Bluetooth Low Energy (BLE) is one of the most widely applicable low-power connectivity standards. Its purpose is to connect devices over a fairly short range. BLE was developed with IoT applications in mind, which has special implications for its design.
Integration of Bluetooth technology within Embedded Systems facilitates an expansive range of Application Domains to support devices at various design levels. Engaging Bluetooth into an embedded system creates value in device capability for specific needs, via the implementation of Bluetooth Profiles that can help the data transfer between compatible devices. Recent introductions to Bluetooth LE Audio in the SMART phone market deliver revolutions in Bluetooth audio capability, enabling users to share audio from a single device to multiple wireless headsets.
Bluetooth Low Energy is used almost everywhere, which is one of its core strengths compared to other low-power networks. This is one of the reasons why everyone looking into BLE when designing their solutions. Because of the well-established name of Bluetooth Classic, BLE had an easier time gaining trust among developers. All these factors combined made it the obvious choice for many consumer IoT applications and much more.
On the other hand, Bluetooth Low Energy is constantly being developed and perfected to meet the most current demands of the market, therefore, it is one of the top choices for embedded system developers to integrate BLE in their solutions.
The BleuIO is Bluetooth low energy USB dongle that can be used in embedded system solutuions. Just use the AT Commands available on the device for faster development. The BleuIO is a fully integrated solution, providing MCU and Bluetooth® radio in one chip, based on Dialog Semiconductor latest Bluetooth chip DA14683. The FLASH based device permits field or boot upgradable, while application is stored on FLASH memory. Projects and tutorials with source code can be found at https://www.bleuio.com/blog/?bleprojects
Python has a lot of GUI frameworks, but Tkinter is the only framework that’s built into the Python standard library. Tkinter has several strengths. It’s cross-platform, so the same code works on Windows, macOS, and Linux. Visual elements are rendered using native operating system elements, so applications built with Tkinter look like they belong on the platform where they’re run.
Tkinter is lightweight and relatively painless to use compared to other frameworks. This makes it a compelling choice for building GUI applications in Python, especially for applications where a modern sheen is unnecessary, and the top priority is to quickly build something functional and cross-platform.
In this article, we will try to create a simple Python GUI application that can scan for nearby Bluetooth devices using Pyserial and shows the list on the screen.
Connect the BleuIO to your computer. The script uses pyserial to connect to the Bluetooth USB dongle BleuIO.
Update the script and write the correct COM port (line 25), where the dongle is connected.
After connecting to the dongle, we put the dongle into the central role using AT+CENTRAL so that it can scan for nearby Bluetooth devices.
Then we do a simple Gap scan using AT+GAPSCAN=3 command to scan for nearby Bluetooth devices for 3 seconds.
After that, we read the output from the serial port and filter the device to get the unique number of devices.
Then we add a timestamp when the scan was completed.
Finally, we sort the result by RSSI value before printing it out on screen.
‘Scan again’ button will do the whole process again.
Here is the final script file.
# Gjort av William
# 2022-06-16
# Smart Sensors Devices AB
#
# libraries that is necessary for tkinter to work
import tkinter as tk
from tkinter import ttk
# this is imported for the dongle and also for the "time.sleep()" commands
import serial
import time
# this is the library that is uesd to check the current time
import datetime
now = datetime.datetime.now()
# this is what creates the main window
main_window = tk.Tk()
#changes the titel of the window
main_window.title('Scan for nearby Bluetooth devices')
# sets your port for the dongle
your_com_port = "COM18"
connecting_to_dongle = True
#changes the size of the screens window
window_width = 900
window_height = 500
# get the screen dimension
screen_width = main_window.winfo_screenwidth()
screen_height = main_window.winfo_screenheight()
# find the center point
center_x = int(screen_width/2 - window_width / 2)
center_y = int(screen_height/2 - window_height / 2)
# set the position of the window to the center of the screen
main_window.geometry(f'{window_width}x{window_height}+{center_x}+{center_y}')
# apply the grid layout
main_window.grid_columnconfigure(1, weight=1)
main_window.grid_rowconfigure(1, weight=1)
# create the text widget
text = tk.Text(main_window, height=30, width=30)
text.grid(row=1, column=1, sticky=tk.EW)
# this is the part of the code that communicates whit the dongle
print("Connecting to dongle...")
while connecting_to_dongle:
try:
console = serial.Serial(
port=your_com_port,
baudrate=57600,
parity="N",
stopbits=1,
bytesize=8,
timeout=0,
)
if console.is_open.__bool__():
connecting_to_dongle = False
except:
print("Dongle not connected. Please reconnect Dongle.")
