
Explore building a smart car parking prototype by using ESP32 with Arduino IDE, IR sensors, servo motors, and an LCD, sending data to the cloud and dashboards.
Discover the ESP32 board's low-cost, low-power IoT capabilities, including onboard Wi-Fi and Bluetooth, a dual-core CPU, security features, and essential interfaces like I2C, SPI, and UART for rapid prototyping.
Explore Esp32 development board pinout, including vin and 3.3v power, pwm-capable gpio, 8-bit dac on gpio 25/26, adc and touch sensors, itc communication, spi, serial, and wifi and bluetooth interfaces.
Program ESP32 using Arduino IDE, Micropython, or ESP-IDF and explore form factors from development boards to modules, including breadboard setups with onboard antenna and regulators.
Understand infrared radiation (ir) sensors, including active and passive designs with emitters, detectors, trim pots, and op amps, and explore their use in proximity sensing, object detection, and IoT applications.
Learn to read IoT sensor data with Arduino IDE and ESP32, set up serial, use digital read on pin 18, and interpret active low results as object detected or not.
Understand SG90 micro servo motors, their precise positioning via a gearbox, potentiometer, and control circuit, using PWM 1 to 2 ms pulses. Applications include robotics, CNC, and gimbals.
Control a servo motor with an esp32 using the esp32 servo library to handle pwm, attach the servo to pin 18, and rotate between 0 and 90 degrees.
learn to display a hello world message on an lcd using arduino, wire and liquid crystal itc libraries, initialize the lcd, set the cursor, and print on a 16x2 display.
Configure blink cloud for the smart car parking system by creating an esp32 template and four data streams for three slots and total available slots, plus a color-coded web dashboard.
Develop and test the smart car parking system program logic with Arduino, LCD display, ESP32 servos, and Blink Cloud, managing sensors and gate actions.
Connect the ESP32 to parking slot sensors and gate sensors, sharing common VCC and ground, with slots on GPIO 25–27, gates 32–33, LCD on 21–22, and servos on 18–19.
Prototype a smart car parking system using IoT by assembling esp32, IR and air sensors, servo motors, and an LCD on a zero PCB, then test parking slots.
Are you ready to transform the way we manage parking in busy urban environments? The "Smart Car Parking System Using IoT" course is your gateway to mastering the development of innovative parking solutions using cutting-edge IoT technologies. This comprehensive course covers everything you need to know about the ESP32 microcontroller, sensor integration, cloud connectivity, and real-time data monitoring.
You’ll start with the basics, learning to program the ESP32 using the Arduino IDE. You'll then delve into interfacing various components such as IR sensors, servo motors, and LCD displays. The course guides you through integrating these components with the Blynk IoT platform to create interactive web and mobile dashboards. By the end of this course, you will have the skills and knowledge to build a fully functional smart car parking system prototype, capable of addressing parking challenges in any busy urban setting.
This course is designed for anyone interested in creating a smart car parking system using IoT technologies. You’ll learn how to integrate the ESP32 microcontroller with Arduino, use IR sensors, control servo motors, and manage LCD displays. With cloud connectivity through the Blynk IoT platform, you’ll be able to create a real-time parking monitoring system. This DIY smart parking project will guide you through building a smart parking solution from scratch, making it an excellent resource for those interested in ESP32 Arduino projects and Arduino IoT projects. You'll gain practical skills in ESP32 sensor integration and learn to create an interactive Blynk IoT dashboard.
Course Highlights:
Comprehensive Introduction: Get started with an overview of the smart car parking project and the ESP32 microcontroller.
Hands-On Programming: Learn to program the ESP32 using the Arduino IDE, including installing necessary software and libraries.
Sensor Integration: Interface IR sensors to detect parking slot occupancy and control servo motors for gate automation.
Display Management: Connect and manage an I2C LCD display to show parking slot status and availability.
Cloud Connectivity: Integrate with the Blynk IoT platform to send sensor data to the cloud and create interactive web and mobile dashboards.
Project Development: Understand the complete programming logic and circuit diagram for the smart car parking system.
Real-Time Implementation: Follow a step-by-step guide to build and demonstrate a real-time smart car parking prototype.
Complete Resources: Access a full list of components, source code, and additional materials to support your learning and project development.
Join us in this exciting course to revolutionize parking systems with IoT. Enroll now and start building your smart car parking solution today!