Ai-powered Smart Locker System With Face Detection Using Ras

About the project

The system uses Raspberry Pi, face detection technology, and intelligent authentication mechanisms to allow authorized users to unlock lockers without traditional keys or access cards.

Project info

Difficulty: Expert

Platforms: Raspberry Pi

Estimated time: 5 hours

License: MIT license (MIT)

Items used in this project

Hardware components

Raspberry Pi Camera Module Raspberry Pi Camera Module x 1
Raspberry Pi 3 Model B Raspberry Pi 3 Model B x 1
Si-gl42 Series Safety Interlock Switch; Spring Lock/solenoid Unlock; 24 V Dc; Contact Configuration: Actuator: 1 No, Monitor: 2nc; Connector: 1 X 5-pin M12 Bottom, 1 X 5-pin M12 Side Si-gl42 Series Safety Interlock Switch; Spring Lock/solenoid Unlock; 24 V Dc; Contact Configuration: Actuator: 1 No, Monitor: 2nc; Connector: 1 X 5-pin M12 Bottom, 1 X 5-pin M12 Side x 1
16a Relay Module 16a Relay Module x 1
Grove - Oled Display 1.12'' V2 Grove - Oled Display 1.12'' V2 x 1
Power Supply Unit - Quint4-ps1ac110dc4 Power Supply Unit - Quint4-ps1ac110dc4 x 1
K100 Pro Io-link Status Display Indicator With Audible; Status Display With Io-link; 8 X 77 Pixels; White Display Leds; Rgb Indicator; Audible; 18-30 V Dc; Polycarbonate; Ip66, Ip69k; Multicolor; 4-pin M12 Integral Qd K100 Pro Io-link Status Display Indicator With Audible; Status Display With Io-link; 8 X 77 Pixels; White Display Leds; Rgb Indicator; Audible; 18-30 V Dc; Polycarbonate; Ip66, Ip69k; Multicolor; 4-pin M12 Integral Qd x 1
Redbot Buzzer Buzzer Redbot Buzzer Buzzer x 1
Rs9116 N-link And Wiseconnect Wi-fi And Dual-mode Bluetooth 5 Wireless Connectivity Cc1 Module Rs9116 N-link And Wiseconnect Wi-fi And Dual-mode Bluetooth 5 Wireless Connectivity Cc1 Module x 1

View all

Software apps and online services

Python programming Python programming
OpenCV OpenCV
Raspberry Pi OS Raspberry Pi OS
AI-Based Image Processing AI-Based Image Processing
Database for User Management Database for User Management
Secure Authentication Logic Secure Authentication Logic

Story

Overview


This case study presents an AI-powered smart locker system designed to improve security, access control, and user convenience. The system uses Raspberry Pi, face detection technology, and intelligent authentication mechanisms to allow authorized users to unlock lockers without traditional keys or access cards.

The solution is ideal for offices, educational institutions, warehouses, gyms, smart residential complexes, and secure storage environments where reliable and contactless access control is required. But if we see a traditional locker system, those systems are not fully safe. Those systems automatically cracked after some time. This modern smart locker system with face detection using raspberry pi, raspberry pi works as the brain of this system. This system is able to manage our security with face detection and password management.

Project Objectives

  • Eliminate traditional keys and PIN-based access systems

  • Provide secure face-based authentication

  • Enable real-time user verification

  • Reduce unauthorized access attempts

  • Improve locker management efficiency

  • Create a scalable smart storage solution


    How the System Works


  • A user approaches the smart locker.

  • The camera captures the user's facial image.

  • The AI-powered face detection system analyzes the captured image.

  • The face is matched against authorized user records.

  • If authentication is successful, the locker unlocks automatically.

  • If the face is not recognized, access is denied and the event can be logged for security purposes.

  • Administrators can manage users and monitor access records through the system dashboard.

    Key Features

    • AI-Based Face Recognition

    • Contactless Locker Access

    • Fast Authentication Process

    • Real-Time User Verification

    • Access Event Logging

    • Secure Electronic Lock Control

    • Scalable Multi-Locker Support

    • Low Power Consumption

    • Remote Monitoring Capabilities

    • Easy User Enrollment

    Benefits
    • Enhanced Security

    • Improved User Experience

    • Reduced Operational Costs

    • Elimination of Lost Keys

    • Faster Access Management

    • Better Audit and Tracking

    • Suitable for Smart Infrastructure Projects

    Applications
    • Smart Offices

    • Educational Institutions

    • Industrial Facilities

    • Warehouses

    • Hospitals

    • Fitness Centers

    • Residential Communities

    • Public Storage Systems

    Development Support


    Organizations looking to build intelligent embedded systems and AI-powered automation projects can hire raspberry pi developer services to accelerate development, hardware integration, and deployment of custom smart solutions.

    Conclusion

    The AI-Powered Smart Locker System with Face Detection demonstrates how Raspberry Pi and artificial intelligence can be combined to create a secure, efficient, and user-friendly access control solution. By leveraging facial recognition technology, the system enhances security while providing a seamless and modern locker management experience for various industries. This system is easy to use and set up. This system is able to face detection and managing passwords. This system is used for security of various things like rooms, lockers etc.






Schematics, diagrams and documents

Credits

Photo of chanchaldada

chanchaldada

Chanchal Dada is an IoT developer at DigitalMonk, focused on building smart embedded systems using Arduino and ESP32. She specializes in IoT-based automation, smart monitoring solutions, and real-world hardware-software integration for practical applications.

   

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