04/16/2025, 07:00 AM UTC
边缘AI智能紧凑型传感技术Smart and Compact Sensorics through Edge AI
弗劳恩霍夫光子微系统研究所（IPMS）参与了名为“InSeKT”（智能传感器边缘技术发展）的跨学科研究项目。该项目由威尔达技术大学、莱布尼茨创新微电子研究所（IHP）和弗劳恩霍夫IPMS共同实施，旨在更有效地将人工智能（AI）集成到IT网络的“边缘”。项目聚焦于微型传感器结构和电子组件的集成，目标是实现数据源（如传感器本身）的直接复杂计算。
目前，使用AI的数据处理通常通过中央云计算解决方案进行，导致数据在大范围内传输并可能发生数据泄露。项目通过促进去中心化数据处理来解决这个问题，以提高数据安全和系统的实时能力。
项目涵盖了多个领域，包括使用离子迁移率光谱仪（IMS）进行气体分析、近红外波长范围的光检测器的数据支持评估以及电容式微机电超声传感器（CMUT）的适应性应用以提高成像。生成的数据将用于训练边缘-KI系统，以实现快速和准确的数据处理。
The Fraunhofer Institute for Photonics Microsystems (IPMS) is involved in an interdisciplinary research project called 'InSeKT' (Development of Intelligent Sensor Edge Technologies). This project, carried out by the Technical University of Wildau, the Leibniz Institute for Innovative Microelectronics (IHP), and the Fraunhofer IPMS, aims to integrate artificial intelligence (AI) more effectively at the 'edges' of IT networks. The project focuses on miniaturized sensor structures and the integration of electronic components, with the goal of enabling complex calculations directly at the data source, such as at the sensor itself.
Current data processing with AI often occurs through central cloud computing solutions, leading to data transfer over large distances and potential data leaks. The project addresses this by promoting decentralized data processing for improved data security and real-time system capabilities.
The project covers various areas, including gas analysis using ion mobility spectrometers (IMS), data-supported evaluation of photodetectors for the near-infrared wavelength range, and the adapted use of capacitive microelectromechanical ultrasonic transducers (CMUTs) for improved imaging. The generated data will be used to train Edge-KI systems for fast and accurate data processing.
---
本文由大语言模型（LLM）生成，旨在为读者提供半导体新闻内容的知识扩展（Beta）。