time.sleep(5)
print("Connected to Dongle.")
console.write(str.encode("AT+CENTRAL"))
console.write("\r".encode())
print("Putting dongle in Central role.")
time.sleep(0.1)
console.write(str.encode("AT+GAPSCAN=3"))
console.write("\r".encode())
time.sleep(0.1)
print("Looking for nearby Bluetooth devices ...")
dongle_output2 = console.read(console.in_waiting)
time.sleep(3)
print("Scan Complete!")
filtered = []
for dev in dongle_output2.decode().splitlines():
if len(dev)>20:
filtered.append(dev.split(maxsplit=1)[1])
seen = set()
out = []
for elem in filtered:
prefix = elem.split(' ')[1]
if prefix not in seen:
seen.add(prefix)
out.append(elem)
# sort list
out.sort(key=lambda x:int(x.split()[3]), reverse=True)
# writes out the amount of bluetooth devices found on the main screen
text.insert('0.5', 'Amount of devices found: ' + str(len(out)) + '\n\n')
# funktion to get the current time
def get_time():
return now.strftime('%H:%M:%S')
# prints out the time of the scan on the main screen
text.insert('1.0','The time of the scan: ' + str(get_time()) + '\n\n')
# writes out the results on the main screen
for i in range(0,len(out)):
position = f'{i+5}.{len(out[i])}'
tempStr = out[i] + "\n"
text.insert(position,f' {tempStr}')
# is supposed to delet everyting on the list
out.clear()
#the funktion for the scan button
def button_clicked():
# enables the programe to change the results on the main screen to the new ones after the user presses the scan button
text['state'] = 'normal'
# update the current time.
now = datetime.datetime.now()
# funktion to get the current time
def get_time():
return now.strftime('%H:%M:%S')
# this simply puts a emty row betwen the results and the rest of the output on kommandotolken
print()
# this delets the previous output that is on the main screen
text.delete('0.0', tk.END)
# this is the part of the code that communicates whit the dongle
console.write(str.encode("AT+GAPSCAN=3"))
console.write("\r".encode())
time.sleep(0.1)
dongle_output2 = console.read(console.in_waiting)
time.sleep(3)
filtered = []
for dev in dongle_output2.decode().splitlines():
if len(dev)>20:
filtered.append(dev.split(maxsplit=1)[1])
seen = set()
out = []
for elem in filtered:
prefix = elem.split(' ')[1]
if prefix not in seen:
seen.add(prefix)
out.append(elem)
# sort list
out.sort(key=lambda x:int(x.split()[3]), reverse=True)
#writes out the time of the scan on the main screen
text.insert('1.0','The time of the scan: ' + str(get_time()) + '\n\n')
# writes out the amount of bluetooth devices found on the main screen
text.insert('0.0', 'Amount of devices found: ' + str(len(out)) + '\n\n')
# writes out the results on the main screen
for i in range(0,len(out)):
position = f'{i+5}.{len(out[i])}'
tempStr = out[i] + "\n"
text.insert(position,f' {tempStr}')
# makes it so that you cant edite the results on the main screen
text['state'] = 'disabled'
#what calls the function for the scan button. also fixes what the user will see as the buttons name.
main_button = ttk.Button(
main_window,
text='Scan again',
command=lambda: button_clicked()
)
# creat the scan button
main_button.grid(row=0, column=1, sticky=tk.EW)
# just an exit button.
exit_button = ttk.Button(
main_window,
text='Exit',
command=lambda: main_window.quit()
)
# this determens were the exit button is located
exit_button.grid(row=2, column=1, sticky=tk.EW)
# makes it so that you cant edite the results on the main screen
text['state'] = 'disabled'
# keeps the main window open
main_window.mainloop()
time.sleep(1)
console.close()
Source code is available at https://github.com/smart-sensor-devices-ab/python_gui_tkinter_bluetooth.git
Run the script
To run the script we use start
pythonw Scan_ble.pyw
Note : Scan_ble.pyw is the file name
Output
After running the script, we see a total 25 devices found nearby. We can scan again using the ‘Scan again’ button
Bluetooth Low Energy (BLE) is a low-power wireless technology used for connecting devices with each other. It is a popular communication method, especially in the era of the Internet of Things. Several devices around the house have a built-in Bluetooth transceiver and most of them provide useful capabilities to automate jobs. For that reason, it is really interesting to create a desktop application using C# that connects to the devices around the house and manages them.
In this example, we are going to create a simple C# windows form application that scans and shows a list of nearby Bluetooth devices.
