AI-Driven Mass Screening System for Public Safety and Operational Continuity

The client faces challenges in rapidly and accurately screening large volumes of individuals for safety indicators such as elevated temperature, while minimizing exposure risk, reducing boarding and throughput delays, and ensuring compliance with health guidelines. Manual screening methods are inefficient, pose health risks, and may lead to inaccurate measurements due to external factors and occlusions like masks or headwear, jeopardizing operational safety and increasing potential disease spread.

A large-scale transportation operator managing a fleet of ships, airports, or transit hubs requiring efficient safety screening solutions to ensure passenger and staff safety while maintaining high-throughput operations.

• Implement an automated thermal screening system capable of processing up to 1,080 individuals per hour at multiple high-traffic checkpoints.
• Achieve at least 95% accuracy in face recognition for individuals wearing masks or accessories, to ensure correct identification and contact tracing.
• Enable detection of external temperature sources to improve measurement reliability.
• Facilitate route and contact tracing through interconnected camera systems and data logs.
• Deploy an integrated dashboard and mobile app to provide real-time alerts and detailed reporting on safety compliance metrics, such as mask usage and social distancing violations.
• Ensure rapid deployment of the system within weeks to support immediate operational resumption and safety enhancement.

• Thermal cameras capable of simultaneously measuring temperatures of up to 30 individuals at a distance of 3 meters.
• AI-driven face recognition models trained to identify individuals accurately even when faces are masked or occluded, with a minimum accuracy threshold of 95%.
• Detection and filtering of external temperature sources to prevent false readings.
• Interconnected camera network allowing route reconstruction and contact tracing for potentially infected individuals.
• Web-based dashboard providing detailed screening reports, compliance metrics, and real-time alerts.
• Mobile application for notifications related to safety violations, such as mask non-compliance or social distancing breaches.

• Thermal camera data feeds into central processing units
• Face recognition models integrated with camera systems
• Data logging and route tracing modules for contact tracing
• Alert notification systems linked to mobile and web interfaces

• System capable of processing at least 1,080 individuals per hour at high accuracy
• Minimal latency for real-time detection and alerts
• High reliability with 99.9% system uptime
• Secure data handling complying with privacy standards, ensuring sensitive biometric and health data protection
• Scalable architecture for potential expansion to additional checkpoints or facilities

The deployment of the AI-driven mass screening system is expected to enable rapid and reliable health safety assessments, supporting the client in re-establishing high-volume operational capacity while minimizing infection risks. It aims to screen up to 1,080 individuals hourly, achieve 95% accuracy in face recognition under mask conditions, facilitate contact tracing, and enforce safety compliance, thereby significantly reducing the risk of disease transmission and associated operational losses.