Pascal2 - Digital Twin

Pascal2 consists of Vision and Digital Twin modules. While Pascal2-Vision is an inference platform that enables CPU-based inference using vision AI models, the Digital Twin is a proprietary AI model. It is a system capable of simulating real-world environments with high fidelity by executing the entire process from training to inference. Furthermore, when the number of input features is optimal, it can perform high-speed inference efficient enough to apply the inference output directly to actual control loops. In particular, it provides a synchronization feature with control systems such as PLCs, allowing the inference output to be actively reflected in the control loop.

The Pascal2-Digital Twin is a very lightweight engine because it does not use any database or GPU. It can run multiple Digital Twins on a single host computer.

This feature allows numerous pieces of equipment operating in a production line to be divided into individual unit equipment for separate learning, and then reintegrated back together in virtual space. In other words, it enables you to assemble the entire manufacturing site like Lego blocks in a virtual environment, while also allowing the learned digital twins of unit equipment to be reused across different processes.

The high-speed inference output enhances the Simulator’s real-time performance, making it possible to deliver a highly realistic on-site experience even in education and training.