Let’s start
As a first step let’s create a new project in visual studio and select C# windows form application from the list.
Choose a suitable name for your project. Once the project is created, we will see a blank form screen where we will add buttons and labels to communicate with BleuIO graphically through the serial port.
We will have buttons that connect and disconnects from the dongle. We create a button called Scan. And a text area will display a list of Bluetooth devices. The form will look like this
The .cs file associated to this will have the following code. Source code is available at https://github.com/smart-sensor-devices-ab/c-sharp-scan-bluetooth-device.git
using System;
using System.IO.Ports;
using System.Linq;
using System.Text;
using System.Windows.Forms;
namespace Scan_BLE_devices
{
public partial class Form1 : Form
{
SerialPort mySerialPort = new SerialPort("COM18", 57600, Parity.None, 8, StopBits.One);
public Form1()
{
InitializeComponent();
mySerialPort.DataReceived += new SerialDataReceivedEventHandler(mySerialPort_DataReceived);
mySerialPort.Open();
}
//print response from the dongle
private void mySerialPort_DataReceived(object sender, SerialDataReceivedEventArgs e)
{
SerialPort sp = (SerialPort)sender;
string s = sp.ReadExisting();
output_data.Invoke(new EventHandler(delegate { output_data.Text += s + "\r\n"; }));
//lbl_output.Invoke(this.myDelegate, new Object[] { s });
}
private void Form1_Load(object sender, EventArgs e)
{
}
private void btn_disconnect_Click_1(object sender, EventArgs e)
{
mySerialPort.Close();
Environment.Exit(0);
}
private void button1_Click_1(object sender, EventArgs e)
{
lbl_test.Text = "Connected";
}
private void submit_cmd_Click_1(object sender, EventArgs e)
{
output_data.Text = "";
byte[] bytes = Encoding.UTF8.GetBytes("AT+CENTRAL");
var inputByte = new byte[] { 13 };
bytes = bytes.Concat(inputByte).ToArray();
mySerialPort.Write(bytes, 0, bytes.Length);
System.Threading.Thread.Sleep(1000);
output_data.Text = "";
byte[] bytes2 = Encoding.UTF8.GetBytes("AT+GAPSCAN=3");
var inputByte2 = new byte[] { 13 };
bytes2 = bytes2.Concat(inputByte2).ToArray();
mySerialPort.Write(bytes2, 0, bytes2.Length);
//System.Threading.Thread.Sleep(3000);
}
private void output_data_TextChanged(object sender, EventArgs e)
{
}
}
}
As you can notice I wrote COM18 to connect to serial port because BleuIO device on my computer is connected to COM18. You can check your COM port from device manager. Lets run the project and click on connect button.
Once we are connected to BlueIO dongle through serial port, we will be able to scan for nearby Bluetooth device. Clicking on Scan button will show a list of nearby Bluetooth device on the screen.
Bluetooth Advertisements are crucial for any BLE device since they are utilized for all types of applications, whether that’s a device that allows connections or one that simply advertises its presence and includes data for others to discover.
The most important goal of advertising packets is to convey information to other BLE devices via the advertising packet type, and the advertising data types included in the packet.
Bluetooth beacons are the most prominent devices that take full advantage of Bluetooth advertising packets. This is due to the reason that most beacons stay in the advertising state throughout their lifetime (do not allow connections), so they rely completely on advertising for relaying the relevant information to the scanning devices.
I tried to create a simple python example script that scans for nearby Bluetooth devices and returns the manufacturer company information by reading the advertising packet.
Connect the BleuIO to your computer. The script uses pyserial to connect to the Bluetooth USB dongle BleuIO.
Update the script and write the correct COM port, where the dongle is connected. (main.py line 6)
After connecting to the dongle, we put the dongle into the central role so that it can scan for nearby Bluetooth devices.
Then we do a simple Gap scan using AT+GAPSCAN=3 command to scan for nearby Bluetooth devices for 3 seconds.
After that, we read the output from the serial port and print out the list of devices with MAC addresses.
User selects a device to get manufacturer company information
We read the advertising packet for this specific device.
Pass the response to a function which separates the manufacturer id.
Then we try to find a match from an object which I have downloaded recently from https://www.bluetooth.com/specifications/assigned-numbers/company-identifiers/
The company name shows on the screen.
Here is the final script file.
import serial
import time
from companydata import companyData
your_com_port = "COM18" # Change this to the com port your dongle is connected to.
connecting_to_dongle = True
print("Connecting to dongle...")
