AI Thermal Imaging Predictive Maintenance 2026 — PatSnap Eureka
AI Thermal Imaging Predictive Maintenance 2026
AI-powered thermal imaging is converging with computer vision and predictive maintenance to enable non-contact, automated fault detection. This dataset spans 50+ patent and literature records from 2006 to 2026.
Infrared Thermography Meets Machine Learning
The core technology combines infrared thermography sensing in the 7–14 µm long-wave infrared band with machine learning and computer vision algorithms. Three converging technical pillars drive this field: thermal sensor calibration and image pre-processing for radiometric accuracy; AI and ML models including CNNs, LSTMs, autoencoders, and GANs for anomaly detection; and system integration via edge computing, IoT sensor fusion, AR overlays, and digital twin simulation.
Patent publication dates in this dataset range from 2006 to 2026, with a notable concentration of filings from 2021 onward signaling accelerating commercialization activity. Literature records span academic publications from 2018 through 2023. The field has progressed from early thermal-AR integration for first-responder training through ML-based industrial inspection to fully autonomous remediation architectures visible in the most recent 2025–2026 filings.
Key sub-domains visible in this dataset include ML-based thermal anomaly detection for industrial equipment, multi-modal fusion combining thermal with visible and LiDAR sensors, AR-integrated thermal inspection systems, data center IT infrastructure thermal monitoring, thermal imaging on autonomous and mobile platforms, biomedical and public health thermal screening, and agricultural monitoring via UAV-mounted thermal cameras.
In this dataset, approximately 8 assignees account for the majority of multi-filing activity, including Teledyne FLIR, IBM, Eigen Innovations, Distech Controls, Rockwell Automation, Dell Products, Xtract One Technologies, and Raspect Intelligent Inspection. A long tail of single-filing academic institutions from India reflects growing emerging-market R&D interest in retrieved records.
Technology Clusters and Filing Activity Over Time
Patent activity in this dataset clusters around four primary technology approaches: ML-based thermal anomaly detection, multi-modal sensor fusion, AR and digital twin integration, and autonomous platform-based inspection. Filing concentration accelerates from 2021 onward.
Top Assignees by Filing Count — Dataset Snapshot
In this dataset, Teledyne FLIR Commercial Systems leads with 4 filings, followed by Eigen Innovations and Distech Controls with 3 each, while IBM, Rockwell Automation, Dell Products, Xtract One Technologies, and Raspect each hold 2 filings.
↗ Click bars to exploreFiling Activity by Era — AI Thermal Imaging Dataset
In this dataset, filing activity shows a clear progression from 2 foundational patents in 2006–2015, to a development cluster of approximately 12 filings in 2018–2021, to an accelerating commercialization phase of 20+ filings in 2022–2026.
↗ Click bars to exploreKey Deployment Domains for AI Thermal Inspection
Across this dataset, AI thermal imaging and predictive maintenance patents span seven primary application domains from industrial manufacturing floors to pediatric ICUs, reflecting broad horizontal applicability of the core technology stack.
Industrial Manufacturing Equipment
IBM’s asset maintenance prediction system uses autoencoding CNNs trained on paired IR and visible image pairs, comparing similarity coefficients across segmented regions to detect deviation (US 2023, updated 2025). Eigen Innovations’ virtual thermal camera system addresses noise and positional inconsistency in high-volume manufacturing processes using ML to normalize thermal data (US 2024). A CNN-LSTM architecture for weld defect detection from melt pool thermal video integrates OPC-UA for Industry 4.0 environments (Literature 2020).
Predictive MaintenanceData Centers and IT Infrastructure
Dell Products L.P. filed two active US patents in 2026 specifically addressing ML-based thermal anomaly detection in data centers, generating structured anomaly characterizations and autonomously selecting remedial actions. Rockwell Automation’s ambient thermal image map system fuses point-sensor temperature data from enclosed industrial automation devices with thermal camera imagery to generate predictive 3D heat maps (US 2024, 2025). Emerson Network Power Technology Group targets AI-based temperature prediction for automated data center machine rooms (CN 2025).
IT Infrastructure MonitoringAutonomous Vehicles and Mobile Robots
Teledyne FLIR Commercial Systems holds 4 active patents on thermal imaging for navigation across US and EP jurisdictions (2022, 2025, 2026), covering obstacle detection, maneuvering guidance, and radiometric navigation for mobile platforms. The Raymond Corporation’s AGV thermal sensing patent (AU 2025) implements thermal sensors to detect heat-emitting obstacles and generate control commands. GM Cruise Holdings’ movement prediction filing (US 2023) fuses thermal and visible channels to predict object movement trajectories.
Autonomous PlatformsHealthcare and Biomedical Monitoring
Literature records document LSTM-based hemodynamic shock detection in pediatric ICUs trained on 103,936 thermal video frames (2020–2022). Xtract One Technologies filed two US patents (2021, 2025) on AI-assisted elevated temperature detection using commodity thermal cameras, originating from COVID-19 fever screening and maturing into general health surveillance. These filings span US and CA jurisdictions covering AI inference on low-cost thermal sensor hardware.
Health SurveillanceKey Patent Assignees in AI Thermal Imaging Predictive Maintenance (Retrieved Records)
In this dataset, Teledyne FLIR Commercial Systems leads with 4 filings across US and EP jurisdictions, while Eigen Innovations and Distech Controls each hold 3 filings spanning US, WO, and CA jurisdictions in retrieved records. Approximately 8 assignees account for multi-filing activity in this dataset.
