Decoding Digital Twin Jargon! 🤯 Part 2 – AI & Computer Vision

rachel
Articles
Feb 27, 2024

Welcome to part 2 of the world of digital transformation that is unlocking improvement across our buildings and cities.

 

In the rapidly evolving landscape of digital transformation, the creation of digital twins stands at the forefront of unlocking advancements in our buildings and cities. In Part 2 of our exploration, we delve into the realms of Artificial Intelligence (AI) and Computer Vision, essential components that synergise with digital twin technology.

 

Click here to read part 1 which covers the impact of digital twins and Visual Intelligence.

Artificial intelligence

Artificial Intelligence, (or AI), is like giving computers the ability to think and learn in a way that resembles human intelligence. It involves creating computer systems and algorithms that can perform tasks that typically require human intelligence, such as understanding natural language, recognising patterns, solving problems, and making decisions. AI seeks to replicate human-like cognitive functions in machines to enable them to perform these tasks autonomously.

Consider a “smart building” equipped with AI systems, they keep watch over your space sending you alerts and alarms if things go wrong eg the temperature goes too high, the door is left open, your air quality has an issue and more, they can even be programmed to make adjustments on your behalf.

 

Computer Vision, what is it?

Computer Vision is a branch of Artificial Intelligence (AI) that empowers computers to analyse and respond to visual data from the world. It’s like giving computers the ability to perceive and comprehend their surroundings, much like humans do with their eyes. In practical terms, within the built environment, it’s akin to equipping buildings and construction sites with “smart eyes” that not only identify defects and issues but also oversee assets and materials, streamlining inventory management, enhancing security, and optimising efficiency.

Because we can train computers to find and inspect products or watch a production asset, it can analyse thousands of spaces, products or processes a minute, counting anything from the number of windows or fire extinguishers to volume of occupants and cars. They can even be trained to identify faults, noticing imperceptible defects or issues – often hidden to the human eye.

Computer Vision serves as a valuable asset in building management by providing a range of capabilities that amplify the efficiency, safety, and security of structures. These capabilities entail the utilisation of cameras and sensors, enabling computers to recognise and interpret visual information. In simpler words, it means using technology to “see” and understand the physical world.

For instance, in construction, Computer Vision can monitor construction progress, pinpoint potential safety risks, and compare ongoing work to architectural plans. If any deviations or safety concerns arise, it can promptly send alerts. Similarly, it can be employed to create a detailed inventory of assets within a city or building, identifying and cataloguing items such as street signs, traffic lights, doors, windows, alarms, and more, storing this information in a digital database. This inventory management ensures better urban planning and maintenance.

As we navigate this digital frontier, the convergence of AI, Computer Vision, and the power of visual intelligence technologies in our digital twins propels us towards more sustainable, efficient, and secure built environments. Together, they lay the foundation for intelligent cities, where data-driven insights from digital twins drive progress, ensuring a harmonious coexistence between technology and urban life.

In Part 3 we’ll decode all the remaining key jargon, such as Internet of Things (IoT), Machine Learning, and more. Click here to read part 3.

Now that you have a clearer grasp of the world of digital twins, please let us know if you’d like a demo – [email protected]