Abstract:
The Smart Canteen System is an automated entry management solution designed to ensure health and payment compliance in public dining facilities.
By integrating mask detection, temperature screening, and contactless payment verification, this system provides a seamless, touch-free entry experience for users.
A camera connected to a PC is used to detect whether a person is wearing a mask before entering the canteen.
If a mask is detected, a temperature reading is taken using an infrared sensor. In case of abnormal temperature, access is denied, ensuring the safety of other occupants.
For users with normal body temperatures, an RFID system checks if the canteen bill has been paid. If paid, the canteen door opens automatically.
The system uses Arduino to control hardware components, including an LCD for feedback display and a motor driver to operate the door.
This smart system enhances safety and efficiency in public spaces, reducing the risk of disease transmission and streamlining entry processes.
• To Develop an Automated Mask Detection System: Implement a system that uses a PC camera to detect whether individuals are wearing masks before they enter the canteen, reducing the risk of disease transmission.
• To Integrate Temperature Screening: Utilize an MLX90614 infrared sensor to measure the body temperature of individuals entering the canteen and ensure that those with abnormal temperatures are denied entry.
• To Implement Contactless Payment Verification: Integrate an RFID system to verify whether individuals have paid their canteen bills, allowing access only to those with valid payments.
• To Control Canteen Door Access: Use an Arduino-controlled motor driver and DC motor to manage the opening and closing of the canteen door based on the results of the mask detection, temperature screening, and payment verification processes.
• To Provide Real-time Feedback: Use an LCD display to provide real-time feedback to users regarding mask compliance, temperature readings, and payment status, enhancing user interaction and experience.
• Demo Video
• Complete project
• Full project report
• Source code
• Complete project support by online
• Lifetime access
• Execution Guidelines
• Immediate (Download)
Software Requirements:
• Python IDE
• Python Language
• Arduino IDE
• Embedded C&C++
Hardware Requirements:
• PC
• Arduino Uno
• LCD Display
• MLX90614
• RFID Module
• Motor Driver
• DC Motor
• USB Cable
Immediate Download:
1. Synopsis
2. Rough Report
3. Software code
4. Technical support
Hardware Kit Delivery:
1. Hardware kit will deliver 4-10 working days (based on state and city)
2. Packing and shipping changes applicable (based on kit size, state, city)
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