# Trying to connect to dongle until connected. Make sure the port and baudrate is the same as your dongle.
# You can check in the device manager to see what port then right-click and choose properties then the Port Settings
# tab to see the other settings
# function to get company name from advertised id
def getCompany(adv):
# example advertised package would look like this
# 0201061BFF5B070504220118A3003127ED006901090100000000000001BD03
# explains here
# https://twitter.com/josryke/status/763006284052463617/photo/1
indentifierReversed=''
# first part 02 is the length
length = int(adv[0:2],16)
pl =int(adv[length*2+2:length*2+4 ], 16)
# this gives us 1B which is 27 in decimal. that is our length
startsFrom = length*2+4
# this gives us 8, from where it starts
# now get the packet
fd=adv[startsFrom:pl]
# look for the position of flag FF
flagPosition = fd.find("FF")
if flagPosition!=-1:
identifier = fd[flagPosition+2:flagPosition+6]
# get 5B07
indentifierReversed = identifier[2]+identifier[3]+identifier[0]+identifier[1]
# get 075B
# now look for the company name on the list
for attr in companyData:
if attr['Hexadecimal']=='0x'+indentifierReversed:
theName=attr['Company']
else:
indentifierReversed='-'
theName='Unknown'
return theName
while connecting_to_dongle:
try:
console = serial.Serial(
port=your_com_port,
baudrate=115200,
parity="N",
stopbits=1,
bytesize=8,
timeout=0,
)
if console.is_open.__bool__():
connecting_to_dongle = False
except:
print("Dongle not connected. Please reconnect Dongle.")
time.sleep(5)
print("Connected to Dongle.")
#put the dongle in dual role, so we can scan for nearby device
console.write(str.encode("AT+CENTRAL"))
console.write("\r".encode())
print("Putting dongle in Central role.")
time.sleep(0.1)
# Scan for nearby devices for 3 seconds
console.write(str.encode("AT+GAPSCAN=3"))
console.write("\r".encode())
time.sleep(0.1)
print("Looking for nearby Bluetooth devices ...")
dongle_output2 = console.read(console.in_waiting)
time.sleep(3)
filtered = []
# Filter out unncecssary outputs and keep only the list of devices (also remove index)
for dev in dongle_output2.decode().splitlines():
if len(dev)>20:
filtered.append(dev)
# Get unique device by device id and add distance to each raw
seen = set()
out = []
for elem in filtered:
prefix = elem.split(' ')[2]
if prefix not in seen:
seen.add(prefix)
out.append(elem)
# sort list by closest device
# out.sort(key=lambda x:int(x.split()[3]),reverse=True)
print("Scan Completed! "+ str(len(out)) +" devices found.")
# print(out)
for i in range(0, len(out)):
print (out[i])
getInput = input("Select device from the list to get company identifier information (ex.1): ")
deviceToScan = out[int(getInput)-1].split(" ")[2]
# clear output
console.flushInput()
console.flushOutput()
time.sleep(0.1)
# Scan for advertised data of the selected device for 4 seconds
console.write(str.encode("AT+SCANTARGET="+deviceToScan+"=4"))
console.write("\r".encode())
time.sleep(0.1)
print("Getting company identifier information ...")
dongle_output3 = console.read(console.in_waiting)
time.sleep(5)
resp = dongle_output3.decode().splitlines()
# get the adv data only
for d in resp:
if('[ADV]' in d):
companyName=getCompany(d.split(" ")[-1])
break;
print(companyName)
time.sleep(0.1)
console.close()
Output
After running the script, we see a total of 20 devices found nearby. The script prints out the manufacturer company information of the device [05] Device: [1]C1:BF:22:71:81:36
This article is a guide for creating Java applications that can scan for nearby Bluetooth devices. This example project will be helpful to create BLE application easily. Source file is available.
The script has a COM port settings section. This section shows connected devices to the COM port. Using jSerialComm we get the list of COM ports and show it on a dropdown menu to select.
The connect and disconnect buttons manages the connection of the dongle.
Once we are connected to the BleuIO dongle, we will be able to write AT commands to the dongle using serial port write command.
By clicking on the SCAN button , it will put the dongle into CENTRAL mode, wait for one second and write another AT command (AT+GAPSCAN=3) to scan for nearby Bluetooth devices for three seconds.
The response will be available on the output panel.
The script can be updated as required. For example. If you want to scan for more than three seconds, just update the MainJFrame.java file 271 line.
Select jSerialComm library to resolve the issue. jSerialComm is available at root folder. You can also download it from https://fazecast.github.io/jSerialComm/
Step 2 : Run the project
Connect BleuIO dongle into the computer.
