Real-Time Physical Security System for Logistics Facilities Using Facial Recognition and IoT Integration

The client faces difficulties in ensuring secure, efficient, and rapid access for employees and authorized personnel within their high-value warehouse facilities. Existing manual or outdated systems lack real-time monitoring, accurate identity verification, and quick response capability to prevent unauthorized access and streamline shift changes, thereby risking security breaches and operational bottlenecks.

A mid to large-sized logistics company managing high-value consumer electronics in secure warehouse facilities, seeking advanced security and access control solutions.

• Implement a scalable, real-time facial recognition system integrated with physical access points to verify personnel identities instantly.
• Design and deploy an IoT-enabled hardware infrastructure encompassing edge compute, cameras, barcode scanners, turnstiles, and metal detectors for seamless operation.
• Develop a web-based UI dashboard for security personnel and administrators to monitor access points, review alerts, and control equipment remotely.
• Ensure the system supports high throughput, enabling hundreds of personnel to pass through security lanes swiftly during shift changes without bottlenecks.
• Establish remote management capabilities through cloud infrastructure, allowing quick updates, troubleshooting, and data analysis.
• Achieve deployment readiness within a tight, multi-month timeline with successful validation through live demonstrations and onsite integration.

• Edge compute hardware capable of real-time facial recognition processing with support for masks and variable lighting conditions
• Integration with badge scanning system for additional identity verification
• Control and synchronization of turnstiles, metal detectors, and access doors
• An intuitive web UI for security staff to monitor multiple lanes, respond to incidents, and manage access controls
• Dynamic wiring and mounting schemes for optimal camera vantage points
• End-to-end testing pipeline to validate facial recognition accuracy, speed, and hardware interoperability
• Remote cloud connection for data storage, analytics, reporting, and system management

• Turnstile and metal detector hardware for control signals and feedback
• Badge scanner systems for personnel identification
• Networking infrastructure for real-time data transfer and remote management

• Facial recognition processing latency under 1 second per individual
• System scalability to support multiple lanes and facilities simultaneously
• High availability with 99.9% uptime for live operations
• Secure communication channels for hardware and cloud interactions
• Remote update capabilities and fault diagnostics

The deployment of this integrated real-time security solution is expected to significantly enhance operational efficiency by allowing hundreds of personnel to pass through security lanes smoothly during shift changes, reduce unauthorized access incidents through improved identity verification, and facilitate remote management and rapid troubleshooting. Overall, it aims to strengthen security posture, optimize throughput, and support scalable expansion across multiple facilities.