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How to Use Pytrack v1.1: Examples, Pinouts, and Specs

Image of Pytrack v1.1
Cirkit Designer LogoDesign with Pytrack v1.1 in Cirkit Designer

Introduction

The Pytrack v1.1, manufactured by Pycom, is a versatile GPS and LoRaWAN tracker designed for Internet of Things (IoT) applications. It features low power consumption, high precision, and seamless compatibility with Pycom development boards and other microcontrollers. The Pytrack v1.1 is equipped with a GPS module, accelerometer, and a microcontroller interface, making it ideal for location tracking, motion detection, and IoT-based asset management.

Explore Projects Built with Pytrack v1.1

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 Pytrack v1.1 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
Raspberry Pi Pico-Controlled Automatic Golf Tee System with PIR Sensor and H-Bridge Motor Driver
Image of AutoTee: A project utilizing Pytrack v1.1 in a practical application
This circuit is designed for an automatic golf tee system controlled by a Raspberry Pi Pico microcontroller. It features a PIR sensor to detect the presence of a golf ball, three pushbuttons for user input to raise the tee, and adjust the height up or down. The system uses an H-bridge motor driver to control a linear actuator that adjusts the tee's height, with a buck converter stepping down voltage from a 12V power supply to a lower voltage suitable for the Raspberry Pi Pico and other components.
Cirkit Designer LogoOpen Project in Cirkit Designer
Battery-Powered Raspberry Pi Pico GPS and Sensor Data Logger
Image of CanSet v1: A project utilizing Pytrack v1.1 in a practical application
This circuit is a data logging and telemetry system powered by a LiPoly battery and managed by a Raspberry Pi Pico. It includes sensors for environmental data (BMP280 for pressure and temperature, MPU9250 for motion), a GPS module for location tracking, and an SD card for data storage, with a TP4056 module for battery charging and a toggle switch for power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Adafruit MPU6050 and VL6180X Sensor Interface with Servo Control
Image of wire: A project utilizing Pytrack v1.1 in a practical application
This circuit features an Adafruit QT Py microcontroller interfaced with an Adafruit MPU6050 6-axis accelerometer/gyroscope and an Adafruit VL6180X Time of Flight (ToF) distance sensor, both connected via I2C communication. The QT Py also controls a Servomotor SG90, likely for physical actuation based on sensor inputs. The embedded code initializes the sensors, reads their data, and outputs the readings to a serial monitor, with the potential for motion control based on the sensor feedback.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Pytrack v1.1

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 Pytrack v1.1 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 AutoTee: A project utilizing Pytrack v1.1 in a practical application
Raspberry Pi Pico-Controlled Automatic Golf Tee System with PIR Sensor and H-Bridge Motor Driver
This circuit is designed for an automatic golf tee system controlled by a Raspberry Pi Pico microcontroller. It features a PIR sensor to detect the presence of a golf ball, three pushbuttons for user input to raise the tee, and adjust the height up or down. The system uses an H-bridge motor driver to control a linear actuator that adjusts the tee's height, with a buck converter stepping down voltage from a 12V power supply to a lower voltage suitable for the Raspberry Pi Pico and other components.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of CanSet v1: A project utilizing Pytrack v1.1 in a practical application
Battery-Powered Raspberry Pi Pico GPS and Sensor Data Logger
This circuit is a data logging and telemetry system powered by a LiPoly battery and managed by a Raspberry Pi Pico. It includes sensors for environmental data (BMP280 for pressure and temperature, MPU9250 for motion), a GPS module for location tracking, and an SD card for data storage, with a TP4056 module for battery charging and a toggle switch for power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of wire: A project utilizing Pytrack v1.1 in a practical application
Adafruit MPU6050 and VL6180X Sensor Interface with Servo Control
This circuit features an Adafruit QT Py microcontroller interfaced with an Adafruit MPU6050 6-axis accelerometer/gyroscope and an Adafruit VL6180X Time of Flight (ToF) distance sensor, both connected via I2C communication. The QT Py also controls a Servomotor SG90, likely for physical actuation based on sensor inputs. The embedded code initializes the sensors, reads their data, and outputs the readings to a serial monitor, with the potential for motion control based on the sensor feedback.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • GPS-based location tracking for IoT devices
  • Asset tracking and fleet management
  • Motion detection and activity monitoring
  • Low-power IoT applications requiring geolocation
  • Integration with Pycom boards for rapid prototyping

Technical Specifications

Key Technical Details

Parameter Specification
Manufacturer Pycom
Part ID Pytrack v1.1
GPS Module Quectel L76-L
Accelerometer LIS2HH12 (3-axis accelerometer)
Interface I2C, UART
Power Supply Voltage 3.3V to 5.5V
Operating Temperature -40°C to +85°C
Dimensions 55mm x 35mm
Compatibility Pycom boards (e.g., LoPy, WiPy, etc.)

