EXPERIMENTAL COMPARISON OF REST AND SOAP WEB SERVICES FOR REAL-TIME FACE RECOGNITION

Haia Kablan
Latakia University, Latakia, Syria, haiakabalan3@gmail.com

Lilia I. Voronova
Moscow Technical University of Communications and Informatics, Moscow, Russia

DOI: 10.36724/2664-066X-2026-12-2-26-35

SYNCHROINFO JOURNAL. Volume 12, Number 2 (2026). P. 26-35.

Abstract

The primary objective of this study is to identify the optimal platform for IoT applications with limited resources and real-time requirements. With the development of the Internet of Things, interest in performance testing of web platforms supporting these applications has increased. This study compares REST and SOAP technologies for use in a smart home with facial recognition. Experiments were conducted on Raspberry Pi OpenCV, and testing was performed on JMeter. The results showed significant improvements in metrics: REST throughput was 1.5-5.2 times higher, latency was 2.0-2.5 times lower, and errors were reduced by 50% compared to SOAP. Based on the data obtained, an optimized web service architecture was proposed for an intelligent real-time monitoring system for a smart home environment.

Keywords:  Internet of Things (IoT), face recognition, Raspberry Pi, OpenCV, Haar cascade algorithms, LBPH (Local Binary Patterns), Web services, REST SOAP

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