Evaluation of NVIDIA Xavier NX Platform for Real-Time Image Processing for Plasma Diagnostics

Abstract

Machine protection is a core task of real-time image diagnostics aiming for steady-state operation in nuclear fusion devices. The paper evaluates the applicability of the newest low-power NVIDIA Jetson Xavier NX platform for image plasma diagnostics. This embedded NVIDIA Tegra System-on-a-Chip (SoC) integrates a Graphics Processing Unit (GPU) and Central Processing Unit (CPU) on a single chip. The hardware differences and features compared to the previous NVIDIA Jetson TX2 are signified. Implemented algorithms detect thermal events in real-time, utilising the high parallelism provided by the embedded General-Purpose computing on Graphics Processing Units (GPGPU). The performance and accuracy are evaluated on the experimental data from the Wendelstein 7-X (W7-X) stellarator. Strike-line and reflection events are primarily investigated, yet benchmarks for overload hotspots, surface layers and visualisation algorithms are also included. Their detection might allow for automating real-time risk evaluation incorporated in the divertor protection system in W7-X. For the first time, the paper demonstrates the feasibility of complex real-time image processing in nuclear fusion applications on low-power embedded devices. Moreover, GPU-accelerated reference processing pipelines yielding higher accuracy compared to the literature results are proposed, and remarkable performance improvement resulting from the upgrade to the Xavier NX platform is attained.

Sensor Integration in a Forestry Machine

“…Additionally, it has a low power consumption and compact dimensions. Although slightly more expensive than the Intel NUC 1185G7, the NVidia Jetson Xavier Nx is especially suitable for systems using Artificial Intelligence, as well as for robotic systems and equipment with high-resolution sensors [ 20 ]. The NVidia Jetson Xavier Nx will serve as the central interface for all sensor devices, including GNSS, IMU, LIDAR, and cameras, and for the microcontroller responsible for controlling the machine’s actions.…”

Power Requirements Evaluation of Embedded Devices for Real-Time Video Line Detection

“…The principle of operation of the vision system on the measuring platform for quality testing of airport lamps is shown in Figure 2. Processing video sequences requires the use of computing units of different power [7,8], depending on the selected algorithm and the operations performed on the image [5,9]. In mobile applications, it is important to find a compromise between the compact size of the system, power consumption, and computer performance.…”

Evaluating Compact Convolutional Neural Networks for Object Recognition Using Sensor Data on Resource-Constrained Devices

“…Only a few papers have explored the use of the NVIDIA Jetson Xavier NX platform for deploying imaging applications. Among these, Jabło ński et al [4] evaluate the performance of Jetson Xavier NX for real-time image processing for plasma diagnostics. The authors implement several image processing algorithms on the platform and evaluate their performance in terms of speed and accuracy.…”