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ANPR Access Control PCB with IR Sensors

To control multiple RGB LEDs using fewer GPIO pins via a multiplexer (MUX), often for visual indication, lighting, or status feedback in IoT systems

ANPR Access Control PCB with IR Sensors
 
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Tools, APP Software Used etc.

  • Easyeda pro

Story

ANPR Access Control PCB with IR Sensors

1. Define Objective

  • Design a custom PCB for an ANPR vehicle access system.

  • Interface with Raspberry Pi 4 to control:

    • Traffic lights

    • Buzzer

    • Gate motor

    • RFID module

    • IR sensors for vehicle detection


2. Select Components

  • Headers (1x2, 1x4, 1x15, 3x1) – for modular connections

  • 5.5mm DC Jack – 12V power input

  • 1kΩ Resistors – for MOSFET gate pull-down

  • IRLZ44N MOSFET + Heatsink – for switching loads

  • Molex 48393-0003 Connector – secure 3-pin connections

  • IR Sensors – for detecting vehicle presence

  • Raspberry Pi 4 – main controller via GPIO


3. Design the PCB

  • Route 12V input and distribute power

  • Add headers for all peripherals (RFID, buzzer, lights, gate, IR sensors)

  • Connect MOSFETs to control high-current devices

  • Add GPIO header (1x15) for Raspberry Pi


4. Interface Raspberry Pi

  • Use GPIOs to:

    • Read IR sensor signals

    • Read RFID tag

    • Control gate, buzzer, and traffic light

  • Process ANPR camera feed over LAN


5. Manage Power

  • Input: 12V via DC jack

  • Output:

    • 12V for motors/lights

    • Optional 5V for logic-level devices (e.g., RFID, IR sensors)


6. Test System

  • Check individual components (IR, RFID, MOSFET switching)

  • Run Raspberry Pi code for full system logic

  • Validate vehicle detection, authentication, and gate control


7. Deploy System

 

  • Mount PCB and components securely

  • Connect to gate hardware and ANPR camera

  • Run live Python-based control from Raspberry Pi

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ANPR Access Control PCB with IR Sensors

To control multiple RGB LEDs using fewer GPIO pins via a multiplexer (MUX), often for visual indication, lighting, or status feedback in IoT systems

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