ESP32 Project

Radar controlled by ESP32

02-01-22 5292

Radar (Radio Detection and Ranging) is a technology used to detect and locate objects by emitting radio waves and measuring the reflected waves that are bounced back. It works by sending out a radio frequency (RF) signal and then measuring the time it takes for the signal to be reflected back to the radar antenna. The distance to the object can be determined by measuring the time it takes for the signal to travel to the object and back.

Radar can be used for a wide variety of applications, including air and sea navigation, weather forecasting, and military and law enforcement operations. It is also commonly used in civilian applications such as traffic control, speed detection, and collision avoidance systems in cars.

There are different types of radar systems, each with different characteristics and uses. Some examples include:

Pulse radar: emits a short burst of radio waves, which reflects off the target and returns back to the radar antenna.
Continuous wave radar: emits a continuous radio wave, and by measuring the Doppler shift in frequency of the reflected wave, it can determine the target’s speed.
FMCW radar (Frequency Modulated Continuous Wave): similar to continuous wave radar but the transmitted frequency is continuously varied. It’s widely used in radar altimeter, distance measuring and also in Automotive radar.
Synthetic Aperture Radar (SAR): uses the motion of the radar antenna over a target to provide high-resolution images of the target.

It is a widely used technology with many different applications, and it continues to evolve with new technologies and innovations.

It is possible to use an ESP32 microcontroller to control and interface with a radar sensor. The ESP32 can be used to send commands to the radar sensor, receive data from it, and process the data. The ESP32 can be programmed to perform tasks such as rangefinding, target tracking, and obstacle detection, depending on the capabilities of the specific radar sensor being used.

One example of a radar sensor that can be used with the ESP32 is the Ultra-Wideband (UWB) radar sensor. This type of sensor uses a very narrow RF pulse, which allows for high-precision rangefinding and target tracking. The ESP32 can be used to send commands to the UWB radar sensor, receive the range measurements and then use that data to calculate the position of a target.

Another example is the radar sensors used in the Automotive radar, which are based on the FMCW (Frequency Modulated Continuous Wave) principle. The ESP32 can be used to send commands to the sensor, receive the data and process it to detect the distance, speed and angle of other vehicles or obstacles.

The ESP32 also has built-in support for USB Serial Communication , which can be used to transmit the radar data to other devices, such as a computer or smartphone, for further processing or display.

There are several ways to send data from an ESP32 microcontroller to a computer, depending on the specific requirements of the project and the capabilities of the computer. Some common methods include:

USB Serial Communication: The ESP32 can be connected to a computer via a USB cable and configured to act as a serial device. The computer can then use a serial terminal program to receive and send data to the ESP32. This method is simple and easy to set up, but it has a limited data transfer rate.
Wi-Fi: The ESP32 can be configured as a Wi-Fi client and connect to an existing Wi-Fi network. Once connected, the ESP32 can send data to the computer by opening a socket and sending the data to the computer’s IP address. This method allows for faster data transfer rates and greater flexibility, but it requires a Wi-Fi network to be available.
Bluetooth: The ESP32 has built-in Bluetooth capabilities, it can be configured as a Bluetooth client and send data to a computer that is running a Bluetooth server. This method allows for low power consumption and low data transfer rates.
MQTT: The ESP32 can be configured to send data to a computer using the MQTT protocol, which is a lightweight messaging protocol for the Internet of Things (IoT) applications. This method requires a MQTT broker to be set up on the computer and it’s useful when the ESP32 is sending data to multiple devices or when the connection is unreliable.
HTTP: The ESP32 can be configured to send data over HTTP to a webserver running on a computer. This method can be useful when the data needs to be accessed over the internet or when the data needs to be stored in a database.

In all the above methods, the ESP32 needs to be programmed to send the data in a specific format and the computer needs to be programmed to receive and process the data.

Objective of this project:

In this project, we are going to design a project using the ESP32 board and an ultrasonic sensor for detection.

This project aims to produce a prototype radar system that detects fixed and moving objects.

Operation of the radar controlled by ESP32:

Components required

ESP32 board

ESP32 is a series of low-cost, low-power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. It was developed by Espressif Systems, a Shanghai-based Chinese company. The ESP32 chip is a powerful microcontroller that has a dual-core processor with a clock speed of up to 240 MHz, and it has a wide range of peripheral interfaces, such as I2C, SPI, UART, and ADC. It also has built-in support for Bluetooth and Wi-Fi, which makes it suitable for a wide range of IoT (Internet of Things) applications.

