SICK has expanded its digital sensor portfolio by providing 2D and 3D LiDAR sensors, safety scanners, and camera sensor models in the Universal Scene Description Data (OpenUSD) format. The models integrate with NVIDIA Isaac Sim 5.0, built on NVIDIA Omniverse libraries, enabling realistic simulation of sensor-based applications. Customers can test and optimize functions in virtual environments before physical hardware is available, accelerating machine development and validation. The expanded offering also improves system performance, helping users boost efficiency and strengthen customer satisfaction.
Virtual Sensor Models – Digital Twins of Sensor Optical Principles
In industrial automation and digitalization, real testing is often limited or expensive. Simulation tools like Isaac Sim provide an efficient way to develop machines, robots, and systems. These environments let developers test diverse configurations, uses, and scenarios without relying on physical prototypes. The approach shortens development cycles and improves product performance and reliability.
SICK specialists validated the virtual sensor models using the optical parameters of real autonomous perception devices. This ensures realistic behavior and accurate data in simulation environments. These digital twins can run in Isaac Sim to test diverse sensor configurations, develop and evaluate algorithms, refine sensor functions, and generate training data for AI-based vision systems.
New SICK Sensor Models Directly Usable
The new virtual sensor models include LiDAR sensors MRS1104C, multiScan156, picoScan150, and TiM781, safety laser scanners nanoScan3 and microScan3, and vision sensors Inspector83x and safeVisionary2. These models integrate into NVIDIA Isaac Sim projects without any modifications. They are provided as metadata of visual USD models and are available through both Isaac Sim and SICK channels. The models are designed for flexible adaptation, allowing adjustments to detail level and sensor variance based on customer requirements.
SICK: A Leader in Digital Innovations
SICK has expanded its portfolio of virtual sensor models to support digital engineering. The models use the OpenUSD format for flexible integration into industrial metaverse tools. By combining these models with the NVIDIA Omniverse RTX sensor, SICK can respond faster to customer needs. This includes creating new sensor models or adapting existing ones. The approach supports future-proof virtual engineering services, giving customers tailored solutions that align with modern development processes and application requirements.
Source: SICK
About SICK
SICK AG, founded in 1946 by Dr. Erwin Sick, is a global provider of sensor-based solutions for industrial applications. Headquartered in Waldkirch, Germany, the company specializes in intelligent sensors and systems that improve automation across various sectors, including factory, logistics, and process automation. SICK’s product portfolio comprises of photoelectric sensors, safety light curtains, laser scanners, and identification solutions like barcode scanners and RFID readers. These technologies are integral to industries such as automotive, electronics, food and beverage, and packaging, where they ensure efficient process control, safety, and environmental protection. With nearly 60 subsidiaries and numerous agencies worldwide, SICK employs over 12,000 people and reported a group revenue of €2.3 billion in the 2023 fiscal year.