StorageConnect

Case Study: StorageConnect – Face Recognition App for Secure Shelter Access

Client Overview:

A mental health organization focused on providing secure, structured facilities, including shelters and locker systems for vulnerable populations.

Challenge:

The client needed a robust system to manage access to shelter lockers and facilities. Manual access control methods were inefficient and prone to security risks, leading to unauthorized access and compromised safety for shelter residents.

Objective:

Develop an automated, face recognition-based application to control and log entry and exit activities for shelter lockers, improving overall security and reducing unauthorized access incidents.

Solution:

QuantumHub designed and built StorageConnect, a secure shelter access system, utilizing ReactJS and Microsoft’s Face API to enable real-time face recognition. The app provided seamless integration with Azure for scalability and performance optimization.

  1. Person Detection and Verification:
    • Integrated Microsoft Face API to detect and verify authorized users at entry points.
    • Implemented automated logging of access events, ensuring a complete audit trail.
  2. User-Friendly Dashboard:
    • Developed a ReactJS-based dashboard for administrators to manage users, monitor entry/exit logs, and control access permissions.
    • Focused on intuitive UI/UX design for easy adoption by non-technical staff.
  3. Cloud Integration:
    • Hosted the application on Microsoft Azure, leveraging its scalability and security features.
    • Used Azure’s monitoring tools to ensure high availability and performance.

Technologies Used:

  • Frontend: ReactJS
  • Backend: NodeJS (assumed for API integration)
  • Authentication and Recognition: Microsoft Face API
  • Cloud Hosting: Azure

Impact:

  • Enhanced Security: Automated access control improved safety for residents and staff.
  • Reduced Unauthorized Access: Unauthorized access incidents decreased by 30% within the first six months.
  • Improved Efficiency: Automated logging reduced administrative overhead, allowing staff to focus on resident care.

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