Run the project using NetBean play button.
Alternatively we can open the project using command line interface by going to the root folder of the project and type
java -jar "dist/JavaBleuIO.jar"
The output will look like this.
Lets select a COM port where the BleuIO dongle is connected and click connect. After successful connection, we should be able to click on scan button. The response will be available on output screen.
If we click on scan button again , it will look for nearby devices for three seconds and show the output.
Bluetooth ranging technology is very popular. There are many localization systems that exist based on beacons. Beacon technology usually estimates the distance between devices using the received signal strength (RSSI).
Bluetooth can be an excellent way to narrow down a search area at close distances when tracking something. This feature can be used in several fields. such as Secure Locks for Buildings and Automotive, Asset localization & tracking, Indoor navigation etc
GPS tracking isn’t excellent at giving accurate measurements of the close distance, especially in the indoor environment. On the other hand, Bluetooth is excellent in short ranges because the waves can go through walls. This might fill the gap that GPS tracking has when tracking devices in indoor spaces.
However, most calculations of the distance between two Bluetooth devices are estimates. It’s hard to determine the exact distance between two Bluetooth devices because many factors affect the calculations. Despite the challenges, there are methods to determine the distance between two Bluetooth devices with an accuracy of at least 80%.
The ranging method is simple to implement, and it has the formula to calculate the distance between two Bluetooth devices. As the name suggests, both devices need to be within Bluetooth range to estimate the distance.
This article will share a simple python script to determine nearby Bluetooth devices and their distance in meters.
This script scans for nearby Bluetooth devices and gets an approximation of the distance by using the well-known RSSI to distance formula.
Get the script from GitHub at https://github.com/smart-sensor-devices-ab/python_bluetooth_device_distance_meter.git
Connect the BleuIO to your computer. The script uses pyserial to connect to the Bluetooth USB dongle BleuIO.
Update the script and write the correct COM port, where the dongle is connected.
After connecting to the dongle, we put the dongle into the central role so that it can scan for nearby Bluetooth devices.
Then we do a simple Gap scan using AT+GAPSCAN=3 command to scan for nearby Bluetooth devices for 3 seconds.
After that, we read the output from the serial port and use our RSSI to distance formula to get the distance in meters.
Finally, we sort the result by distance before printing it out on screen.
Here is the final script file.
import serial
import time
your_com_port = "COM18" # Change this to the com port your dongle is connected to.
connecting_to_dongle = True
print("Connecting to dongle...")
# Trying to connect to dongle until connected. Make sure the port and baudrate is the same as your dongle.
# You can check in the device manager to see what port then right-click and choose properties then the Port Settings
# tab to see the other settings
while connecting_to_dongle:
try:
console = serial.Serial(
port=your_com_port,
baudrate=57600,
parity="N",
stopbits=1,
bytesize=8,
timeout=0,
)
if console.is_open.__bool__():
connecting_to_dongle = False
except:
print("Dongle not connected. Please reconnect Dongle.")
time.sleep(5)
print("Connected to Dongle.")
# function to convert rssi to distance in meter
def rssiToDistance(rssi):
n=2
mp=-69
return round(10 ** ((mp - (int(rssi)))/(10 * n)),2)
#put the dongle in dual role, so we can scan for nearby device
console.write(str.encode("AT+CENTRAL"))
console.write("\r".encode())
print("Putting dongle in Central role.")
time.sleep(0.1)
# Scan for nearby devices for 3 seconds
console.write(str.encode("AT+GAPSCAN=3"))
console.write("\r".encode())
time.sleep(0.1)
print("Looking for nearby Bluetooth devices ...")
dongle_output2 = console.read(console.in_waiting)
time.sleep(3)
print("Scan Complete!")
filtered = []
# Filter out unncecssary outputs and keep only the list of devices (also remove index)
for dev in dongle_output2.decode().splitlines():
if len(dev)>20:
filtered.append(dev.split(maxsplit=1)[1])
# Get unique device by device id and add distance to each raw
seen = set()
out = []
for elem in filtered:
prefix = elem.split(' ')[1]
if prefix not in seen:
seen.add(prefix)
out.append(elem + " Distance: "+str(rssiToDistance(elem.split()[3]))+" meter")
# sort list by closest device
out.sort(key=lambda x:int(x.split()[3]),reverse=True)
# print(out)
for i in range(0, len(out)):
print (out[i])
time.sleep(0.1)
console.close()
Output
After running the script, we see a total 20 devices found nearby. The list shows their distance in meter from the central device.
