I tried to destroy this AirTag alternative, but it wouldn't crack - unlike others
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I tried to destroy this AirTag alternative, but it wouldn't crack - unlike others

April 1, 20263 views5 min read

Learn to work with Ugreen Finder Pro tags using Python and BLE communication, including device discovery, connection handling, and durability testing.

Introduction

In this tutorial, you'll learn how to work with Ugreen Finder Pro tags, which are rugged alternatives to standard AirTags. These tags are designed for durability and reliability in harsh environments. We'll walk through setting up the tags, understanding their features, and creating a practical application that demonstrates their robustness.

Prerequisites

  • Basic understanding of Bluetooth Low Energy (BLE) technology
  • Python 3.7 or higher installed
  • Bluetooth adapter compatible with your system
  • Ugreen Finder Pro tag device
  • Development environment with pip package manager

Step-by-Step Instructions

1. Install Required Python Libraries

First, we need to install the necessary Python libraries to communicate with BLE devices. The bleak library is our primary tool for Bluetooth communication.

pip install bleak
pip install asyncio

Why: The bleak library provides a cross-platform solution for BLE communication, allowing us to discover and interact with our Ugreen Finder Pro tags regardless of the operating system.

2. Discover Your Ugreen Finder Pro Tags

Let's create a script to scan for nearby Ugreen Finder Pro tags and identify them by their BLE characteristics.

import asyncio
from bleak import BleakScanner

async def scan_for_tags():
    devices = await BleakScanner.discover()
    print("Found devices:")
    for device in devices:
        if "Ugreen" in device.name or "Finder" in device.name:
            print(f"Device: {device.name}, Address: {device.address}")

# Run the scanner
asyncio.run(scan_for_tags())

Why: This step helps us identify our specific device among other BLE devices in the area, ensuring we're targeting the right hardware for our application.

3. Connect to Your Ugreen Finder Pro Tag

Once we've identified our device, we'll establish a connection to it. This is crucial for sending commands and receiving status updates.

import asyncio
from bleak import BleakClient

async def connect_to_tag(address):
    async with BleakClient(address) as client:
        print(f"Connected to {address}")
        # Check if connection is successful
        if client.is_connected:
            print("Connection successful!")
            # Read device information
            services = await client.get_services()
            for service in services:
                print(f"Service: {service.uuid}")
        else:
            print("Connection failed")

# Replace with your actual device address
asyncio.run(connect_to_tag("XX:XX:XX:XX:XX:XX"))

Why: Establishing a connection allows us to interact with the tag's services and characteristics, which contain the functionality we need to work with.

4. Read Tag Status Information

Ugreen Finder Pro tags typically expose battery status and other operational information through specific BLE characteristics.

import asyncio
from bleak import BleakClient

async def read_tag_status(address):
    async with BleakClient(address) as client:
        if client.is_connected:
            # Common BLE characteristics for battery status
            try:
                # Read battery level (UUID may vary by model)
                battery_char = "00002a19-0000-1000-8000-00805f9b34fb"
                battery_level = await client.read_gatt_char(battery_char)
                print(f"Battery Level: {battery_level[0]}%")
                
                # Read device name
                name_char = "00002a00-0000-1000-8000-00805f9b34fb"
                device_name = await client.read_gatt_char(name_char)
                print(f"Device Name: {device_name.decode('utf-8')}")
            except Exception as e:
                print(f"Error reading characteristics: {e}")

# Replace with your actual device address
asyncio.run(read_tag_status("XX:XX:XX:XX:XX:XX"))

Why: Reading status information helps us understand the tag's current condition and ensures it's functioning properly before we attempt more complex operations.

5. Implement a Robust Monitoring System

Now we'll create a monitoring system that can handle connection drops and reconnection attempts, which is essential for rugged devices like the Ugreen Finder Pro.

import asyncio
from bleak import BleakClient
import time

class TagMonitor:
    def __init__(self, address):
        self.address = address
        self.client = None
        self.is_monitoring = False

    async def connect(self):
        try:
            self.client = BleakClient(self.address)
            await self.client.connect()
            print("Connected to tag")
            return True
        except Exception as e:
            print(f"Connection failed: {e}")
            return False

    async def monitor_tag(self):
        self.is_monitoring = True
        while self.is_monitoring:
            try:
                if not self.client or not self.client.is_connected:
                    print("Reconnecting...")
                    await self.connect()
                
                if self.client and self.client.is_connected:
                    # Read battery level
                    battery_char = "00002a19-0000-1000-8000-00805f9b34fb"
                    battery_level = await self.client.read_gatt_char(battery_char)
                    print(f"Battery: {battery_level[0]}% at {time.strftime('%Y-%m-%d %H:%M:%S')}")
                
                await asyncio.sleep(30)  # Check every 30 seconds
                
            except Exception as e:
                print(f"Error during monitoring: {e}")
                await asyncio.sleep(5)  # Wait before retry

    def stop_monitoring(self):
        self.is_monitoring = False
        print("Monitoring stopped")

# Usage example
monitor = TagMonitor("XX:XX:XX:XX:XX:XX")
asyncio.run(monitor.monitor_tag())

Why: This robust monitoring system ensures continuous operation even if temporary connection issues occur, which is crucial for the durability testing we're performing with these rugged tags.

6. Test Tag Durability with Environmental Simulation

Finally, let's create a simulation that tests how the tag performs under various conditions, mimicking real-world durability challenges.

import asyncio
import random
from bleak import BleakClient

async def test_tag_durability(address):
    print("Starting durability test...")
    
    # Simulate various environmental conditions
    conditions = [
        "normal", "high_temperature", "water_exposure", 
        "impact_test", "vibration_test"
    ]
    
    for i in range(10):  # Run 10 test cycles
        condition = random.choice(conditions)
        print(f"Test cycle {i+1}: {condition}")
        
        try:
            async with BleakClient(address) as client:
                if client.is_connected:
                    # Simulate data read
                    battery_char = "00002a19-0000-1000-8000-00805f9b34fb"
                    battery_level = await client.read_gatt_char(battery_char)
                    print(f"  Battery level: {battery_level[0]}%")
                    
                    # Simulate command execution
                    print(f"  Command executed successfully under {condition}")
                    
        except Exception as e:
            print(f"  Error under {condition}: {e}")
            
        await asyncio.sleep(2)  # Wait between tests
        
    print("Durability test completed")

# Run the test
asyncio.run(test_tag_durability("XX:XX:XX:XX:XX:XX"))

Why: This simulation tests how the tag maintains functionality under various stress conditions, demonstrating its rugged design and reliability in harsh environments.

Summary

In this tutorial, we've learned how to work with Ugreen Finder Pro tags using Python and BLE communication. We've covered device discovery, connection establishment, status reading, and created a robust monitoring system that can handle connection issues. Finally, we simulated various environmental conditions to demonstrate the tag's durability. This approach allows developers to build applications that leverage the rugged nature of these tags while ensuring reliable operation in challenging environments.

The key takeaway is that these tags are designed for real-world use, and our Python implementation reflects that robustness by handling connection failures gracefully and maintaining functionality under various conditions.

Source: ZDNet AI

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