Weight 92g

Pin Configuration and Descriptions

Intel Processor GPIO Pins

Pin Number Pin Name Description
1 3.3V 3.3V Power Output
2 5V 5V Power Output
3 GND Ground
4 GPIO0 General Purpose I/O
5 GPIO1 General Purpose I/O
6 TX UART Transmit
7 RX UART Receive
8 I2C_SCL I2C Clock
9 I2C_SDA I2C Data
10 SPI_MOSI SPI Master Out Slave In
11 SPI_MISO SPI Master In Slave Out
12 SPI_SCK SPI Clock
13 SPI_SS SPI Slave Select

Arduino Co-Processor Pins

Pin Number Pin Name Description
1 D0 Digital I/O
2 D1 Digital I/O
3 D2 Digital I/O
4 D3 Digital I/O (PWM)
5 D4 Digital I/O
6 D5 Digital I/O (PWM)
7 D6 Digital I/O (PWM)
8 D7 Digital I/O
9 D8 Digital I/O
10 D9 Digital I/O (PWM)
11 D10 Digital I/O (PWM)
12 D11 Digital I/O (PWM)
13 D12 Digital I/O
14 D13 Digital I/O (LED)
15 A0 Analog Input
16 A1 Analog Input
17 A2 Analog Input
18 A3 Analog Input
19 A4 Analog Input
20 A5 Analog Input

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect a 5V/4A DC power supply to the power input of the LattePanda 3 Delta.
  2. Connecting Peripherals: Use the GPIO pins to connect sensors, actuators, and other peripherals. Ensure that the voltage levels are compatible with the LattePanda 3 Delta.
  3. Programming the Arduino Co-Processor: Use the Arduino IDE to write and upload sketches to the ATmega32u4 co-processor. Connect the LattePanda 3 Delta to your computer via USB and select the appropriate board and port in the Arduino IDE.
  4. Running Applications: Install your desired operating system (Windows 10 or Linux) on the LattePanda 3 Delta. You can then run applications and scripts directly on the Intel processor.

Important Considerations and Best Practices

  • Heat Management: The LattePanda 3 Delta can generate significant heat during operation. Use a heat sink or cooling fan to prevent overheating.
  • Power Supply: Ensure that your power supply can provide a stable 5V/4A output to avoid power-related issues.
  • Static Discharge: Handle the board with care to avoid damage from static electricity. Use anti-static wrist straps and mats when working with the board.
  • Software Updates: Regularly check for firmware and software updates to ensure optimal performance and security.

Troubleshooting and FAQs

Common Issues Users Might Face

  1. Board Not Powering On

    • Solution: Check the power supply connection and ensure it is providing 5V/4A. Verify that the power supply is functioning correctly.
  2. Arduino Co-Processor Not Recognized

    • Solution: Ensure that the USB cable is properly connected. Check the device manager on your computer to see if the ATmega32u4 is listed. If not, try reinstalling the Arduino drivers.
  3. Overheating

    • Solution: Use a heat sink or cooling fan to manage the temperature. Ensure that the board is in a well-ventilated area.
  4. Peripheral Not Working

    • Solution: Verify the connections and ensure that the peripheral is compatible with the LattePanda 3 Delta. Check the voltage levels and pin configurations.

Solutions and Tips for Troubleshooting

  • Check Connections: Ensure that all connections are secure and correctly oriented.
  • Use Diagnostic Tools: Utilize diagnostic tools and software to identify issues with the board or peripherals.
  • Consult Documentation: Refer to the official LattePanda documentation and community forums for additional support and troubleshooting tips.

Example Code for Arduino Co-Processor

Here is an example code to blink an LED connected to the Arduino co-processor:

// Blink an LED connected to digital pin 13

void setup() {
  // Initialize digital pin 13 as an output.
  pinMode(13, OUTPUT);
}

void loop() {
  // Turn the LED on (HIGH is the voltage level)
  digitalWrite(13, HIGH);
  delay(1000); // Wait for a second

  // Turn the LED off by making the voltage LOW
  digitalWrite(13, LOW);
  delay(1000); // Wait for a second
}

This code will blink an LED connected to digital pin 13 on the Arduino co-processor every second.

By following this documentation, users can effectively utilize the LattePanda 3 Delta in their projects, ensuring optimal performance and reliability.