Abstract-We present an embedded software application for the real-time estimation of building occupancy using a network of video cameras. We analyze a series of alternative decompositions of the main application tasks and profile each of them by running the corresponding embedded software on three different processors. Based on the profiling measures, we build various alternative embedded platforms by combining different embedded processors, memory modules and network interfaces. In particular, we consider the choice of two possible network technologies: ARCnet and Ethernet. After deriving an analytical model of the network costs, we use it to complete an exploration of the design space as we scale the number of video cameras in an hypothetical building. We compare our results with those obtained for two real buildings of different characteristics. We conclude discussing the results of our case study in the broader context of other camera-network applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.