The potential of using Digital Twin in training automotive workers is vast. When talking about the future of tech in training workers, the following are some ways it can help.
1. Customized Training Programs
Companies can tailor the training program to the specific needs of individual workers.
Companies can identify the weakness and strengths of a trainee by monitoring his/her performance. This allows them to further customize the program to strengthen their weakness.
For instance, assume that a trainee is good at installing tires but struggles to align the car's headlight properly. By understanding this, the company can tailor the training specifically for that trainee. This way, he/she can improve their skill and make the most out of the training program.
2. Predictive Analysis
Digital Twins can analyze the collected data to make predictions, which can anticipate the skills required in the future.
For example, The future of the automotive industry is leaning more toward EVs and autonomous driving. Meaning there is a requirement for a new set of skills and knowledge. And Digital Twin can help here.
3. Immersive Technologies
Combining techs like AR and VR with Digital Twins can give rise to a more immersive and intuitive training experience. This kind of training allows workers to FEEL and INTERACT with the machinery or entire assembly line virtually. Thus it makes the learning process more engaging and effective.
4. AI and Machine Learning
Like how AR and VR, integrating AI and machine learning in digital twins can also make the training program more efficient. More Intelligent!
AI and machine learning programs can learn and adapt to a trainee's action in the virtual environment. In doing so, it provides instant feedback and personalized recommendations.
For example, when integrated with Digital Twin, AI could monitor each trainee's performance, precision, and even mistakes. If a particular trainee or group of trainees find it difficult to, say, align the door correctly. Then, the program can help these trainees by providing a step-by-step guidance video on how to do it.
In addition, AI can also personalize the training sessions to focus more on such weak areas until the trainee masters them.
5. Enhanced Realism
As technology advances, the level of detail in a digital twin program will increase. As a result, it allows for the training programs to be more precise and accurate. This can help when it comes to complex tasks or procedures.
6. Increased Scalability
In the future, with the advancement in cloud and edge computing, companies will be able to create Digital twins with even larger systems. Or multiple systems at once.
This could pave the way for much bigger training programs, preparing workers for the interconnectedness of real-world manufacturing environments.
While it's safe to say that the future of Digital Twin in worker training looks bright, adopting the tech still poses a challenge. But as the popularity of Digital Twin increases, fewer will be the challenges.
Also Read: Top 10 Advantages Of Cloud Computing: How It Helps Orgs