Company patents
Verkada Inc.
Verkada Inc. demonstrates a strong, albeit fluctuating, commitment to Computer Vision, which constitutes 54.4% of its portfolio, despite a significant decline of 77.8% so far in 2026. Surprisingly, while core computing areas like Computer Vision and Databases & Information Retrieval (down 80.0% so far in 2026) are seeing a slowdown in patenting activity, Verkada is rapidly emerging in Computer Security and Cryptographic Mechanisms, both showing a remarkable 400.0% year-over-year growth so far in 2026, indicating a strategic pivot towards securing its visual and communication 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.
68 US filings (since 2023) · 11 categories · 12 themes
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.
Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.
Systems and methods for securely and reliably delivering, installing, and managing software or firmware updates to distributed or embedded devices, often considering network conditions, resource constraints, or storage repartitioning.
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 for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.
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.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
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.
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.
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.
Patents
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