Friday 28 July 2023
Intelligent Automotive Vehicle Control System Using CAN Protocol
Meter To MEASURE Short DISTANCE Arduino
Meter To MEASURE Short DISTANCE Arduino
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To measure short distances using an Arduino, you can use a variety of sensors. One popular choice is the ultrasonic distance sensor, which is both affordable and easy to use. The HC-SR04 ultrasonic sensor is a commonly used sensor for this purpose. Here's how you can set it up and use it to measure short distances:
Components needed:
• Arduino board (e.g., Arduino Uno)
• HC-SR04 ultrasonic distance sensor
• Breadboard and jumper wires
Wiring: Connect the components as follows:
• VCC of HC-SR04 to 5V on Arduino
• GND of HC-SR04 to GND on Arduino
• Trig (Trigger) pin of HC-SR04 to any digital pin (e.g., D2) on Arduino
• Echo pin of HC-SR04 to any digital pin (e.g., D3) on Arduino
Arduino Code: Below is a simple Arduino sketch to measure distance using the HC-SR04 sensor.
#define TRIGGER_PIN 2
#define ECHO_PIN 3
void setup() {
Serial.begin(9600);
pinMode(TRIGGER_PIN, OUTPUT);
pinMode(ECHO_PIN, INPUT);
}
void loop() {
// Trigger the ultrasonic sensor by sending a 10 microsecond pulse
digitalWrite(TRIGGER_PIN, LOW);
delayMicroseconds(2);
digitalWrite(TRIGGER_PIN, HIGH);
delayMicroseconds(10);
digitalWrite(TRIGGER_PIN, LOW);
// Measure the time it takes for the echo to return
long duration = pulseIn(ECHO_PIN, HIGH);
// Calculate the distance based on the speed of sound (343.2 m/s)
// Divide by 2 as the sound travels back and forth
float distance = (duration * 0.03432) / 2;
// Print the distance in centimeters and inches
Serial.print("Distance: ");
Serial.print(distance);
Serial.print(" cm - ");
Serial.print(distance * 0.3937);
Serial.println(" inches");
delay(100); // Add a small delay before the next measurement
}
Upload the code to your Arduino using the Arduino IDE or any other compatible software. Testing the setup: Open the Serial Monitor in the Arduino IDE (or any other serial monitor application) to see the measured distances. Hold an object in front of the ultrasonic sensor, and you should see the distance displayed in centimeters and inches. Remember that the HC-SR04 is suitable for measuring short distances up to a few meters accurately. Beyond that, the accuracy might degrade. For longer distances or more precise applications, you might consider using other sensors like infrared distance sensors or laser distance sensors.
Tuesday 25 July 2023
QR code based car parking system using ESP32 CAM with IR sensors
QR code based car parking system using ESP32 CAM with IR sensors | QR Code Car Parking System | implementation of Intelligent Automated Gate System with QR Code | IOT Car Parking System | IoT Based Smart Parking System Using RFID | IoT Based Smart Parking System using Raspberry Pi | Machine Learning and IoT based Real Time Parking System.
***********************************************************
If You Want To Purchase the Full Working Project KIT
Mail Us: svsembedded@gmail.com
Title Name Along With You-Tube Video Link
We are Located at Telangana, Hyderabad, Boduppal.
Project Changes also Made according to Student Requirements
http://svsembedded.com/ https://www.svskits.in/
http://svsembedded.in/ http://www.svskit.com/
M1: +91 9491535690 M2: +91 7842358459
We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier Service
We Will Provide Project Soft Data through Google Drive
1. Project Abstract / Synopsis
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3. Project Sample Report / Documentation
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Creating a QR code-based car parking system using the ESP32-CAM with IR sensors can be a great project. The ESP32-CAM combines the ESP32 microcontroller with a camera module, making it suitable for applications that require both Wi-Fi connectivity and image capturing capabilities. Below is a high-level overview of the components and the steps to build the system:
Components:
1. ESP32-CAM Development Board: ESP32-CAM module with built-in camera and Wi-Fi.
2. QR Code Scanner Module: An external QR code scanner module compatible with ESP32.
3. IR Proximity Sensors (2x): Use two IR proximity sensors for entry and exit points.
4. Servo Motor: Choose a suitable servo motor to control the parking barrier.
5. Power Supply: Provide a stable power supply to the ESP32-CAM and other components.
6. Optional Components: LED indicators, resistors, capacitors, etc., based on specific implementation needs.
Steps to Build:
1. Hardware Setup:
• Connect the VCC and GND pins of the QR code scanner module to a 5V power source.
• Connect the data (UART or GPIO) pins of the QR code scanner to the corresponding pins on the ESP32-CAM.
• Connect the VCC and GND pins of the IR sensors to a 3.3V power source.
• Connect the output pins of the entry and exit IR sensors to separate
GPIO pins on the ESP32-CAM.
• Connect the VCC and GND pins of the servo motor to a 5V power source.
• Connect the signal/control pin of the servo motor to a GPIO pin on the
ESP32-CAM.
• Optionally, connect LED indicators (with current-limiting resistors) to GPIO pins for visual feedback.
2. QR Code Scanning:
• Use the ESP32-CAM to capture an image of the QR code.
• Process the image to extract the QR code data using an image processing library like OpenCV or a QR code library.
• Validate the QR code data to ensure it represents a valid parking reservation.
