In this paper, we introduce the low-latency interactive sensing and processing solution for machine vision applications. The event-based vision sensor can compress the information of moving objects in a cost-effective way, which in turn, enables the energy-efficient and real-time processing in various applications such as person detection, motion recognition, and Simultaneous Localization and Mapping (SLAM). Our results show that the proposed technique can achieve superior performance than conventional methods in terms of accuracy and latency.