HC-SR04 sensor

The HC-SR04 is an ultrasonic distance sensor that uses the principle of echolocation to determine the distance of an object. It works by emitting a high-frequency sound wave and measuring the time it takes for the sound wave to bounce back from an object. The distance of the object can be calculated by measuring the time it takes for the sound wave to travel to the object and back, and then using the speed of sound to determine the distance.

The HC-SR04 sensor includes an ultrasonic transmitter and receiver, and it can be used to measure distances up to 4 meters with an accuracy of 3mm. The sensor is inexpensive, small in size and easy to interface with a microcontroller like the ESP32.

The ESP32 can be used to trigger the HC-SR04 sensor to emit a sound wave, measure the time it takes for the sound wave to bounce back, and then calculate the distance of the object. The ESP32 can also be used to display the distance measurements on an LCD screen or send the data over a Wi-Fi or Bluetooth connection to another device.

It’s a popular choice for hobbyist and educational projects because of its low cost and ease of use. However, it has some limitations, such as not being able to detect objects behind walls or with a reflective surface, sensitivity to ambient noise and it’s not suitable for high-speed object detection.

Servomotor

A servomotor can be used to move the HC-SR04 ultrasonic distance sensor in order to provide a wider field of view or to scan an area for objects. A servo motor is a type of motor that can rotate to a specific position, and it can be controlled by sending a series of pulses to it.

To move the HC-SR04 sensor using a servo motor, the ESP32 microcontroller can be used to generate the control pulses for the servo motor. The ESP32 can send a series of pulses to the servo motor to rotate it to a specific position and then trigger the HC-SR04 sensor to emit a sound wave and measure the distance. The ESP32 can then repeat the process to rotate the servo motor to a different position and take another distance measurement.

This way, the servo motor can be programmed to rotate the HC-SR04 sensor through a range of angles, and the ESP32 can collect the distance measurements at each angle to create a 3D map of the environment.

connecting wires

Wires are used to transmit electrical signals and power to various components such as motors, sensors, and microcontrollers. It’s important to properly route and secure the wires to prevent tangles and damage. There are several methods for doing this, including using cable ties, clamps, and wire looms. It’s also a good idea to use different colors or labeling to identify the different wires and their functions. When connecting wires in a robot, it’s important to follow proper safety procedures, such as using the correct wire stripper and connectors, and wearing protective equipment such as gloves and safety glasses.

Test plate

An electronic test plate is a type of laboratory equipment that is used to hold and organize electronic components or printed circuit boards (PCBs) during testing or analysis. It is similar to a traditional test plate, but it is designed specifically for electronic components.

Assembly:

To do the editing, we connected:

For the HC-SR04 sound sensor:

the VCC pin to the 3.3V pin of ESP32
the Trig pin to pin D22 of ESP32
the ECHO pin to pin D21 of ESP32
the GND pin to the GND pin of ESP32

For the servomotor:

red wire: power supply wire to connect to 5V energy
brown wire: wire to connect to the GND pin of ESP32
Yellow: Positioning signal wire connected to pin D23 of ESP32

Micropython program

Here is the program that allows you to:

calculate the distance between the HC-SR04 sensor and the detected object
turn the servomotor
send data (servo motor position and distance) from the Arduino board to the computer.

Note: you must use these two libraries: hcsr04 and servo.

import machine
from hcsr04 import HCSR04
from machine import UART,Pin
from servo import Servo
import utime
# Initialize a UART objects
uart = UART(2, baudrate=115200)
sensor = HCSR04(trigger_pin=22,echo_pin=21,echo_timeout_us=1000000)
servo_pin = machine.Pin(23)
my_servo = Servo(servo_pin)
delay = 0.01
min = 15
max = 165
count = 1
while True:
    for i in range(min,max):
      my_servo.write_angle(i)
      distance = sensor.distance_cm()
      if distance > 1000 :
        distance=0
      print(i,',',distance)
      utime.sleep_ms(60)
    for i in range(max, min, -1):
      my_servo.write_angle(i)
      utime.sleep_ms(60)
      distance = sensor.distance_cm()
      if distance > 1000 :
        distance=0
      print(i,',',distance)

import machine

from hcsr04 import HCSR04

from machine import UART,Pin

from servo import Servo

import utime

# Initialize a UART objects

uart = UART(2, baudrate=115200)

sensor = HCSR04(trigger_pin=22,echo_pin=21,echo_timeout_us=1000000)

servo_pin = machine.Pin(23)

my_servo = Servo(servo_pin)

delay = 0.01

min = 15

max = 165

count = 1

while True:

for i in range(min,max):

my_servo.write_angle(i)

distance = sensor.distance_cm()

if distance > 1000 :

distance=0

print(i,',',distance)

utime.sleep_ms(60)

for i in range(max, min, -1):

my_servo.write_angle(i)

utime.sleep_ms(60)

distance = sensor.distance_cm()

if distance > 1000 :

distance=0

print(i,',',distance)

