Tyco Fire & Security GmbH

Systems and methods for intelligent control of HVAC equipment, often incorporating sensors, communication networks, and adaptive algorithms to optimize comfort, energy efficiency, and operational parameters.

Application of artificial intelligence, machine learning, and data analysis techniques for tasks such as fault detection, predictive maintenance, learning-based control, and intelligent environmental monitoring in HVAC systems.

Systems and methods for processing, prioritizing, and presenting multiple alarms, including features like temporary pausing, customized display, and intelligent decision-making for alert delivery based on context or user profiles.

Novel designs and configurations for heat exchangers that improve heat transfer efficiency, compactness, or enable specific phase change or separation processes within refrigeration and heat pump cycles.

Design and control strategies for improving the efficiency, stability, and operational flexibility of refrigerant circuits, including component integration, flow management, phase separation, and pressure regulation.

Techniques and mechanisms to optimize the performance, energy consumption, and operational range of compressors in refrigeration and heat pump systems, often involving variable control of compression parameters like volume ratio or speed.

Control systems designed to monitor, optimize, and manage energy generation, storage, distribution, and consumption within industrial facilities or interconnected power networks to improve efficiency and meet regulatory requirements.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Methods and systems for monitoring, controlling, and managing Internet of Things (IoT) devices and their communication networks, often involving adaptive or intelligent frameworks for data acquisition, relay, and automation.

Techniques for distributing computational tasks, data storage, and service logic across cloud data centers, edge devices, and user equipment to improve performance, resilience, or resource utilization. This includes architectures for split rendering, decentralized ledgers, and microservices.

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

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.

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.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Methods and systems that identify unusual or suspicious patterns in data streams, often leveraging machine learning models trained on normal behavior, to detect threats, faults, or significant events as they occur.

Technologies focused on improving indoor air quality by removing pollutants, microorganisms, or excess humidity, often employing specialized materials, filtration, or air circulation strategies.

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.

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.

Non-traditional refrigeration and heat pump systems that utilize principles other than vapor compression, such as magnetocaloric effects, thermoelectric effects, absorption cycles, or thermochemical reactions.

Methods and systems for protecting network resources and data from unauthorized access, misuse, or attack, encompassing authentication, authorization, encryption, and traffic filtering mechanisms. This includes securing communication channels and validating network access.

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.

Alert systems designed to deliver notifications tailored to an individual's specific situation, health status, location, or relationship context, often leveraging wearable devices or mobile applications for personalized guidance and compliance.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

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.

Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

Systems that utilize light, displays, or augmented reality to provide warnings, guidance, or to deter unwanted actions, often involving adjustable light patterns or directional indicators for enhanced effectiveness.

Managing and optimizing network resources and services deployed at the edge of the network or within cloud environments, including distributed domain name resolution, resource exposure analysis, and traffic management specific to distributed architectures.

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.

Technologies for transmitting critical alerts and information during emergencies, often involving wireless networks, specialized devices, and protocols to ensure timely and targeted communication to users or emergency services.

Enhancements to the physical and data link layers of network communication, focusing on hardware components, signal integrity, power efficiency, and efficient data transfer mechanisms for specific interfaces and buses.

Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

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.