InspectX: Optimizing Industrial Monitoring Systems via OpenCV and WebSocket for Real-Time Analysis

Industrial monitoring systems play a crucial role in ensuring the efficiency and safety of operations. However, traditional monitoring methods often lack the capability for real-time analysis, leading to delayed responses to operational issues. To address these challenges, we present InspectX, an innovative solution that combines OpenCV and WebSocket technologies for enhanced monitoring. By utilizing OpenCV, InspectX performs precise visual inspections, effectively identifying defects and irregularities in industrial processes. The incorporation of Web-Socket technology ensures low-latency communication between devices and servers, enabling instantaneous data transmission. This integration facilitates automated alerts and insights, greatly enhancing decision-making in dynamic industrial settings. Our extensive experiments across diverse industrial environments demonstrate that InspectX significantly improves defect detection rates and overall monitoring efficiency when compared to conventional systems, setting a new benchmark for real-time analytical capabilities in industrial monitoring.

Authors

Institutions

Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/cisat66811.2025.11181870
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

InspectX: Optimizing Industrial Monitoring Systems via OpenCV and WebSocket for Real-Time Analysis

Minhui Xie, B. Liu
Anomaly Detection Techniques and Applications
article

InspectX: Optimizing Industrial Monitoring Systems via OpenCV and WebSocket for Real-Time Analysis

Minhui Xie, B. Liu
article en

Abstract

Industrial monitoring systems play a crucial role in ensuring the efficiency and safety of operations. However, traditional monitoring methods often lack the capability for real-time analysis, leading to delayed responses to operational issues. To address these challenges, we present InspectX, an innovative solution that combines OpenCV and WebSocket technologies for enhanced monitoring. By utilizing OpenCV, InspectX performs precise visual inspections, effectively identifying defects and irregularities in industrial processes. The incorporation of Web-Socket technology ensures low-latency communication between devices and servers, enabling instantaneous data transmission. This integration facilitates automated alerts and insights, greatly enhancing decision-making in dynamic industrial settings. Our extensive experiments across diverse industrial environments demonstrate that InspectX significantly improves defect detection rates and overall monitoring efficiency when compared to conventional systems, setting a new benchmark for real-time analytical capabilities in industrial monitoring.

Trine University (US), Carnegie Mellon University (US)
Openalex Percentile: Top 86%
Anomaly Detection Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

InspectX: Optimizing Industrial Monitoring Systems via OpenCV and WebSocket for Real-Time Analysis — Minhui Xie, B. Liu · (2025) | TGRS Research Map | TGRS