@article{MB4F50EE6,
title = "Collaborative Inference Method Using Optimal Confidence Thresholds in Intelligent Surveillance Systems",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2025",
issn = "1226-4717",
doi = "10.7840/kics.2025.50.2.253",
author = "Hyun-Ho Choi",
keywords = "Cooperative inference, mobile edge computing, confidence threshold, surveillance.",
abstract = "This study proposes a novel collaborative inference method between edge device and edge server for intelligent surveillance services. In the proposed method, the device uses a small neural network (NN) and filters ambiguous input images by setting two confidence thresholds. These filtered images are then forwarded to the edge server for re-evaluation with a larger NN. Simulation results show that the proposed collaborative inference method, using optimal confidence thresholds, significantly reduces latency while meeting the required accuracy."
}