Company patents
Glenfly Tech Co., Ltd.
Glenfly Tech Co., Ltd. demonstrates a surprising shift in its patent strategy, with a strong emerging focus on Display Drivers, which saw a remarkable +400.0% YoY growth in 2024 and another +50.0% so far in 2026, now constituting 21.6% of its portfolio. While Image Processing remains its largest category at 24.3%, the significant and consistent growth in Display Drivers and Operating Systems & Program Control (+66.7% so far in 2026) suggests a strategic pivot towards core display and system management technologies.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
74 US filings (since 2023) · 10 categories · 13 themes
Algorithms and hardware implementations within display drivers or associated components to enhance visual quality, resolution, or color reproduction, including upscaling, dithering, and compensation for display artifacts like crosstalk.
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.
Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.
Techniques and circuits for optimizing power consumption, voltage stability, and energy efficiency in display panels, often involving dynamic voltage scaling, duty cycle control, or remnant voltage management.
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.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.
Methods and circuits for coordinating the timing of display signals, data transmission, and control signals across various display components, ensuring proper image rendering and efficient operation.
Design and implementation of circuits and layouts for driving individual pixels or rows/columns of pixels, including gate drivers, data drivers, pixel driving circuits, and their integration onto the display substrate, often in non-display regions.
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.
Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.
Patents
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Digital Twin & System Simulation