Top Assignees by Filing Count in Retrieved Records (Dataset Snapshot)
↗ Click bars to exploreTeledyne FLIR Commercial Systems
Teledyne FLIR Commercial Systems holds 4 filings in this dataset across US and EP jurisdictions with publication dates spanning 2022 to 2026. Patent focus covers thermal imaging for navigation systems and methods including obstacle detection, maneuvering guidance, and radiometric navigation for mobile platforms. Filings include active US grants (2022, 2025) and a 2026 EP application targeting autonomous vehicle thermal sensing.
United States / EPEigen Innovations Inc.
Eigen Innovations holds 3 filings in this dataset across US, WO, and CA jurisdictions with dates spanning 2021 to 2024. The virtual thermal camera imaging system uses ML to address noise and positional inconsistency in high-volume industrial manufacturing thermal inspection. The WO 2021 and CA 2021 filings established international coverage, with a US grant following in 2023 and an updated US filing in 2024.
Canada / United States / WOFive R&D Signals from the 2024–2026 Filing Cluster
The most recent filings in this dataset — concentrated in 2024–2026 — reveal five directional shifts: from detection to autonomous remediation, from single-modal to convergent multi-modal architectures, and from cloud to edge deployment.
Autonomous Remediation Beyond Detection
Dell Products’ 2026 US filings go beyond anomaly flagging: the ML model selects and executes remedial actions in IT infrastructure environments autonomously. This represents a shift from decision support to automated response, marking an architectural transition visible across the most recent filing cluster. IP white space in closed-loop autonomous corrective action remains an undercrowded but rapidly filling space.
Digital Twin + ML + AR Convergence
IBM’s 2025 US patent on machine learning and augmented reality for proactive thermal amelioration integrates real-time sensor data, digital twin simulation, ML thermal prediction, and AR projection of actionable recommendations. This filing represents the most complete architectural vision in this dataset. Siemens’ edge AI inference framework (WO 2021) points to large industrial conglomerates building foundational infrastructure for thermal AI at the edge.
ML-Based Anomaly Detection vs. AR-Digital Twin Integration
Click any row to explore further.
| Dimension | ML-Based Anomaly Detection | AR + Digital Twin Integration |
|---|---|---|
| Representative Assignees | IBM (2023 US), Dell Products (2026 US), Raspect (2024 US) | IBM (2025 US), Siemens (2021 WO), Velammal Institute (2026 IN) |
| Core ML Model | Autoencoding CNNs, anomaly classification models, similarity coefficient scoring | ML thermal prediction models integrated with digital twin simulation layers |
| Input Data | Paired IR + visible image streams, thermal image maps from IT infrastructure areas | Real-time sensor data fed into digital models; simulated machinery operations |
| Output / Action | Structured anomaly characterization; autonomous remedial action selection (Dell 2026) | AR projection of predicted thermal issues and recommended mitigations onto physical environment |
| Primary Application | Asset maintenance prediction, IT infrastructure data center thermal management | Industrial maintenance visualization, proactive thermal amelioration in facility environments |
| Filing Jurisdictions | US (primary), AU (Raspect) | US, WO, IN |
| Maturity Signal | Commercialization phase; autonomous execution visible in 2026 filings | Emerging integration phase; most complete architecture visible in IBM 2025 filing |
| IP White Space | Closed-loop autonomous corrective action; radiometric calibration under ambient drift | Cross-vendor digital twin interoperability; AR overlay accuracy under dynamic conditions |
FAQ: AI Thermal Imaging Predictive Maintenance Patents
Patent publication dates in this dataset range from 2006 to 2026, with a notable concentration of filings from 2021 onward. Literature records span academic publications from 2018 through 2023. The dataset covers 50+ patent and literature records in total.
In this dataset, Teledyne FLIR Commercial Systems leads with 4 filings across US and EP jurisdictions, covering thermal imaging for navigation, obstacle detection, and radiometric navigation for mobile platforms. Eigen Innovations and Distech Controls each follow with 3 filings.
The dataset documents multiple architectures including autoencoding CNNs for paired IR and visible image comparison (IBM), CNN-LSTM for welding defect detection from thermal video, LSTM models for hemodynamic shock prediction from 103,936 video frames, and YOLOv4 with LINEMOD 6DOF pose estimation for AR thermal overlay alignment.
IBM’s 2025 US patent on machine learning and augmented-reality for proactive thermal amelioration collects sensor data from a physical environment, builds a digital model, simulates machinery operations, uses an ML model to predict thermal conditions, and projects predicted thermal issues and recommended mitigations via AR display.
The United States is the dominant filing jurisdiction with approximately 22 distinct patents or applications. India accounts for 5 filings, Australia for 4, EP for 4, China for 2, WO for 2, Canada for 2, and Taiwan for 1 in this dataset snapshot.
The dataset identifies several IP white space areas: autonomous remediation beyond detection (closed-loop corrective action), dynamic radiometric calibration for uncooled cameras under ambient drift, multi-modal fusion architectures combining IR with LiDAR and IoT, and blockchain-anchored data integrity for audit-grade predictive maintenance records.
Data and insights on this page are based on a limited patent and literature dataset and are for reference only. Figures may not represent the complete technology landscape.