Radiant has implemented a production process to dramatically decrease the cost of creating 3D models while increasing the speed at which they are delivered.

With the convergence of emerging technologies, the ubiquity of hardware devices, and the significant cost reduction to develop, deploy, and manage extended reality (XR) solutions, Radiant has created a very efficient product lifecycle framework for XR …starting with the fundamentals…the models.

Recent advances in high-speed mobility coupled with an explosion in digital storage capacity have opened the door for Augmented Reality. AR is catapulting to the next level due to the ubiquity of high-speed wireless broadband connections, mass adoption of reality-based technology experience, and the limitless data store and continuous data streaming using IoT.

Augmented Reality is expected to hit $61.39 billion by 2023, growing at a 55.71% CAGR. The ever-advancing capabilities of AR technology drive this explosive growth and shape its deployment for various business cases.

Augmented Reality’s value to an organizational setup can only be realized by connecting it to the real enterprise ecosystem.

Augmented Reality or AR involves overlaying digital information from integrated enterprise systems over the users’ environment in real-time, usually through photographic or map overlays.

One of the exciting developments in technology was when Augmented Reality (AR) enhanced the convergence of IoT, AI, and Cloud Computing.

AR’s true potential is evident in niche use cases like monitoring performance in a manufacturing unit or creating next-generation ADAS systems to contextualize real-time digital content dissemination. This potential is leveraged for enterprise growth in stage four of the AR maturity model called Leading or Lead (Best-in-Class).

As augmented reality (AR) applications become more commonly used in the technology world, users expect increasingly sophisticated experiences comprising impressive visuals and interactions that are adaptive and aware of the users’ environment.

If minimizing failures, shortening development cycles, and smoothening the product development cycle are your paramount goals, then Digital Twin adoption should be your top priority. Digital Twin offers visibility on your production line and helps predict the future of various processes. It essentially helps maximize OEE, optimize productivity, and improve business profitability. In other words, Digital Twin empowers engineers to analyze, explore, and assess physical assets, processes, and systems using virtual tools.

Building Block of Digital Twin

Digital twin needs data, algorithms, sensors, and a data access framework. This is called a digital thread that runs through the data network, establishing links and correlations. The digital thread ensures that all the process components can access the latest sensor data in a product lifecycle (sample shown below).

Wrapping up

Digital Twin can integrate system insights, improve visibility on machine states, and trigger appropriate remedial business workflows. Embracing this potentially disruptive technology now can help businesses remain relevant, competitive, and digitally transformed. Radiant is playing a key role in advancing this new technology!

Most enterprises aspire to be digitally transformed. Innovation as the engine of growth favors this initiative, especially in the immersive technologies space. A core enterprise priority now is to deliver new customer experiences through digital products and services. This mandates the collection and analysis of operational data used to make process adjustments for cost reduction, efficiency improvement, and reliable business outcomes. The biggest challenge today is deploying disparate technologies within a unified business function.

This helps identify and isolate issues and deploy fixes. Using the Digital Twins, iterations are made cost-efficient and less time-consuming. Digital twins also help position companies for next-gen computing that is interactive, spatial, and intelligent. All of which is pivotal to Immersive experiences provided by AR.

All the products and processes have a digital identity with unique characteristics. In practicality, there is a constant need to update and scale content in an ever-changing environment.

Live Digital Twin data offers a real-time view of internal processes and system statuses. Hence, the Digital Thread acts as a single composition of all the disparate digital identities within the physical system or operation.

Demonstration with the Volvo Case Study

The Volvo Group specializing in manufacturing trucks, construction equipment, and industrial engines employed Digital Twin and Digital Thread technologies to update and scale QA for AR experiences continuously. Each engine required 40 checks with about 200 possible QA variants that had to be executed in 8 minutes at the QA station. Usually, it took five weeks to train employees on this complex inspection procedure. So, Volvo combined Digital Twins and Digital Threads to establish and maintain data flow consistency and efficiency.