How do you test a new manufacturing line without actually building it? Or replicate shopping behavior without having an actual test store? Can you train machine learning systems without physical training data?
The answer to these tough questions is to utilize a True Digital Twin℠. Kinetic Vision will present their proprietary digital twin technology and example applications at the NVIDIA GTC 2020: Deep Learning & AI Conference, which takes place October 5-9th.
Most current digital twins are created to monitor complex systems, but it is much rarer for them to be used as a development tool. That’s because they typically just process sensor data to predict potential failures and recommend preventive maintenance, but don’t create a complete virtual equivalent.
A true digital twin not only replicates the physical three-dimensional space, but also integrates machinery, robotics, devices, sensors, control software, and computer vision or AI systems. In addition, the technology also simulates real human action and interaction. Wearing VR headsets, people experience the digital twin in virtual reality and control their avatars in real time. A true digital twin empowers system development teams to iterate and innovate much faster compared to traditional physical methods.
"True digital twin technology will revolutionize the development of complex systems and processes. The time and cost savings are too significant to ignore,” said Rick Schweet, President and CEO of Kinetic Vision.
The virtual conference covered a wide range of topics including AI, HPC, accelerated data science, graphics, and networking. The industries served are automotive, aerospace, healthcare, manufacturing, retail, and more. Schweet's talk was entitled "Use of True Digital Twins to Develop, Test, and Optimize Complex Systems".