Machine Learning and Artificial Intelligence: Advancing Towards a Better Future in Industry

At Transmission Dynamics, AI is not just a buzzword; it is the foundation of solutions that redefine possibilities and shape a connected and intelligent world.

Welcome to a world of innovation powered by Machine Learning (ML) and Artificial Intelligence (AI). 

At Transmission Dynamics, our team of dedicated Data AI professionals are leading the development of cutting-edge IoT-based solutions that harness the power of Machine Learning and AI-powered IoT across diverse Industrial IoT applications.

Machine Learning (ML) and Artificial Intelligence AI-Powered IoT

PANDAS-V® AI Camera System – automatic detection of trees and foliage: detecting danger in real-time.

Driving Technological Advancements via AI-Powered IoT

We are passionate about driving technological advancements through the integration of Machine Learning and AI into our solutions. With a deep understanding of data analytics, we harness the power of these tools to unlock their full potential across various applications. From intelligent data analysis to predictive maintenance, our solutions provide actionable insights that drive efficiency, productivity, and growth for businesses.

Machine Learning and Artificial Intelligence are not just add-ons but integral components that propel us forward in our mission to revolutionise industries. Our expertise in data analytics serves as the foundation for our advancements in Machine Learning and AI. By continuously pushing boundaries and exploring new possibilities, we strive to redefine what is achievable with Machine Learning and AI-powered IoT, ensuring that our solutions remain at the forefront of innovation.

Commitment to Innovation​

Our dedication to innovation is evident in our proactive approach to pushing boundaries and delivering cutting-edge AI-powered IoT solutions. This commitment is demonstrated through:

Innovative AI Solutions​

Constantly pushing boundaries, anticipating future requirements in a wide range of sectors​

Digital Transformation through Machine Learning

Shaping a connected and intelligent industrial IoT world in the digital age

Empowerment through Technology

Arming clients with knowledge through cutting-edge technologies and partnerships

Industry Transformation

Enhancing lives and transforming client operations through IoT edge processing data and analysis

Culture of Creativity

Fostering a culture of creativity and openness within our team of data experts

Driving Growth

Exciting sustainable growth through collaborative partnerships within industries

Connecting the World of IoT

Spreading seamless connectivity across the globle using wireless edge IoT technology and innovative AI-driven data portals

AI in Action - real-time learning on a Wind Turbine monitoring system

Our SquareBug® sensor constantly monitors the stresses used to secure assets in the mining and energy generation industries. These measurements are often taken in remote or unforgiving environments and processed in real-time.

Animation demonstrating machine learning on sensor data from SquareBug®,

Our systems use machine learning to constantly adapt to changing data patterns.  Out-of-bounds alerts are communicated in real-time to stakeholders,  preventing potential maintenance downtime or even catastrophic failure.

AI, Machine Learning, and Deep Learning

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, but they are distinct concepts with different applications here at Transmission Dynamics.

Predictive AI data machine learning demonstration

Understanding the Differences


involves creating machines or systems capable of tasks typically requiring human intelligence, like problem-solving and decision-making. For instance, our AI system detects anomalies in the pantograph or overhead line on train lines, alerting maintenance teams to prevent downtime and ensure rail service reliability.

Machine Learning

is a subset of AI focused on developing algorithms that enable computers to learn from data and improve performance over time. For example, our Machine Learning models analyse historical data on train performance and maintenance schedules to predict optimal maintenance intervals for critical components, maximising asset lifespan and minimising disruptions.

Deep Learning

takes Machine Learning to the next level by using artificial neural networks with many layers to learn from large amounts of data. For instance, Deep Learning algorithms can be used to process vast amounts of sensor data from railway systems, extracting valuable insights for predictive maintenance and performance optimisation.

Our Team of Experts​

At Transmission Dynamics, our skilled professionals collaborate to develop and deploy innovative solutions using Machine Learning and AI.

Data analysts extract insights from complex datasets, while software engineers implement these models into AI systems and integrate them with our cloud platforms, ensuring robustness and scalability.

Firmware engineers create software solutions for seamless integration of Machine Learning and AI technologies, including Edge Processing, into our hardware systems.

With diverse expertise, our team drives innovation and delivers excellence in an exciting and rapidly-changing landscape.

Instrumental in shaping a connected and intelligent world, our multidisciplinary team leads innovation with transformative Machine Learning and AI-powered IoT solutions.

Transmission Dynamics leads industry in smart Industrial IoT AI device manufacturing. From code to chip, our in-house facilities handle every aspect from PCB design, to sensor manufacture and custom AI software development, ensuring a comprehensive and seamless process from start to finish.