There are so many Bluetooth-enabled smart devices that it can be confusing how the technology connects the devices. Often we want to connect to multiple peripheral devices simultaneously to get advertised packets or do other operations. In this article, we will see how we can get advertised packets from two different Air quality monitoring sensor devices.
For this project, we will use Chrome Web serial API to connect to a Bluetooth USB dongle. Using the serial port read/write operation we will scan for specific device advertised data and filter out what we need. After that, we decode the advertised packet to meaningful air quality data using the device documentation.
At first, we will get the bleuIO javascript library from NPM. This library will help us easily connect to the serial port,wtire AT commands and read responses in real-time.
Type npm i bleuio on the command prompt of your project root folder.
After that, we create two files. index.html and script.js
Index.html will be responsible for the output and layouts of the project.
Script.js will have the programming and logic to connect to the dongle and read/write data.
There will be two buttons connect and get data.
The connect button will connect to the bleuIO dongle using the serial port.
The get data button will do several tasks.
At first, we put the dongle in a dual role (central mode) so that it can scan for peripheral devices. Then we will look for advertised data with their sensor ID one after another.
Using the documentation from the air quality device, we decode the advertised data.
import * as my_dongle from 'bleuio'
document.getElementById('connect').addEventListener('click', function(){
my_dongle.at_connect()
document.getElementById("connect").classList.add('disabled');
})
let dev1BoardID='45840D'
let dev2BoardID='60FDED'
document.getElementById('getData').addEventListener('click', function(){
//show loading
document.getElementById("loading").style.display = "block";
//make the dongle in dual role , so it can scan for peripheral devices advertised data
my_dongle.at_dual().then(()=>{
//scan for a devices advertised data, a PM sensor
my_dongle.at_findscandata(dev1BoardID,8).then((x)=>{
//it returns an array of advertised data
//from the array, we take the last one
//it looks like this "[F9:0D:35:E7:72:65] Device Data [ADV]: 0201061BFF5B07050345840DB1031527FB002A010402040004000400000001"
//then we split it by space
//so we can get the advertised data only (the last part)
return x[x.length-1].split(" ").pop()
}).then((adv1)=>{
//now lets decode the advertised data for this device using the device documentaion
let pmEnvData=advDataDecode(adv1)
//we do the same process to get advertised data of another device
//after waiting 1 seconds
setTimeout(()=>{
my_dongle.at_findscandata(dev2BoardID,8).then((y)=>{
let adv2= y[y.length-1].split(" ").pop()
//again we decode the advertised data for this device using the device documentaion
let co2EnvData=advDataDecode(adv2)
//now merge pm data to this array
co2EnvData.pm1=pmEnvData.pm1
co2EnvData.pm25=pmEnvData.pm25
co2EnvData.pm10=pmEnvData.pm10
document.getElementById('airData').innerHTML=`
Air Quality data from PM and CO2 sensor devices<br/><br/>
CO2 : ${co2EnvData.co2} ppm<br/>
PM 1.0 : ${co2EnvData.pm1} µg/m³<br/>
PM 2.5 : ${co2EnvData.pm25} µg/m³<br/>
PM 10 : ${co2EnvData.pm10} µg/m³<br/>
Temperature : ${co2EnvData.temp} °C<br/>
Humidity : ${co2EnvData.hum} %rH<br/>
Pressure : ${co2EnvData.pressure} mbar<br/>
Light : ${co2EnvData.light} Lux<br/>
`
//hide loading
document.getElementById("loading").style.display = "none";
})
},1000)
})
})
})
const advDataDecode =((data)=>{
let pos = data.indexOf("5B0705")
let dt = new Date();
let currentTs = dt.getFullYear()
+ '/'
+ (dt.getMonth() + 1).toString().padStart(2, "0")
+ '/'
+ dt.getDate().toString().padStart(2, "0")
+' '
+
dt.getHours().toString().padStart(2, "0")
+
':'
+
dt.getMinutes().toString().padStart(2, "0")
+
':'
+dt.getSeconds().toString().padStart(2, "0")
let tempHex=parseInt('0x'+data.substr(pos+22,4).match(/../g).reverse().join(''))
if(tempHex>1000)
tempHex = (tempHex - (65535 + 1) )/10
else
tempHex = tempHex/10
return {
"boardID":data.substr(pos+8,6),
"type":data.substr(pos+6,2),
"light":parseInt('0x'+data.substr(pos+14,4).match(/../g).reverse().join('')),
"pressure":parseInt('0x'+data.substr(pos+18,4).match(/../g).reverse().join(''))/10,
"temp":tempHex,
"hum":parseInt('0x'+data.substr(pos+26,4).match(/../g).reverse().join(''))/10,
"pm1":parseInt('0x'+data.substr(pos+34,4).match(/../g).reverse().join(''))/10,
"pm25":parseInt('0x'+data.substr(pos+38,4).match(/../g).reverse().join(''))/10,
"pm10":parseInt('0x'+data.substr(pos+42,4).match(/../g).reverse().join(''))/10,
"co2":parseInt('0x'+data.substr(pos+46,4)),
"ts":currentTs
}
})
In general, most of us think of Bluetooth as a simple device-to-device connection used to do things like play music or other audio (speakers/headsets), offer quick access (smartwatches), or perform other tasks. But there is a new Bluetooth standard and it allows the browser to control Bluetooth devices nearby.
