Intrinsic Core Integrations

The FIELD system (FANUC Intelligent Edge Link & Drive) is an Industrial IoT platform created by FANUC that facilitates the connection of production machines across various generations and brands, not limited to FANUC devices. This interconnected system supports extensive data gathering and analysis throughout the entire production process, which leads to reduced equipment downtime and enhancements in operational efficiency and product quality. Being an open platform, FIELD empowers manufacturers to integrate devices from numerous suppliers, including robots, PLCs, and sensors, and to design and deploy FIELD Apps customized to meet their unique requirements. Additionally, users have the option to acquire FIELD Apps developed by device manufacturers or third-party software experts, each offering advanced features and innovative solutions that can significantly enhance their operational capabilities. Ultimately, FIELD serves as a versatile solution that fosters collaboration and innovation in manufacturing environments.

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.