Abstract
Difficulties are encountered when determining placements for electronic devices to ensure coverage of a physical space. A framework for visualizing coverage and suggesting device quantities through three-dimensional space reconstruction is described. Live camera and depth data from portable electronic devices are utilized to generate a digital representation of an environment. A transformer-based neural network is employed to determine device poses and quantities based on the reconstructed space and semantic attributes. Coverage areas, areas without coverage, and unmonitored hazard zones are depicted in real-time, maintaining alignment as a device is physically reoriented. A data-driven approach for deploying equipment such as cameras, wireless nodes, and sensors, while identifying household risks like electrical outlets or kitchen hazards, is provided by this method. Information regarding various configurations is presented to facilitate selection based on coverage metrics and safety considerations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Du, Ruofei and Najaran, Mahdi Tayarani, "Electronic Device Placement via Three-Dimensional Space Reconstruction", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10289