Friday 28 July 2023

Intelligent Automotive Vehicle Control System Using CAN Protocol

Intelligent Automotive Vehicle Control System Using CAN Protocol with Arduino uno | Automotive control system using CAN protocol | INTELLIGENT VEHICLE CONTROL SYSTEM | can protocol | automotive projects using can protocol | vehicle speed control system using rf | embedded world | can protocol programming in embedded c | can bus | embedded systems | learn embedded systems | can protocol | embedded world | can protocol based embedded projects pdf | embedded systems explained | can protocol tutorial | automatic vehicle speed control using rf | vehicle speed control using Arduino | can bus system | vehicle safety application using can. *********************************************************** 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 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  https://svsembedded.com/ieee_2022.php 135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php 103 Projects  https://svsembedded.com/ieee_2019.php 61 Projects  https://svsembedded.com/ieee_2018.php 171 Projects  https://svsembedded.com/ieee_2017.php 170 Projects  https://svsembedded.com/ieee_2016.php 67 Projects  https://svsembedded.com/ieee_2015.php 55 Projects  https://svsembedded.com/ieee_2014.php 43 Projects  https://svsembedded.com/ieee_2013.php 1100+ Projects https://www.svskit.com/2022/02/900-pr... *********************************************************** Developing an Intelligent Automotive Vehicle Control System using the Controller Area Network (CAN) protocol and Arduino Uno can be a fascinating project. CAN is a widely used communication protocol in the automotive industry for enabling reliable communication between various electronic control units (ECUs) within a vehicle. Here's an overview of how you can approach building such a system: Materials Needed: 1. Arduino Uno board 2. CAN-BUS Shield (e.g., MCP2515 CAN controller with TJA1050 CAN transceiver) 3. Sensors (e.g., ultrasonic sensors for obstacle detection) 4. Actuators (e.g., motors or servos for vehicle control) 5. Vehicle model (toy car or custom-built platform) 6. Power supply (battery or external power source) 7. Connecting wires Step 1: Set Up CAN Communication 1. Connect the CAN-BUS Shield to the Arduino Uno. 2. Install the necessary library for the MCP2515 CAN controller. You can use libraries like "mcp_can" to facilitate CAN communication. 3. Initialize the CAN controller and set the baud rate according to your vehicle's specifications (usually 500kbps for automotive applications). 4. Implement functions to send and receive CAN messages. Define the message format and structure to exchange data between different ECUs. Step 2: Implement Sensor Integration 1. Connect the sensors (e.g., ultrasonic sensors) to the Arduino Uno. 2. Write code to read data from the sensors. 3. Process the sensor data and convert it into appropriate CAN messages. 4. Send the sensor data as CAN messages to other ECUs or the main vehicle controller. Step 3: Implement Actuator Control 1. Connect the actuators (e.g., motors or servos) to the Arduino Uno. 2. Define the control logic for the actuators based on the received CAN messages. 3. Act on the received messages and control the actuators accordingly. Step 4: Develop Intelligent Control Logic 1. Implement intelligent control algorithms to make decisions based on sensor data and other inputs. 2. Use the data from the sensors to implement features like obstacle detection, collision avoidance, lane-keeping, etc. 3. Combine sensor data with decision-making logic to create an intelligent control system. Step 5: Assemble and Test 1. Assemble all the components on the vehicle model (toy car or custom-built platform). 2. Upload the Arduino code to the Arduino Uno. 3. Power up the system and test the functionality. 4. Debug and refine your code to ensure everything works as intended. Keep in mind that building an intelligent automotive control system requires a good understanding of both hardware and software development.


Meter To MEASURE Short DISTANCE Arduino

 Meter To MEASURE Short DISTANCE Arduino

Meter To MEASURE Short DISTANCE Arduino | laser distance meter | meter | laser meter | distance meter | how does laser distance meter work | meters | dr. meter | laser range meter | meters per second | h6 laser distance meter | laser rangefinder distance meter | digital electronic ruler distance meter | tof10120 water level | how to run faster | shortest distance | kilometer | millimeter | centimeters | millimeters | shortest distance between line and point | transfer multisort elektronik | gps speedometer | arduino | arduino project | arduino projects | arduino tutorial | arduino distance meter | arduino nano | arduino uno | arduino speed meter | meter | distance meter by arduino | distance meter | arduino sensor | ultrasonic distance meter using arduino | distance meter using ultrasonic sensor and arduino | arduino mega | arduino distance sensor | arduino ultrasonic sensor | tof10120 arduino | top arduino project | arduino uno project. *********************************************************** 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 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  https://svsembedded.com/ieee_2022.php 135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php 103 Projects  https://svsembedded.com/ieee_2019.php 61 Projects  https://svsembedded.com/ieee_2018.php 171 Projects  https://svsembedded.com/ieee_2017.php 170 Projects  https://svsembedded.com/ieee_2016.php 67 Projects  https://svsembedded.com/ieee_2015.php 55 Projects  https://svsembedded.com/ieee_2014.php 43 Projects  https://svsembedded.com/ieee_2013.php 1100+ Projects https://www.svskit.com/2022/02/900-projects-ideas_8.html *********************************************************** 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 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  https://svsembedded.com/ieee_2022.php 135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php 103 Projects  https://svsembedded.com/ieee_2019.php 61 Projects  https://svsembedded.com/ieee_2018.php 171 Projects  https://svsembedded.com/ieee_2017.php 170 Projects  https://svsembedded.com/ieee_2016.php 67 Projects  https://svsembedded.com/ieee_2015.php 55 Projects  https://svsembedded.com/ieee_2014.php 43 Projects  https://svsembedded.com/ieee_2013.php 1100+ Projects https://www.svskit.com/2022/02/900-pr... *********************************************************** 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:

  1. Arduino board (e.g., Arduino Uno)
  2. Fingerprint sensor module (e.g., R307 or GT-511C3)
  3. RFID reader module (e.g., RC522)
  4. GSM module (e.g., SIM800L)
  5. LCD display
  6. Buzzer
  7. RFID cards/tags for students
  8. 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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