These features can be accessed using Web Bluetooth or Web serial API. What is promising is that both features are already available in Chromium-based browsers (Google Chrome, Edge, Opera). It makes it easy for web developers to interact with users’ peripherals in their homes – if the user would of course allow them.
Web applications are adapting to face the challenges of a competitive native environment. There is a concern that the browser may connect to nearby Bluetooth devices – wondering what kind of information the site can access is a question that needs to be asked. The good news is that, as with all other APIs built into browsers like Chrome, every website has to request access. The browser shows a pop-up asking for permission to access the site in question, just as it does for messaging, site access or the webcam. If the user does not respond, the request will be denied automatically. Users can also change this permit decision at any time.
What is Web Bluetooth?
Web Bluetooth allows websites to communicate with nearby Bluetooth devices. That means no need to install any dedicated native app to connect to a beacon, heart rate monitor, smart light bulb, or any other Bluetooth Low Energy device. Using Web Bluetooth, developers can easily connect to nearby BLE devices and read/write Bluetooth characteristics. However, web Bluetooth has certain limitations when it comes to developing a complex Bluetooth application.
What is Web Serial?
A serial port is a bidirectional communication interface that allows sending and receiving data byte by byte. The Web Serial API provides a way for websites to read from and write to serial devices with JavaScript. These devices may be connected via a serial port, or by USB or Bluetooth devices that emulate a serial port.
Developing a complex Bluetooth Low Energy application for a web browser is relatively easy with Web Serial and a Bluetooth USB dongle BleuIO. The AT commands available on Bluetooth Low Energy USB dongle called Bleuio helps to do BLE operations easily. List of AT commands can be found here, https://www.bleuio.com/getting_started/docs/commands/
Another advantage of using Web Serial; there are good web serial libraries available along with BleuIO’s own JS library , which makes it easier to develop Bluetooth Low Energy applications.
We think both the API has the potential to revolutionize how companies will create the BLE devices of the future, allowing users to manage and configure these devices by simply using a browser. We also hope this becomes officially supported by more browsers.
A new AT command has been added that allows the user to see detailed response for every AT commands. This level of details can be helpful for troubleshooting problems as it explains the different error codes, disconnection reason codes and event codes. For that reason, users can take advantage of verbose mode for troubleshooting purposes and turn it off when it’s not needed.
This new mode changes the output to a more structured and unified format which includes command IDs for all command-related messages. The command-related outputs are more easily separatable from the event outputs. The idea is to make the BleuIO output more consistent, easier to use in scripts and generate more useful error messages.
The command to turn this new feature on and off is: ATV1 (on) ATV0 (off).
List of response format and code list is given below.
Response Format
Response Types
Descriton
Format
C
Command response. Assign a response index.
{“C”:Command Index,”cmd”:”command“}[Carriage Return] (ascii:\r\n hex:0x0A and 0x0D)
A
Acknowledgement response.
{“A”:Command Index,”err”:error code in hex,”errMsg”:”Error Message String“}[Carriage Return] (ascii:\r\n hex:0x0A and 0x0D)
R
Reply response. Different reply data for different commands. Not all commands have reply data.
{“R”:Command Index,Reply data}[Carriage Return] (ascii:\r\n hex:0x0A and 0x0D)
E
End response. Signify end of the command.
{“E”:Command Index,”nol”:number of lines belonging to this command (excluding scan responses))}[Carriage Return] (ascii:\r\n hex:0x0A and 0x0D)
Home automation involves automating household environment equipment. To achieve that, we have created a smart bulb that can be controlled remotely using smart phone app. The aim of this project is to control different home appliances using smartphone at your home.
Introduction
This example is showing how to control a GPIO pin on a RaspberryPi remotely from a smart phone (or another BleuIO Dongle).
