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Smart Passenger Counting System Using Raspberry Pi

The Smart Passenger Counting System Using Raspberry Pi is designed to automatically count the number of passengers entering and exiting a vehicle or room using sensors and camera-based tracking. This system helps in monitoring occupancy levels in real-time for public transport, smart buildings, or event spaces.

Price : 11000

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Course Content

Introduction:

The Smart Passenger Counting System Using Raspberry Pi is an automated solution designed to monitor and count the number of individuals entering or exiting a vehicle, room, or facility. Traditional manual counting methods are prone to human error and inefficiency, especially in crowded environments. By leveraging Raspberry Pi with sensors and camera modules, this system ensures accurate, real-time tracking of passenger flow. It is particularly useful in public transportation, malls, auditoriums, and smart buildings to help manage crowd control, safety, and data analytics.

Working Principle:

The system uses infrared (IR) sensors or camera-based object detection to identify motion and direction of entry or exit. Each time a person passes the detection point, the system increments or decrements the passenger count accordingly. The Raspberry Pi acts as the central controller, processing the sensor or camera data to update and display the count. If cameras are used, image processing and object tracking algorithms (e.g., OpenCV) help in distinguishing individuals.

Methodology:

  1. Setup & Hardware Configuration:

    • Install Raspberry Pi OS on the microSD card.

    • Connect the IR sensors or camera module to the GPIO pins of the Raspberry Pi.

    • Configure necessary libraries for sensor reading or video processing.

  2. Sensor-Based Counting:

    • Place two IR sensors at the entry point: one to detect entry and the other for exit.

    • Use a logic system (like sequence detection) to determine the direction of motion.

  3. Camera-Based Counting (Optional):

    • Use the Raspberry Pi camera with OpenCV.

    • Apply object detection and tracking algorithms to count the number of people crossing a virtual line.

  4. Data Processing:

    • Raspberry Pi processes input from sensors/camera and updates a counter.

    • Display the live passenger count on an attached screen or send data to a remote server.

  5. Real-Time Display & Logging:

    • Display real-time count on an LCD or monitor.

    • Store data locally or upload to a cloud/database for analysis.

Components Used:

Component Description
Raspberry Pi 4 / 3 Acts as the main controller that runs the counting logic and processes sensor or camera data.
IR Sensors (2x) Detects the presence and direction of individuals passing through the entry point.
Raspberry Pi Camera Module (If camera-based counting is used) Captures video frames for image processing and tracking.
MicroSD Card (16GB or more) Stores Raspberry Pi OS, Python scripts, and data logs.
Monitor / LCD Display Displays real-time count to the user.
Power Supply (5V, 2.5A) Provides necessary power to the Raspberry Pi.
Jumper Wires For electrical connections between sensors and Raspberry Pi.

 

Block Diagram

 

IMAGES USED ARE ONLY FOR SAMPLE PURPOSES!!!!!!