Python program executed by the computer

# Python + Arduino-based Radar Plotter
#
# ** Works with any motor that outputs angular rotation
# ** and with any distance sensor (HC-SR04, VL53L0x,LIDAR)
#
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
import serial,sys,glob
import serial.tools.list_ports as COMs
#
#
############################################
# Find Arudino ports, select one, then start communication with it
############################################
#
def port_search():
    if sys.platform.startswith('win'): # Windows
        ports = ['COM{0:1.0f}'.format(ii) for ii in range(1,256)]
    elif sys.platform.startswith('linux') or sys.platform.startswith('cygwin'):
        ports = glob.glob('/dev/tty[A-Za-z]*')
    elif sys.platform.startswith('darwin'): # MAC
        ports = glob.glob('/dev/tty.*')
    else:
        raise EnvironmentError('Machine Not pyserial Compatible')

    arduinos = []
    for port in ports: # loop through to determine if accessible
        if len(port.split('Bluetooth'))>1:
            continue
        try:
            ser = serial.Serial(port)
            ser.close()
            arduinos.append(port) # if we can open it, consider it an arduino
        except (OSError, serial.SerialException):
            pass
    return arduinos

arduino_ports = port_search()
#ser = serial.Serial(arduino_ports[0],baudrate=115200) # match baud on Arduino
port1="COM4"
ser = serial.Serial(port1,baudrate=115200)
ser.flush() # clear the port
#
############################################
# Start the interactive plotting tool and
# plot 180 degrees with dummy data to start
############################################
#
fig = plt.figure(facecolor='k')
win = fig.canvas.manager.window # figure window
screen_res = win.wm_maxsize() # used for window formatting later
dpi = 150.0 # figure resolution
fig.set_dpi(dpi) # set figure resolution

# polar plot attributes and initial conditions
ax = fig.add_subplot(111,polar=True,facecolor='#006d70')
ax.set_position([-0.05,-0.05,1.1,1.05])
r_max = 100.0 # can change this based on range of sensor
ax.set_ylim([0.0,r_max]) # range of distances to show
ax.set_xlim([0.0,np.pi]) # limited by the servo span (0-180 deg)
ax.tick_params(axis='both',colors='w')
ax.grid(color='w',alpha=0.5) # grid color
ax.set_rticks(np.linspace(0.0,r_max,5)) # show 5 different distances
ax.set_thetagrids(np.linspace(0.0,180.0,10)) # show 10 angles
angles = np.arange(0,181,1) # 0 - 180 degrees
theta = angles*(np.pi/180.0) # to radians
dists = np.ones((len(angles),)) # dummy distances until real data comes in
pols, = ax.plot([],linestyle='',marker='o',markerfacecolor = 'w',
                 markeredgecolor='#EFEFEF',markeredgewidth=1.0,
                 markersize=10.0,alpha=0.9) # dots for radar points
line1, = ax.plot([],color='w',
                  linewidth=4.0) # sweeping arm plot

# figure presentation adjustments
fig.set_size_inches(0.96*(screen_res[0]/dpi),0.96*(screen_res[1]/dpi))
plot_res = fig.get_window_extent().bounds # window extent for centering
win.wm_geometry('+{0:1.0f}+{1:1.0f}'.\
                format((screen_res[0]/2.0)-(plot_res[2]/2.0),
                       (screen_res[1]/2.0)-(plot_res[3]/2.0))) # centering plot
fig.canvas.toolbar.pack_forget() # remove toolbar for clean presentation
fig.canvas.set_window_title('Arduino Radar')

fig.canvas.draw() # draw before loop
axbackground = fig.canvas.copy_from_bbox(ax.bbox) # background to keep during loop

############################################
# button event to stop program
############################################

def stop_event(event):
    global stop_bool
    stop_bool = 1
prog_stop_ax = fig.add_axes([0.85,0.025,0.125,0.05])
pstop = Button(prog_stop_ax,'Stop Program',color='#FCFCFC',hovercolor='w')
pstop.on_clicked(stop_event)
# button to close window
def close_event(event):
    global stop_bool,close_bool
    if stop_bool:
        plt.close('all')
    stop_bool = 1
    close_bool = 1
close_ax = fig.add_axes([0.025,0.025,0.125,0.05])
close_but = Button(close_ax,'Close Plot',color='#FCFCFC',hovercolor='w')
close_but.on_clicked(close_event)

fig.show()

