AI 中文总结
ECO-ID是基于事件相机的VLC系统，通过时空编码设计实现多用户超低延迟识别，原型达到99.8%定位、98.7%识别准确率，平均延迟0.64ms，支持数十并发用户，兼具安全与隐私性。
AI 中文摘要
对时间要求严苛的交互系统日益需要针对多用户的超低延迟设备识别，然而密码、二维码、RFID/NFC等主流方法存在人为输入限制、基于帧的传感或近接触范围的问题。本文提出ECO-ID，一种基于事件相机的可见光通信（VLC）多用户超低延迟识别光学系统。利用微秒级分辨率的异步亮度变化观测，ECO-ID采用时空编码设计：不相交的LED子集为用户提供空间分离，而用户特定的时间延迟在无需用户间同步的情况下编码身份信息。该光学通道与事件驱动传感相比帧相机减少了全场景捕获，限制了射频攻击面，同时支持带有新鲜度与重放保护的快速令牌验证。我们实现了原型系统，证明ECO-ID实际可实现约99.8%的定位准确率、98.7%的识别准确率，平均延迟为0.64毫秒，理论上支持数十个并发用户的识别规模。总体而言，ECO-ID为时间要求严苛的交互环境中的可扩展多用户识别提供了一种快速、注重隐私且具备安全意识的替代方案。
英文摘要
Time-critical interactive systems increasingly require ultra-low-latency device identification for multiple users, yet prevailing approaches such as passwords, QR codes, and RFID/NFC are constrained by human input, frame-based sensing, or near-contact range. This paper presents ECO-ID, an event-camera-based optical system for multi-user, ultra-low-latency identification over visible light communication (VLC). Leveraging microsecond-resolution, asynchronous observations of brightness transitions, ECO-ID employs a spatiotemporal coding design: disjoint LED subsets provide spatial separation among users, while user-specific timing delays encode identities without inter-user synchronization. The optical channel and event-driven sensing reduce full-scene capture relative to frame cameras and limit the RF attack surface, while enabling rapid token verification with freshness and replay protection. We implement a prototype and demonstrate that ECO-ID can practically achieve approximately 99.8\% localization and 98.7\% identification with 0.64 ms mean latency, while theoretically supporting identification at the scale of tens of concurrent users. Overall, ECO-ID provides a fast, privacy-conscious, and security-aware alternative for scalable multi-user identification in time-critical interactive environments.
Comments6 pages, 5 figures, and 2 tables. Submitted to IEEE globecom
