Colour Recognition Based Wireless Object Tracking🤖Robot Using Raspberry ...

Ball Tracking with OpenCV | red - green - blue - yellow - Colour Recognition Based Wireless Object Tracking🤖Robot Using Raspberry Pi Pico with OpenCV & Python | Object tracking in Python using openCV | Color recognition with Opencv and Python | Ball Tracking with OpenCV | Object Tracking Based on Color Recognition with OpenCV and Python | Wireless Robot Control Using Raspberry Pi Pico. *********************************************************** 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 color recognition-based object tracking wireless robot control system using a Raspberry Pi Pico, OpenCV, and Python involves several steps. This project will allow the robot to detect and track objects of a specific color and then control its movement wirelessly. Here's a basic outline of the process: Hardware Required: 1. Raspberry Pi Pico RP2040 ARM CORETEX M0+ 2. Robot chassis with motors and wheels 3. Motor driver board (e.g., L298N or L293D) 4. Webcam or camera module compatible with Raspberry Pi Pico 5. Power source (batteries or power supply) Software Required: 1. Thonny IDE (Python IDE for Raspberry Pi) 2. Python libraries: OpenCV and PiGPIO (for motor control) Steps: 1. Set Up Raspberry Pi Pico: • Connect the motor driver to the Raspberry Pi Pico's GPIO pins. • Connect the motors to the motor driver. 2. Install Required Libraries: • Install OpenCV and PiGPIO libraries on your Raspberry Pi Pico using Thonny IDE. 3. Capture and Process Video: • Use the Raspberry Pi Pico's camera module or a USB webcam to capture video frames. • Process the frames using OpenCV to identify objects of the desired color using color thresholding techniques. 4. Object Tracking: • Implement object tracking algorithms (e.g., color-based tracking) to continuously locate the target object within the video frames. 5. Wireless Control: • Set up a wireless communication protocol between your control device (e.g., smartphone or computer) and the Raspberry Pi Pico. You can use technologies like Bluetooth or Wi-Fi for this purpose. 6. Control Logic: • Create a control logic that receives instructions wirelessly and controls the robot's movement based on the tracked object's position. • Convert the object's position within the frame to motor control signals. For example, if the object is on the left side of the frame, increase the left motor speed, and if it's on the right, increase the right motor speed. 7. Motor Control: • Use the PiGPIO library to control the motors' speed and direction through the motor driver board. • Adjust motor speeds based on the control logic's instructions to navigate the robot toward the tracked object. 8. Execution: • Run the Python script on the Raspberry Pi Pico to start the color recognition-based object tracking and wireless control process. • Use your control device to wirelessly send commands to the robot and observe its movement. 9. Testing and Optimization: • Test the system and make necessary adjustments to the color recognition and tracking algorithms for better accuracy and responsiveness. • Optimize the motor control logic for smoother and more accurate movement. you will need to dive deeper into each step, referring to documentation and tutorials for each specific component and library. Additionally, ensure safety precautions while working with the hardware components, especially the motors and power supply.

IoT Home Automation - DHT11(T/H) - Air Quality Monitoring ESP32 & Blynk ...

IoT Home Automation | Temperature, Humidity & Air Quality Monitoring using ESP32 & Blynk 2.0 | IoT Home Automation - DHT11(T/H) - Air Quality Monitoring ESP32 & Blynk App Notification📱Email Alert | How to Monitor Air Quality | Air Quality Monitoring System | ESP8266 | Blynk IOT Projects | Control System using ESP32 & Blynk 2.0 | Home Automation using ESP32 & Blynk 2.0 - IoT Projects Ideas | IoT based Air quality Monitoring system | Air pollution monitoring using MQ135 & ESP32 | IoT | esp32 | Home Automation using ESP32 & Blynk 2.0 - IoT Projects Ideas | Temperature, Humidity & Air Quality Monitoring. *********************************************************** 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... *********************************************************** It looks like you're interested in setting up an IoT home automation system using the DHT11 sensor to monitor temperature and humidity, an ESP32 microcontroller, and the Blynk app for notifications and email alerts. This is a great project idea! Here's a step-by-step guide to help you get started: Components Needed: 1. ESP32 development board. 2. DHT11 sensor (for temperature and humidity measurement). 3. Breadboard and jumper wires. 4. USB cable for power and programming. 5. Blynk app (downloadable from app stores). Steps: 1. Set Up the Hardware: • Connect the DHT11 sensor to the ESP32 using jumper wires. • Connect the VCC pin of the DHT11 to the 3.3V pin on the ESP32. • Connect the GND pin of the DHT11 to the GND pin on the ESP32. • Connect the DATA pin of the DHT11 to a GPIO pin on the ESP32 (e.g., GPIO 2). 2. Install Arduino IDE and ESP32 Board Support: • Download and install the Arduino IDE from the official website. • Open the Arduino IDE and go to "File" "Preferences". • Add the following URL to the "Additional Boards Manager URLs": https://dl.espressif.com/dl/package_e... • Go to "Tools" "Board" "Boards Manager", search for "esp32", and install the ESP32 board support. 3. Install Required Libraries: • In the Arduino IDE, go to "Sketch" "Include Library" "Manage Libraries". • Search and install the following libraries: • "DHT sensor library" by Adafruit. • "Blynk" by Blynk Inc. 4. Create a Blynk Account and Get Auth Token: • Download the Blynk app on your smartphone and create an account. • Create a new Blynk project and obtain the authentication token from the email sent to you. 6. Air Quality Monitoring: • You can add an additional sensor (e.g., MQ-135) to measure air quality. Connect it to the ESP32 and update the code accordingly. 7. Email Alert Configuration: • Blynk provides an email notification widget that you can add to your project. • Configure the widget to send an email when a specific condition (e.g., high temperature or humidity) is met. 8. Upload the Code: • Connect your ESP32 to your computer via USB. • Select the correct board and port in the Arduino IDE. • Click the "Upload" button to upload the code to your ESP32. 9. Monitor the Data: • Open the Serial Monitor in the Arduino IDE to view the data being read from the DHT11 sensor. 10. Monitor Data on Blynk App: • Open your Blynk app and check if the temperature and humidity values are being updated on the Value Display widgets. • Set up email alerts based on your chosen conditions.