############################################
# inifinite loop, constantly updating the
# 180deg radar with incoming Arduino data
############################################
#
start_word,stop_bool,close_bool = True,False,False
while True:
    try:
        if stop_bool: # stops program
            fig.canvas.toolbar.pack_configure() # show toolbar
            if close_bool: # closes radar window
                plt.close('all')
            break
        ser_bytes = ser.readline() # read Arduino serial data
        decoded_bytes = ser_bytes.decode('utf-8') # decode data to utf-8
        #data =ser_bytes.decode('utf-8')
        print(decoded_bytes)
        data = (decoded_bytes.replace('\r','')).replace('\n','').replace(' ','')
        #print(data.split(','))
        if start_word:
            vals = [float(ii) for ii in data.split(',')]
            print(vals)
            if len(vals)<2:
                continue
            angle,dist = vals # separate into angle and distance
            if dist>r_max:
                dist = 0.0 # measuring more than r_max, it's likely inaccurate
            dists[int(angle)] = dist
            if angle % 5 ==0: # update every 5 degrees
                pols.set_data(theta,dists)
                fig.canvas.restore_region(axbackground)
                ax.draw_artist(pols)

                line1.set_data(np.repeat((angle*(np.pi/180.0)),2),
                   np.linspace(0.0,r_max,2))
                ax.draw_artist(line1)

                fig.canvas.blit(ax.bbox) # replot only data
                fig.canvas.flush_events() # flush for next plot
        else:
            if data=='Radar Start': # stard word on Arduno
                start_word = True # wait for Arduino to output start word
                print('Radar Starting...')
            else:
                continue

    except KeyboardInterrupt:
        plt.close('all')
        print('Keyboard Interrupt')
        break

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

# Python + Arduino-based Radar Plotter

# ** Works with any motor that outputs angular rotation

# ** and with any distance sensor (HC-SR04, VL53L0x,LIDAR)

import numpy as np

import matplotlib

matplotlib.use('TkAgg')

import matplotlib.pyplot as plt

from matplotlib.widgets import Button

import serial,sys,glob

import serial.tools.list_ports as COMs

############################################

# Find Arudino ports, select one, then start communication with it

############################################

def port_search():

if sys.platform.startswith('win'): # Windows

ports = ['COM{0:1.0f}'.format(ii) for ii in range(1,256)]

elif sys.platform.startswith('linux') or sys.platform.startswith('cygwin'):

ports = glob.glob('/dev/tty[A-Za-z]*')

elif sys.platform.startswith('darwin'): # MAC

ports = glob.glob('/dev/tty.*')

else:

raise EnvironmentError('Machine Not pyserial Compatible')

arduinos = []

for port in ports: # loop through to determine if accessible

if len(port.split('Bluetooth'))>1:

continue

try:

ser = serial.Serial(port)

ser.close()

arduinos.append(port) # if we can open it, consider it an arduino

except (OSError, serial.SerialException):

pass

return arduinos

arduino_ports = port_search()

#ser = serial.Serial(arduino_ports[0],baudrate=115200) # match baud on Arduino

port1="COM4"

ser = serial.Serial(port1,baudrate=115200)

ser.flush() # clear the port

############################################

# Start the interactive plotting tool and

# plot 180 degrees with dummy data to start

############################################

fig = plt.figure(facecolor='k')

win = fig.canvas.manager.window # figure window

screen_res = win.wm_maxsize() # used for window formatting later

dpi = 150.0 # figure resolution

fig.set_dpi(dpi) # set figure resolution

# polar plot attributes and initial conditions

ax = fig.add_subplot(111,polar=True,facecolor='#006d70')

ax.set_position([-0.05,-0.05,1.1,1.05])

r_max = 100.0 # can change this based on range of sensor

ax.set_ylim([0.0,r_max]) # range of distances to show

ax.set_xlim([0.0,np.pi]) # limited by the servo span (0-180 deg)

ax.tick_params(axis='both',colors='w')

