Post-pandemic, global demand for robust public health infrastructure and resilient operational environments has surged. Businesses and institutions face increasing pressure to ensure employee and customer safety, optimize indoor air quality, and prevent costly outbreaks. This technology addresses these needs by providing real-time, data-driven insights into airborne pathogen spread, enabling proactive measures and compliance with evolving health standards.
Detects virus-laden aerosols in real-time using 3-5μm infrared light, visualizing infection risk areas for rapid response planning.
Measures wide-range dispersion with high precision using non-contact infrared imaging optics and image sensors, significantly enhancing on-site safety and measurement efficiency.
Facilitates easy integration into diverse existing environments, from healthcare facilities to offices, due to its portable and simple installation design.
This patent protects a broad scope of technology with 22 claims, making it robust against circumvention by competitors. It successfully differentiated itself from five prior art documents during examination, confirming its novelty and validity. This strong IP foundation could powerfully protect a licensee's business operations.
This patent primarily covers infrared detection and visualization. White space exists in integrating this data with automated HVAC systems for dynamic air flow control or developing AI-driven predictive analytics for outbreak forecasting.
Assuming a 5% reduction in employee absenteeism due to infectious diseases. For a company with 1,000 employees, this could save ~$100K/year (AI est.) in lost labor costs (5% × 1,000 employees × ~$1,667/person (AI est.)). Combined with ~$100K/year (AI est.) in disinfection, cleaning, and business interruption costs, the total economic benefit could exceed ~$150K/year (AI est.). This calculation includes the effect of cluster suppression through early detection.
X: Real-time Visualization Accuracy
Y: Infection Risk Reduction Effect