GPS Clock Using Raspberry Pi Pico (RP2040) Arm Cortex-M0+ & LCD Display

GPS Clock Using Raspberry Pi Pico (RP2040) Arm Cortex-M0+ & LCD Display | Make a GPS Clock With Arduino - Projects | Arduino GPS Clock | raspberry pi | raspberry pi pico | raspberry pi real time clock | raspberry pi pico w | raspberry | raspberry pi pico gps | raspberry pi pico oled | raspberry pi pico gps tracker | raspberry pi 4 | raspberry pico | real time clock raspberry pi pico | raspberry pi pico real time clock | real time clock | raspberry pi pico nmea | real time clock raspberry pi | raspberry pi pico thonny | thonny raspberry pi pico | raspberry pi microcontroller | raspberry pi pico tutorial | raspberry pi zero. *********************************************************** 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 GPS clock using a Raspberry Pi Pico (RP2040) with an Arm Cortex-M0+ processor and an LCD display is a fun and educational project. In this project, we will use the Pico's GPIO pins to communicate with a GPS module and an LCD display. The GPS module will provide the time and date information, and the LCD will display the clock. Here's a step-by-step guide to building the GPS clock: Components Required: 1. Raspberry Pi Pico (RP2040) 2. GPS module (e.g., NEO-6M or similar) 3. LCD display (e.g., 16x2 or 20x4) 4. Breadboard and jumper wires 5. Power supply for the Raspberry Pi Pico Step 1: Setting up the Hardware 1. Connect the GPS module to the Raspberry Pi Pico using jumper wires. Typically, the GPS module communicates over UART, so connect the TX pin of the GPS module to the RX pin (GPIO1) of the Pico and vice versa. Also, connect the GND and VCC (usually 3.3V) pins between the devices. 2. Connect the LCD display to the Raspberry Pi Pico using jumper wires. You will need at least six GPIO pins to control the LCD: RS, E, D4, D5, D6, and D7. Step 2: Setting up the Software 1. Install the latest version of Circuit Python on the Raspberry Pi Pico. You can find instructions on how to do this on the official Raspberry Pi Pico website. 2. Once Circuit Python is installed, you will see the Pico as a USB drive when connected to your computer. Create a new Python file (e.g., gps_clock.py) on the Pico and edit it using a text editor. 3. Install the necessary libraries for the GPS module and the LCD display. You can use the Adafruit Circuit Python GPS library for the GPS module and the Adafruit Circuit Python Char LCD library for the LCD display. Download the libraries and copy them to the lib folder on your Pico. Step 3: Writing the Code Now, let's write the Python code for the GPS clock. The code will read the time information from the GPS module and display it on the LCD. Step 4: Running the GPS Clock 1. Save the Python code on the Raspberry Pi Pico as gps_clock.py. 2. Safely eject the Pico from your computer and connect it to a power supply. 3. The GPS clock should now be up and running. The LCD will display the current time and date as received from the GPS module. Please note that the GPS module requires a clear view of the sky to get a fix on the GPS satellites. It may take a few minutes for the module to acquire its first fix. Once it has a fix, it should update the time and date regularly. Always ensure that you have a stable power supply for the Raspberry Pi Pico and any connected components to avoid unexpected behaviour or damage to the devices.

