Affiliations: [a] Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China
| [b] College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
Note: [1] This work was supported in part by Stable Support Foundation of National Key Laboratory (WDZC20205500303), National Natural Science Foundation of China (52275116), and Postgraduate Scientific Research Innovation Project of Hunan Province (CX20210061).
Abstract: The proliferation of artificial intelligence (AI) devices has generated an increasing demand for reliability in their utilization. Nevertheless, the significant concern persists regarding the absence of suitable assessment and testing techniques to evaluate the performance of these intelligent systems in real-world conditions. In response to these issues, this paper conducts research on the reliability testing and assessment of AI visual perception systems under vibration stress. The paper introduces the working mechanism of the visual perception system and the various testing methods for AI devices. Based on this, a reliability assessment method for intelligent devices is proposed, which uses the Fréchet distance as the measurement function and environmental adaptability as the reliability metric. Additionally, a vibration test platform for the visual perception system is established, which offers a cost-effective and reliable solution to the high cost issue of field testing for AI devices. Finally, the reliability level of the visual perception system under various vibration conditions is tested through vibration testing. The research findings indicate that the reliability of AI models decreases as the degradation caused by vibration increases, following a normal distribution.
Keywords: Reliability, fréchet distance (FD), visual perception system (VPS), environmental adaptability, vibration test
