Company patents
PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
PING AN TECHNOLOGY (SHENZHEN) CO., LTD. appears to be significantly shifting its patent strategy, as evidenced by a dramatic decline in patent filings across nearly all categories in 2025, with categories like Pattern Recognition & ML Models, Machine Learning & AI, Natural Language Processing, Speech Processing, Medical Diagnostics & Surgery, and Business Methods & Fintech all experiencing a 100% year-over-year decline from 2024. While Image Processing and Computer Vision still represent the largest portions of its portfolio at 62.7% and 49.3% respectively, both also saw steep declines of -88.2% in 2025, indicating a broad re-evaluation of its innovation focus rather than a targeted shift.
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.
67 US filings (since 2023) · 12 categories · 23 themes
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.
Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.
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.
Algorithms and hardware optimizations for rapidly identifying and characterizing relevant visual features (e.g., objects, motion, gradients) from images or video streams, often integrating machine learning for feature representation and recognition, with a focus on real-time performance and reduced computational cost.
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 detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.
Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.
Application of machine learning models to process complex data and generate actionable insights, predictions, or classifications that inform or automate decision-making processes in various domains like healthcare, business, or industrial control.
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.
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.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.
Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.
Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.
Methods and systems for identifying, extracting, and structuring specific entities, relationships, or insights from text-based documents, often involving techniques like named entity recognition, relation extraction, or summarization.
Technologies that process, analyze, and leverage geographic information system (GIS) data, location data, and spatial analytics for applications such as monitoring, navigation, and environmental assessment.
Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.
Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.
Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.
Techniques and architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.
Systems that monitor a vehicle operator's physiological state, attentiveness, or behavior using in-cabin sensors and machine learning to enhance safety or personalize vehicle functions.
Systems and methods for enhancing the safety of vulnerable road users (pedestrians, cyclists) by improving their detection, prediction, and precise localization relative to the vehicle, often leveraging communication technologies and specialized markers.
Patents
Showing 1-10 of 12
Video Quality & Encoding Optimization