Problem
Research questions and friction points this paper is trying to address.
Ultra-low latency identification
Multi-user identification
Time-critical interactive systems
Device identification
ECO-ID: Event-Camera based Optical System for Secure Multi-User Ultra-Low Latency Identification
🤖 AI Summary
This study addresses the challenges of high latency and contact constraints in multi-user interaction recognition by proposing an asynchronous spatiotemporal coding mechanism based on event cameras and visible light communication. Leveraging event-driven sensing and optical channel modeling, this approach enables microsecond-level secure token verification without requiring user synchronization. Experimental results demonstrate that the system achieves localization and identification accuracies of 99.8% and 98.7%, respectively, with an average latency of only 0.64 ms while supporting dozens of concurrent users. By overcoming traditional frame-rate bottlenecks, this work establishes a novel paradigm for ultra-low-latency, contactless multi-user secure identification.
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Event Camera
Visible Light Communication
Spatiotemporal Coding
Ultra-Low Latency
Multi-User Identification
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