Pin Configuration and Descriptions

The Pytrack v1.1 features a micro-USB port for power and communication, as well as a 16-pin header for interfacing with Pycom development boards or other microcontrollers.

Pin Number Pin Name Description
1 3V3 3.3V Power Supply
2 GND Ground
3 SDA I2C Data Line
4 SCL I2C Clock Line
5 TX UART Transmit
6 RX UART Receive
7 RST Reset
8 PWR_EN Power Enable
9-16 Reserved Reserved for Pycom board connections

Usage Instructions

How to Use the Pytrack v1.1 in a Circuit

  1. Powering the Pytrack v1.1:
    Connect the Pytrack to a 3.3V or 5V power source via the micro-USB port or the 3V3 pin. Ensure the ground (GND) is connected to the circuit's ground.

  2. Interfacing with a Microcontroller:

    • Use the I2C pins (SDA and SCL) to communicate with the accelerometer and other onboard sensors.
    • Use the UART pins (TX and RX) to interface with the GPS module.
  3. Connecting to a Pycom Board:

    • Align the Pycom development board (e.g., LoPy, WiPy) with the Pytrack's 16-pin header.
    • Ensure proper orientation to avoid damaging the board.
  4. Programming the Pytrack:

    • Install the Pycom firmware and libraries for the Pytrack.
    • Use the Pycom Pymakr plugin with an IDE like Visual Studio Code or Atom to write and upload code.

Important Considerations and Best Practices

  • Power Supply: Ensure a stable power supply to avoid erratic behavior of the GPS module and accelerometer.
  • Antenna Placement: For optimal GPS performance, place the Pytrack in an open area with minimal obstructions.
  • Firmware Updates: Regularly update the Pycom firmware to ensure compatibility and access to the latest features.
  • Low Power Mode: Utilize the low-power features of the Pytrack for battery-powered applications.

Example Code for Arduino UNO

The Pytrack v1.1 is typically used with Pycom boards, but it can also be interfaced with an Arduino UNO using I2C. Below is an example code snippet to read data from the accelerometer:

#include <Wire.h>

// I2C address of the LIS2HH12 accelerometer
#define ACCEL_I2C_ADDR 0x1D

void setup() {
  Wire.begin(); // Initialize I2C communication
  Serial.begin(9600); // Initialize serial communication

  // Configure the accelerometer
  Wire.beginTransmission(ACCEL_I2C_ADDR);
  Wire.write(0x20); // CTRL_REG1: Enable accelerometer
  Wire.write(0x57); // Set data rate to 100 Hz, enable all axes
  Wire.endTransmission();

  Serial.println("Pytrack Accelerometer Initialized");
}

void loop() {
  int16_t x, y, z;

  // Request accelerometer data
  Wire.beginTransmission(ACCEL_I2C_ADDR);
  Wire.write(0x28 | 0x80); // OUT_X_L register with auto-increment
  Wire.endTransmission();
  Wire.requestFrom(ACCEL_I2C_ADDR, 6);

  // Read X, Y, Z axis data
  if (Wire.available() == 6) {
    x = Wire.read() | (Wire.read() << 8);
    y = Wire.read() | (Wire.read() << 8);
    z = Wire.read() | (Wire.read() << 8);
  }

  // Print accelerometer data
  Serial.print("X: "); Serial.print(x);
  Serial.print(" Y: "); Serial.print(y);
  Serial.print(" Z: "); Serial.println(z);

  delay(500); // Delay for readability
}

Troubleshooting and FAQs

Common Issues and Solutions

  1. Pytrack Not Powering On:

    • Ensure the power supply voltage is within the 3.3V to 5.5V range.
    • Check the USB cable or power connections for faults.
  2. GPS Not Acquiring Signal:

    • Verify that the GPS antenna is properly connected and placed in an open area.
    • Allow sufficient time for the GPS module to acquire a signal (cold start may take a few minutes).
  3. I2C Communication Fails:

    • Confirm the correct I2C address (default: 0x1D for the accelerometer).
    • Check the SDA and SCL connections for continuity.
  4. Pycom Board Not Detected:

    • Ensure the Pycom board is properly seated on the Pytrack header.
    • Update the Pycom firmware and libraries.

FAQs

Q: Can the Pytrack v1.1 be used with non-Pycom microcontrollers?
A: Yes, the Pytrack can be interfaced with other microcontrollers like Arduino or Raspberry Pi using I2C or UART.

Q: How do I update the Pytrack firmware?
A: Use the Pycom Firmware Update Tool, available on the Pycom website, to update the firmware.

Q: What is the typical power consumption of the Pytrack?
A: The Pytrack consumes approximately 20-30mA during normal operation, depending on the active modules.

Q: Can I use the Pytrack for outdoor applications?
A: Yes, but ensure the device is housed in a weatherproof enclosure for protection.