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HVS-2787. Face Mask detection and Temperature (MLX90614) based door open using Raspberry pi
HVS-2787. Face Mask detection and Temperature (MLX90614) based door open using Raspberry pi
HVS-2787. Face Mask detection and Temperature (MLX90614) based door open using Raspberry pi

HVS-2787. Face Mask detection and Temperature (MLX90614) based door open using Raspberry pi

₹14,500.00

The Raspberry Pi Based COVID-19 Safety and Automatic Door Control System is designed to improve safety by checking a person’s body temperature and face mask usage before allowing entry into an indoor area.

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The Raspberry Pi Based COVID-19 Safety and Automatic Door Control System is designed to improve safety by checking a person's body temperature and face mask usage before allowing entry into an indoor area. The system uses a Raspberry Pi 3 as the main controller, an MLX90614 contactless temperature sensor to measure body temperature, and a Pi Camera for mask detection. The system provides a contactless and automatic screening process. When a person approaches the entrance, the MLX90614 measures the body temperature. At the same time, the Pi Camera captures the person's face, and OpenCV-based image processing is used to detect whether a mask is properly worn. If the temperature is within the safe limit and the person is wearing a mask, the Raspberry Pi activates the DC motor to open the door. If the temperature is high or a mask is not detected, the door remains locked and a buzzer provides an alert. An LCD displays the system status, while LEDs indicate the operating condition. The proposed system provides a simple, contactless, and automated safety solution for indoor entrances.           Objectives:  
  • To develop a Raspberry Pi 3 based automatic safety screening system.
  • To measure body temperature using the MLX90614 contactless temperature sensor.
  • To detect face masks using Pi Camera and OpenCV.
  • To automatically control the entrance door using a DC motor.
  • To prevent entry when high temperature or no-mask condition is detected.
  • To provide an audio alert using a buzzer during unsafe conditions.
  • To display temperature and system status on an LCD.
  • To indicate system operation using LEDs.
  • To provide a contactless and automatic safety system for indoor areas.
            The main building blocks of the project are:  
  • Power Supply.
  • Raspberry pi3.
  • Pi camera module.
  • Buzzer.
  • MLX90614.
  • LCD display.
  • DC motor with L293D driver.
  • SD card.
  • LED indicators.
    Software’s used:  
  • Python language.
  • Linux OS.
  • Express SCH for Circuit design.
            Block diagram of the project:                

video:

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