SMART CAR PARKING

The growing demand for parking spaces in urban areas has made it challenging to efficiently manage parking facilities. Traditional parking systems are often inefficient and time-consuming, leading to traffic congestion and wasted time. The advent of the Internet of Things (IoT) and Artificial Intelligence (AI) offers new opportunities to enhance the functionality and efficiency of parking systems.

This project aims to design and implement a Smart Car Parking System using AIoT technologies, incorporating ultrasonic sensors, servo motors, a buzzer, and a display interface. The system will detect available parking spaces, guide the vehicles into those spaces, and alert the users about the parking status in real-time. Additionally, it will automate the opening and closing of parking barriers using servo motors based on space availability, thus reducing human intervention and improving overall efficiency.

By leveraging IoT, real-time communication, and AI algorithms, the project intends to streamline the parking process, reduce congestion, and improve user experience in parking facilities.

1.Main Controller - AIOT V2 (ESP32-S3)

2.Multiple Ultrasonic Sensors (HC-SR04)(6pcs)

3.Ultrasonic Sensor holders (4pcs)

4.Servo motors (2pcs)

5.9v Power Adapter

6.Jumpers cables

7.5mm screws

8.Glue

>>The AIOT V2(ESP32-S3) Maincontroller is available for purchase on both Amazon (https://www.amazon.com/) and our official website (https://aitinkr.com/).

⦁ Gather all components: AITINKR AIOT V2 DEV BOARD, adapter, Ultrasonic and Servo SG90S).

⦁ Ensure you have the circuit diagram and required tools such as a screwdriver, jumper wires, and a soldering kit (if needed).

⦁ Secure each sensor and motor at designated positions on the chassis.

⦁ Use screws, adhesive, or brackets to ensure stable placement.

⦁ Connect the sensors and motors to the AIoT v2 board using jumper wires as per the circuit diagram

⦁ Ensure each connection follows the circuit diagram, maintaining proper pin alignment.

⦁ Attach the adapter to the board’s power input.

1. Open Arduino IDE & Select ESP32 Board

⦁ Board: ESP32S3DEVMODULE

⦁ Port: Select the correct port (Tools > Port)

2. Write or Paste the Code.

⦁ Provide power to the adapter.

⦁ The board will initialize, and sensors and actuators will start functioning.

⦁ Board WIFI Connected to your pc and open APP.LOCAL

⦁ Ensure correct polarity when connecting components.

⦁ Handle the adapter and electrical connections with care.

The Smart Car Parking System was successfully designed, tested, and integrated using the following components:

⦁ Ultrasonic Sensors: These sensors were used to detect the presence of a car in each parking space. The system was able to accurately measure the distance and determine whether a spot was occupied or available.

⦁ Servo Motors: The servo motors controlled the parking barriers. These motors opened or closed based on the availability of a parking space, ensuring that users only entered open spots.

⦁ Buzzer: The buzzer provided audio feedback whenever a car was detected or when a parking spot became available. This feature helped users quickly identify available spots or issues with the system.

⦁ Display: A display was used to provide a visual representation of the available parking spots, along with system messages (e.g., "Parking Full," "Spot Available").

⦁ Parking Space Detection: The ultrasonic sensors performed well in detecting the presence of vehicles with minimal errors, accurately determining whether parking spots were free or occupied.

⦁ Space Allocation: The system successfully allocated available parking spots, and the servo motors operated smoothly to open or close the parking barriers.

⦁ User Alerts: The buzzer and display system provided real-time feedback to users about parking spot availability, making the process more intuitive and responsive.

⦁ System Reliability: The system was tested under different conditions, and it maintained a consistent performance, with accurate parking spot detection and efficient servo control.

Discussion:

⦁ Efficiency: The integration of ultrasonic sensors and AIoT enabled the system to reduce the time spent searching for parking spots. By automating the process, the system contributed to better utilization of parking spaces.

⦁ User Experience: Real-time updates and alerts provided by the display and buzzer enhanced the overall user experience. The system reduced the uncertainty that users often face when searching for parking.

⦁ Scalability: The design of the system allows it to be scaled to larger parking facilities by adding more sensors and servos. With future improvements, the system can be adapted for use in commercial parking lots and multi-story parking garages.

⦁ Limitations: While the system worked efficiently, there were challenges related to sensor accuracy in extreme weather conditions (e.g., heavy rain or fog), which could affect ultrasonic measurements. Additionally, the system could benefit from advanced AI algorithms to optimize parking space allocation based on real-time data.