3. IR Sensor Integration:
• Read the status of the entry and exit IR sensors using GPIO pins of the ESP32-CAM.
• Use the IR sensor data to detect vehicle presence at the entry and exit points.
4. Barrier Control:
• Based on the QR code validation and IR sensor data, control the servo motor to open or close the parking barrier.
• When a valid QR code is scanned and the entry IR sensor detects a vehicle, open the barrier to allow entry.
• Monitor the exit IR sensor to detect a vehicle leaving the parking lot and open the barrier accordingly.
5. Wi-Fi Connectivity:
• Use the ESP32-CAM's Wi-Fi capabilities to communicate with a backend server for QR code validation, reservation data, and parking duration.
6. Image Storage (Optional):
• Optionally, store images of the vehicles entering and exiting the parking lot for security and audit purposes.
7. User Interface (Optional):
• Create a web-based or mobile application to allow users to reserve parking spaces, make payments, and view parking history.
Wednesday 19 July 2023
A Multifactor Student Attendance System Using Fingerprint and RFID With SMS Alert To Parents Mobile
A Multifactor Student Attendance System Using Fingerprint and RFID With SMS Alert To Parents Mobile
A multifactor student attendance system using fingerprint and RFID with SMS alerts to parents' mobile phones can help ensure accurate attendance tracking and provide real-time notifications. Here's a step-by-step guide to implementing such a system:
Components Needed:
- Arduino board (e.g., Arduino Uno)
- Fingerprint sensor module (e.g., R307 or GT-511C3)
- RFID reader module (e.g., RC522)
- GSM module (e.g., SIM800L)
- LCD display
- Buzzer
- RFID cards/tags for students
- Parent mobile numbers database (can be stored in Arduino's memory or external storage)
Step 1: Hardware Setup Connect the Arduino board to the fingerprint sensor, RFID reader, GSM module, LCD display, buzzer, and any other required components. Follow the pinout diagrams and specifications provided by each module's datasheet.
Step 2: Fingerprint Enrollment Implement fingerprint enrollment functionality using the fingerprint sensor module. Each student needs to enroll their fingerprint, associating it with their unique ID or student number. Store the enrolled fingerprints and IDs in the Arduino's memory or external storage.
Step 3: RFID Card Enrollment Enable RFID card enrollment using the RFID reader module. Assign each student an RFID card/tag and associate it with their ID or student number. Store the card/tag IDs and corresponding student IDs in the Arduino's memory or external storage.
Step 4: Attendance Recording Create a routine that captures the fingerprint or RFID card input. When a student places their finger on the sensor or scans their RFID card, compare the captured data with the enrolled fingerprints and card IDs. If a match is found, record the attendance by marking the student as present for the current session.
Step 5: GSM Integration Integrate the GSM module with the Arduino to send SMS alerts to parents' mobile phones. Whenever attendance is recorded, retrieve the parent mobile numbers associated with the student's ID from the database. Send an SMS alert to each parent, notifying them of their child's attendance status.
Step 6: Display and Feedback Use the LCD display to show relevant information, such as attendance status, student information, or error messages. Provide feedback to students through the buzzer, indicating successful attendance or any errors.
Step 7: Testing and Refinement Thoroughly test the system to ensure accurate attendance recording and reliable SMS notifications. Refine the code and hardware as needed to address any issues or improve functionality.
Step 8: Data Management and Security Consider data management and security aspects of the system. Ensure that the student attendance records and parent mobile numbers are stored securely and comply with applicable privacy regulations.
Remember that this is a high-level overview, and you may need to adapt the implementation based on the specific modules, libraries, and databases you use. Refer to the documentation and examples provided with each component and explore relevant Arduino libraries that simplify communication with the modules.
***********************************************************
If
You Want To Purchase the Full Working Project KIT
Mail
Us: svsembedded@gmail.com
Title
Name Along With You-Tube Video Link
We
are Located at Telangana, Hyderabad, Boduppal.
Project
Changes also Made according to Student Requirements
http://svsembedded.com/
è https://www.svskits.in/
http://svsembedded.in/ è http://www.svskit.com/
m1: +91 9491535690 è M2: +91 7842358459
We Will Send Working Model Project KIT through DTDC /
DHL / Blue Dart / First Flight Courier Service
We Will Provide Project Soft Data through Google
Drive
1.
Project Abstract / Synopsis
2.
Project Related Datasheets of Each Component
3.
Project Sample Report / Documentation
4.
Project Kit Circuit / Schematic Diagram
5.
Project Kit Working Software Code
6.
Project Related Software Compilers
7.
Project Related Sample PPT’s
8.
Project Kit Photos
9.
Project Kit Working Video links
Latest Projects with Year Wise YouTube video Links
157 Projects è https://svsembedded.com/ieee_2022.php
135 Projects è https://svsembedded.com/ieee_2021.php
151 Projects è https://svsembedded.com/ieee_2020.php
103 Projects è https://svsembedded.com/ieee_2019.php
61 Projects è https://svsembedded.com/ieee_2018.php
171 Projects è https://svsembedded.com/ieee_2017.php
170 Projects è https://svsembedded.com/ieee_2016.php
67 Projects è https://svsembedded.com/ieee_2015.php
55 Projects è https://svsembedded.com/ieee_2014.php
43 Projects è https://svsembedded.com/ieee_2013.php
1100+ Projects https://www.svskit.com/2022/02/900-projects-ideas_8.html
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