Global industries are facing escalating demands for enhanced sensor performance and reliability, driven by the proliferation of smart devices and the need for more accurate data in complex environments. This includes critical sectors like automotive, consumer electronics, and industrial automation, where robust infrared sensing capabilities are paramount for safety, efficiency, and advanced functionality. This technology offers a timely solution to meet these evolving requirements, enabling superior performance in challenging operational conditions.
Achieves over 60% linear transmission across a broad infrared wavelength range (760nm-2000nm), supporting diverse IR sensing applications.
Controls angle dependence, shifting visible light transmission curves to longer wavelengths with increased incidence angle, addressing a key challenge in conventional filters.
Utilizes colloidal amorphous aggregates as fine particles, balancing superior optical properties with manufacturing stability, recognized for its patentability after standard prior art searches.
This patent protects an optical filter comprising colloidal amorphous aggregates within a matrix, its manufacturing method, and optical modules. With 21 claims, it secures a broad scope, having successfully cleared prior art searches and examiner objections, indicating a robust and stable intellectual property.
Adjacent white space exists in integrating this filter with advanced AI-driven image processing algorithms for enhanced data interpretation, or in developing novel sensor architectures that leverage the filter's unique angle-dependent properties for 3D sensing beyond traditional optical modules.
Product lifespan extended by 1.5x, reducing replacement frequency from 2 to 1 time per year. Assuming a replacement cost of $3.3K (AI est.) per event, this yields an annual saving of $3.3K (AI est.) per unit. For 100 units, this could result in $330K/year (AI est.) in savings. Additionally, reducing false positives by 50% from an estimated $65K/year (AI est.) in losses further contributes to the total.
X: Cost Efficiency
Y: Sensing Accuracy & Reliability