Vehicle Security System using Embedded and GSM Technology

Vehicle Security System using Embedded and GSM Technology | MICROCONTROLLER BASED VEHICLE ANTI-THEFT AND SECURITY SYSTEM | vehicle security system using 8051 microcontroller | vehicle tracking system using gps and arduino | using | vehicle | system | vehicle security system using arduino and sensors | accident detection and alert system using arduino | gsm based vehicle security system | gps based vehicle tracking system using arduino | vehicle security system using gsm | advance vehicle security system using arduino | vehicle security system using raspberry pi | security system using gps and gsm. *********************************************************** 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 Vehicle Security System using Embedded and GSM Technology with the 8051 microcontroller requires careful planning and understanding of both hardware and software aspects. Here's a basic outline of how you can approach building such a system using the 8051 microcontroller: 1. Hardware Components: • 8051 Microcontroller: Choose a suitable 8051 microcontroller variant that meets your project requirements. • GSM Module: Select a GSM module that is compatible with the 8051 microcontroller and supports the necessary communication protocols (e.g., AT commands). • GPS Module (optional): If you want real-time location tracking, integrate a GPS module that communicates with the microcontroller via UART. • Sensors: Include various sensors like motion sensors, door sensors, shock sensors, and tilt sensors to detect unauthorized access or movement of the vehicle. • Alarm: Use a buzzer or a loudspeaker to create an audible alarm when suspicious activity is detected. • Relays or Solenoids: Use relays or solenoids to control vehicle functions remotely, such as locking/unlocking doors or disabling the engine. 2. Embedded Software: • Develop the firmware for the 8051 microcontroller using a suitable programming language like C or assembly language. • Implement the logic to read data from the sensors and process the information to detect potential security breaches. • Use UART communication to interact with the GSM module and send/receive SMS messages to control the system remotely. 3. System Functionality: • Vehicle Lock/Unlock: Enable the owner to lock or unlock the vehicle doors remotely using SMS commands. • Alarm Trigger: When the sensors detect suspicious activity, trigger the alarm to alert nearby people. • Location Tracking: If a GPS module is used, obtain real-time location data and send it to the owner's mobile phone upon request. • Remote Immobilization: Allow the owner to send a specific SMS command to disable the vehicle's ignition remotely. 4. GSM Communication: • Configure the GSM module to operate in SMS mode. • Implement a parser to interpret incoming SMS commands and execute the corresponding actions. 5. Power Supply: • Ensure that the system has a reliable power supply to operate continuously. Consider using a combination of the vehicle's power and a backup battery system. 6. Mobile App/Interface: • Develop a mobile app (Android or iOS) or use a web-based interface to interact with the system through SMS commands. Remember that the 8051 microcontroller has limited processing power and memory compared to more modern microcontrollers, so you may need to optimize your code and make efficient use of available resources.

8051 Based Vehicle🚗Accident Detection System Using GSM and GPS

8051 Based Vehicle🚗Accident Detection System Using GSM and GPS | accident detection and alert system using arduino | accident detection and alert system | arduino based vehicle accident alert system using gps | vehicle accident detection system using gsm and gps | iot based vehicle tracking and accident detection system pdf | detection | vehicle accident detection using gsm and gps | accident detection and messaging system using gsm and gps | iot based accident detection 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... *********************************************************** Designing a vehicle accident detection system using the 8051 microcontroller, GSM, and GPS can be a challenging but rewarding project. The system aims to detect accidents and send out notifications with location details to a predefined phone number. Below is a high-level overview of the system: Components required: 1. 8051 microcontroller (for this example, we'll assume you're using the AT89S52) 2. GSM module (SIM800 or similar) 3. GPS module (NEO-6M or similar) 4. Impact sensor (such as an accelerometer) 5. Power supply 6. LCD display (optional) System Overview: 1. Accident Detection: The heart of the system is the impact sensor, which detects sudden changes in acceleration (indicative of an accident). When an accident is detected, the impact sensor will send an interrupt signal to the microcontroller. 2. GPS Location Retrieval: The GPS module is connected to the microcontroller and provides real-time location data (latitude and longitude) when queried. 3. GSM Communication: The GSM module is interfaced with the microcontroller to send SMS messages. It is responsible for transmitting the accident notification along with the GPS location to a predefined phone number. 4. LCD Display (Optional): If you want a local display in the vehicle, you can add an LCD module to show relevant information like "Accident Detected" and the GPS coordinates. System Flow: 1. The 8051 microcontroller continuously monitors the impact sensor for any sudden changes in acceleration. 2. If a significant impact is detected, the microcontroller triggers an interrupt to initiate accident handling. 3. Upon interrupt, the microcontroller will communicate with the GPS module to retrieve the current latitude and longitude information. 4. The microcontroller then sends this location information along with an accident notification message via the GSM module to the preconfigured phone number. Implementation: 1. Connect the GSM module to the 8051 microcontroller using UART communication. 2. Connect the GPS module to the microcontroller using UART communication as well. 3. Connect the impact sensor (accelerometer) to one of the microcontroller's digital pins, configured as an external interrupt source. 4. Write the embedded C code for the microcontroller to handle the interrupt, communicate with the GPS module, and send SMS via the GSM module. 5. Optionally, add code for an LCD module to display relevant information. Note: Be sure to check the datasheets and documentation of the components you are using, as the communication protocols and pin configurations may vary. Remember that this is just a basic overview, and there are additional considerations like power management, error handling, and user interface design that should be taken into account during a real-world implementation.