For this example we will need:
A RaspberryPi
A BleuIO Dongle (https://www.bleuio.com/)
Our example python script (https://github.com/smart-sensor-devices-ab/bleuio_rpi_switch_example)
A way to connect to the GPIO Pin (Like a 5V Relay and a Lightbulb)
WARNING – THIS PROJECT INVOLVES HIGH VOLTAGES THAT CAN CAUSE SERIOUS INJURY OR DEATH. PLEASE TAKE ALL NECESSARY PRECAUTIONS, AND TURN OFF ALL POWER TO A CIRCUIT BEFORE WORKING ON IT.
Connecting the relay
Beware:
Always be very careful when experimenting with AC, electrical shock can result in serious injuries! NOTICE OF RISK; DISCLAIMER OF LIABILITY
Instructions for bleuio_rpi_switch_example.py
Connect the BleuIO Dongle to your RaspberryPi.
Edit the variable ‘switch’ in the script to the GPIO pin you want to use. (You can use the command pinout to get a graphical view showing you the GPIO pins for the board)
Finally just run python script and and use your phone to connect to the BleuIO Dongle and send on/off messages to controll the GPIO!
Instructions for connecting to the BleuIO from mobile
Download a BLE scanning App that can connect and read/write to a device. (Like nRFConnect or BLEScanner) Android, IOS
Look for the dongle, it will be advertising as ‘BleuIO’.
Connect to the BleuIO Dongle.
To enable BleuIO to recieve commands you must first write 0x01 to the Flow Control characteristic (UUID: 0783b03e-8535-b5a0-7140-a304d2495cb9)
Now you can write to the Server RX Data characteristic (UUID: 0783b03e-8535-b5a0-7140-a304d2495cba) to control the GPIO. |CMD|Effect| |–|–| |“SW=1”| ON| |“SW=0”| OFF|
The script
Here is the python script that receives the messages from smart phone app and helps control the light.
#!/usr/bin/python3
# Copyright 2022 Smart Sensor Devices in Sweden AB
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import time
import serial.tools.list_ports
import serial
import RPi.GPIO as io
switch = 7 # Edit this to suit your setup! (7 = GPIO 04), use command pinout to graphically show you the GPIO pins for the board
io.setmode(io.BOARD)
io.setup(switch, io.OUT)
master_array = []
index = 1
dongle_port = ""
print("\nWelcome to BleuIO RaspberryPi Switch Example!\n")
print("\nPlease insert dongle...")
try:
while len(master_array) == 0:
m_ports = serial.tools.list_ports.comports(include_links=False)
for port in m_ports:
if str(port.hwid).__contains__("VID:PID=2DCF"):
master = port.device + " " + port.hwid
if master.__contains__("VID:PID=2DCF:6002"):
print("Found dongle in port: %s" % port.device)
master_array.append(master)
dongle_port = port
break
for dongle in master_array:
print("\nConnecting to BleuIO @ %s\n" % dongle)
time.sleep(0.5)
dongle_conn = serial.Serial(
dongle_port.device,
115200,
timeout=1,
)
if not dongle_conn.is_open:
dongle_conn.open()
print("Starting Advertising...")
dongle_conn.write("AT+GAPDISCONNECTALL\rAT+DUAL\rAT+ADVSTART\rATI\r".encode())
read_tries = 0
dongle_resp = ""
while read_tries < 20:
dongle_resp = dongle_conn.readline().decode()
if "Not Advertising" in dongle_resp:
dongle_conn.write("AT+ADVSTART\r")
if b"Advertising\r\n" in dongle_resp.encode():
break
read_tries += 1
time.sleep(0.01)
if dongle_resp:
print("BleuIO is %s" % dongle_resp)
else:
print("ERROR! No response...")
exit()
print(
"Going into loop, waiting for signal to turn switch on/off...\n(Press Ctrl+C to abort)"
)
while True:
try:
dongle_resp = dongle_conn.readline().decode()
if "SW=0" in dongle_resp:
print("Turn Switch off!")
io.output(switch, io.LOW)
if "SW=1" in dongle_resp:
print("Turn Switch on!")
io.output(switch, io.HIGH)
except KeyboardInterrupt:
if dongle_conn.is_open:
dongle_conn.write("AT+GAPDISCONNECTALL\rAT+ADVSTOP\r".encode())
dongle_conn.close()
io.cleanup()
print("\nBye!")
exit()
except Exception as e:
print("(ERROR: %s)" % (e))
Output
We have tested the script using nRFConnect app from both IOS and Android phone to turn on/off the light bulb. Here is the output of this project.