Industries worldwide are facing increasing pressure to enhance operational efficiency, improve safety, and enable new forms of human-machine interaction. This drives a critical need for advanced imaging solutions that can deliver high-fidelity data without compromise. The rise of AI-powered analytics, autonomous systems, and extended reality (XR) applications further amplifies the demand for real-time, low-latency, and energy-efficient vision systems, making this technology a timely solution for global market leaders.
Provides Real-time High-Definition Display: Simultaneous display of captured images and viewfinder images ensures zero temporal lag for real-time verification of high-definition color information.
Achieves Low Power Consumption and Compact Size: Efficiently utilizes invisible light and a stacked image sensor structure to achieve over 30% lower power consumption and superior portability compared to conventional systems.
Enhances Application Versatility with Invisible Light: Proprietary technology photoelectrically converts RGB invisible light, enabling acquisition of color image information not obtainable with visible light alone.
This patent protects a color image capturing device that integrates a stacked image sensor for photoelectrically converting RGB invisible light while transmitting visible light, enabling real-time, low-power, high-definition imaging. The patent's claims, developed with strong legal representation and overcoming six prior art references, indicate a robust and stable right, offering long-term competitive differentiation.
This patent primarily covers the stacked image sensor and real-time processing for visible/invisible light. Adjacent white space exists in advanced AI-driven image analysis algorithms or integration with novel display technologies not explicitly claimed.
Implementing this technology into existing surveillance and inspection camera systems could reduce annual electricity costs by ~$35K (AI est.) due to its low-power design. Furthermore, zero-delay real-time performance could improve detection accuracy by 20%, leading to an estimated ~$65K (AI est.) annual reduction in labor costs for operational monitoring. This represents an estimated ~15% reduction in total system operating expenses.
X: Real-time Performance & Low Latency
Y: Versatility & Broad Application Scope