ax.grid(color='w',alpha=0.5) # grid color

ax.set_rticks(np.linspace(0.0,r_max,5)) # show 5 different distances

ax.set_thetagrids(np.linspace(0.0,180.0,10)) # show 10 angles

angles = np.arange(0,181,1) # 0 - 180 degrees

theta = angles*(np.pi/180.0) # to radians

dists = np.ones((len(angles),)) # dummy distances until real data comes in

pols, = ax.plot([],linestyle='',marker='o',markerfacecolor = 'w',

markeredgecolor='#EFEFEF',markeredgewidth=1.0,

markersize=10.0,alpha=0.9) # dots for radar points

line1, = ax.plot([],color='w',

linewidth=4.0) # sweeping arm plot

# figure presentation adjustments

fig.set_size_inches(0.96*(screen_res[0]/dpi),0.96*(screen_res[1]/dpi))

plot_res = fig.get_window_extent().bounds # window extent for centering

win.wm_geometry('+{0:1.0f}+{1:1.0f}'.\

format((screen_res[0]/2.0)-(plot_res[2]/2.0),

(screen_res[1]/2.0)-(plot_res[3]/2.0))) # centering plot

fig.canvas.toolbar.pack_forget() # remove toolbar for clean presentation

fig.canvas.set_window_title('Arduino Radar')

fig.canvas.draw() # draw before loop

axbackground = fig.canvas.copy_from_bbox(ax.bbox) # background to keep during loop

############################################

# button event to stop program

############################################

def stop_event(event):

global stop_bool

stop_bool = 1

prog_stop_ax = fig.add_axes([0.85,0.025,0.125,0.05])

pstop = Button(prog_stop_ax,'Stop Program',color='#FCFCFC',hovercolor='w')

pstop.on_clicked(stop_event)

# button to close window

def close_event(event):

global stop_bool,close_bool

if stop_bool:

plt.close('all')

stop_bool = 1

close_bool = 1

close_ax = fig.add_axes([0.025,0.025,0.125,0.05])

close_but = Button(close_ax,'Close Plot',color='#FCFCFC',hovercolor='w')

close_but.on_clicked(close_event)

fig.show()

############################################

# inifinite loop, constantly updating the

# 180deg radar with incoming Arduino data

############################################

start_word,stop_bool,close_bool = True,False,False

while True:

try:

if stop_bool: # stops program

fig.canvas.toolbar.pack_configure() # show toolbar

if close_bool: # closes radar window

plt.close('all')

break

ser_bytes = ser.readline() # read Arduino serial data

decoded_bytes = ser_bytes.decode('utf-8') # decode data to utf-8

#data =ser_bytes.decode('utf-8')

print(decoded_bytes)

data = (decoded_bytes.replace('\r','')).replace('\n','').replace(' ','')

#print(data.split(','))

if start_word:

vals = [float(ii) for ii in data.split(',')]

print(vals)

if len(vals)<2:

continue

angle,dist = vals # separate into angle and distance

if dist>r_max:

dist = 0.0 # measuring more than r_max, it's likely inaccurate

dists[int(angle)] = dist

if angle % 5 ==0: # update every 5 degrees

pols.set_data(theta,dists)

fig.canvas.restore_region(axbackground)

ax.draw_artist(pols)

line1.set_data(np.repeat((angle*(np.pi/180.0)),2),

np.linspace(0.0,r_max,2))

ax.draw_artist(line1)

fig.canvas.blit(ax.bbox) # replot only data

fig.canvas.flush_events() # flush for next plot

else:

if data=='Radar Start': # stard word on Arduno

start_word = True # wait for Arduino to output start word

print('Radar Starting...')

else:

continue

except KeyboardInterrupt:

plt.close('all')

print('Keyboard Interrupt')

break

You can also see

View location data sent by NEO-M6 GPS using ESP32 board

22-02-23

Radar controlled by ESP32

Objective of this project:

Operation of the radar controlled by ESP32:

Components required

Assembly:

Micropython program

Python program executed by the computer

You can also see

View location data sent by NEO-M6 GPS using ESP32 board

Obstacle avoiding robot using Arduino

0 commentaire

Leave a comment

Annuler la réponse

Recent tutorials

Using the OV7670 camera with the Arduino UNO board

Video Streaming Web Server with ESP32-CAM

Connect Arduino UNO to Wifi network using ESP8266 module

View location data sent by NEO-M6 GPS using ESP32 board

Most viewed tutorials

Control a water pump by Arduino

Display text on the I2C LCD 1602A display with Arduino

Control a buzzer by the ESP32 card

Control a DC motor with Micro:bit

Most commented tutorials

Send data (temperature and humidity) to the Thingspeak site with Arduino

Order a car equipped with ESP32-CAM via a wifi connection

Display text on the I2C LCD 1602A display with Arduino

Control a thermal printer with Arduino