HANWHA TECHWIN CO., LTD.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Mechanisms and control systems for precise movement of optical lens elements, often for autofocus, zoom, or image stabilization, utilizing various driving principles (e.g., piezoelectric) and low-friction components.

Mechanical structures and devices designed to support, stabilize, or mount cameras and related photographic equipment, often featuring quick-release mechanisms, damping, or adjustable components.

Camera assemblies specifically designed for integration into vehicles, addressing challenges like mounting, field of view coverage, environmental robustness, and specialized imaging (e.g., near-infrared) for autonomous driving or safety.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.

Methods and systems for efficiently distributing and delivering media content, including techniques for multi-source streaming, content caching, and optimizing delivery based on network conditions or device capabilities.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Methods and systems for monitoring, controlling, and managing Internet of Things (IoT) devices and their communication networks, often involving adaptive or intelligent frameworks for data acquisition, relay, and automation.

Techniques for improving the performance, efficiency, or practicality of fully homomorphic encryption (FHE) schemes, often involving hardware accelerators or optimized algorithms for operations like bootstrapping and key-switching.

Systems and methods for establishing, maintaining, modifying, and terminating communication sessions across various network architectures, including service discovery, resource allocation, and resilience mechanisms.

Systems and methods for processing, prioritizing, and presenting multiple alarms, including features like temporary pausing, customized display, and intelligent decision-making for alert delivery based on context or user profiles.