Company patents
TRINAMIX GMBH
TRINAMIX GMBH's patent strategy reveals a strong and sustained focus on Computer Vision, which constitutes 33.5% of its portfolio and saw remarkable growth of +433.3% in 2024 and +93.8% in 2025, alongside Image Processing (27.3% of portfolio) with a +600.0% YoY increase in 2024. While there's an emerging focus on Computer Security, which experienced a significant +650.0% YoY growth in 2025, the company appears to be shifting away from Photovoltaic Cells (Legacy CPC) and Medical Diagnostics & Surgery, with both categories showing a -100.0% decline in patenting activity so far in 2026.
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.
161 US filings (since 2023) · 11 categories · 17 themes
Techniques and apparatus utilizing various spectroscopy methods (e.g., Raman, NIRS, photometric, interferometric) for identifying substances, measuring concentrations, or monitoring chemical and physical processes in industrial, environmental, or laboratory settings.
Innovations in the physical design, materials, fabrication, or packaging of photodetectors and optical sensor elements, including thermoelectric, NIR-compliant, and self-mixing interference types, to improve performance or integration.
Systems and methods for acquiring and analyzing image data across multiple discrete spectral bands or a continuous spectrum, often for material characterization, environmental monitoring, or remote sensing applications.
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.
Technologies for non-contact measurement of distance, position, or 3D properties of a target object, often involving active emission and detection of light or radio frequency waves, including target tracking.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
Techniques and systems for measuring three-dimensional shapes, depths, or surface profiles using optical principles, including diffraction, interferometry, structured light, and imaging.
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.
Use of thermal and infrared sensors for non-contact temperature measurement, occupancy detection, structural health monitoring, fire/hazard detection, and process control in diverse industrial, environmental, and security applications.
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.
Application of machine learning models and algorithms to interpret complex optical sensor data for tasks such as object classification, anomaly detection, health monitoring, or environmental state determination, enhancing automation and decision-making.
Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.
Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.
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.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
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.
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Patents
Showing 1-10 of 23
Sensor-based Environment Perception