Maximising Capacity through Real-Time Condition Monitoring​

We are committed to maximising capacity and efficiency through real-time condition monitoring solutions powered by Machine Learning and AI. Here’s how:

  • Enhancing Safety and Efficiency

    Our solutions proactively detect faults or anomalies, preventing unexpected failures and minimising safety risks. For example, in the rail industry, our PANDAS-V® system promptly detects (through AI analysis) and reports faults, enabling immediate action to address safety concerns and prevent accidents.

  • Improving Operational Performance

    Real-time monitoring allows clients to identify inefficiencies and optimise operations, reducing downtime and improving service reliability. For instance, in transportation networks, monitoring vehicle performance and track conditions enables better scheduling of maintenance activities.

  • Extending Asset Lifespan

    By identifying potential issues early and addressing them promptly, our solutions help clients avoid costly repairs and replacements, ultimately saving money in the long run. This includes many applications should as gearboxes, turbines, machinery and escalators.

  • Efficient Resource Allocation

    Optimising operations and maintenance schedules based on real-time data leads to more efficient resource allocation, reducing costs for clients. This ensures resources are utilised effectively, prioritising critical maintenance tasks and minimising unnecessary expenditures.

Our real-time condition monitoring solutions powered by Machine Learning and AI maximise capacity, enhance safety, and drive efficiency across various industries. 

Training a Self-Organising Map (SOM) on the data from a single train gearbox acquired using Smart Oil Plug.

Outlier Detection using AI-Powered IoT
Gearbox IoT Edge Processing Analysis

Cluster Networks

This is a network diagram representing the similarities found between gearboxes.

12 gearboxes had no other similar gearbox, the rest formed these clusters.

If a fault is found in one gearbox, we can consult this network to find other gearboxes we should investigate.

The Importance of IoT Edge Processing​

The Cloud without the wait - Wireless Edge IoT Computing

IoT Edge Processing, also known as Edge Computing, refers to the practice of performing data processing and analysis at the source of data generation, rather than relying on centralised data centres. In our case, suitable products have the ability to directly process and analyse data right in the heart of the device hosting the sensors or camera.

This strategy provides various benefits including decreased latency, enhanced data privacy, and greater resilience against network failures. Conducting computations locally guarantees quicker response times, heightened security, and diminished dependence on connectivity and centralised infrastructure. Edge processing is fundamental to our solutions’ success, ensuring effectiveness, responsiveness, and scalability.

IoT Edge Processing Explained

Sensors collect data on-device

On-device Edge Processing of data

On-device Edge Processing of data

Processed data transmitted for immediate collection and client review

Transmission Dynamics products which utilise IoT Edge Processing

PANDAS-V® Monitoring System Full Package


PANDAS-V® pioneers rail industry innovation by integrating IoT edge processing technology into remote condition monitoring for train pantographs and overhead lines. Analysing data directly at the source, it swiftly detects maintenance issues in real time, enhancing efficiency and setting new standards in rail operations.

Smartbug® Wireless Temperature and Vibration Sensor


SmartBug® is a compact wireless telemetry system that measures strain, vibration, roll, and temperature. With its built-in battery and IoT edge processing capability, it offers real-time analysis for prompt decision-making. Data is transmitted wirelessly to a Gateway and presented through the Global Data Network (GDN®) portal, providing actionable insights for optimising asset performance.

Multiple SquareBug Remote Data Logging Systems


SquareBug® Wireless Sensor System revolutionises temperature and vibration measurement with versatile channels, remote monitoring, and real-time alerts, enhancing efficiency across industries. Integrated into the Global Data Network, it sets new standards for condition monitoring and decision-making. SquareBug® employs wireless edge IoT processing capabilities, enabling on-device analysis of data, reducing latency, and enhancing responsiveness in critical situations, thus ensuring timely and proactive interventions.

Smart Oil Plug® Wireless Gearbox Monitoring

Smart Oil Plug®​

The Smart Oil Plug® transforms railroad maintenance with its wireless edge IoT processing capabilities. By analysing data directly on the device, it detects issues like abnormal temperatures, vibrations, and oil debris in real time. This immediate insight allows for prompt interventions, reducing downtime and enhancing operational reliability. With its wireless transmission, it provides instant alerts and actionable insights, redefining maintenance practices for improved safety and efficiency.

Machine Learning and Artificial Intelligence are reshaping industries and driving transformative change.

Experience the power of cutting-edge technologies – IoT Edge Processing and AI-Powered IoT.  Contact us now to explore how our advanced solutions can revolutionise your business today.

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