employee
Yekaterinburg, Russian Federation
UDC 62
The article addresses the problem of creating a software service for real-time user eye position and movement detection. The relevance of the research is driven by the growing demand for contactless human-computer interaction interfaces and intelligent visual attention analysis systems. The aim of the study is to develop and implement a Java-based application using the OpenCV library to perform face and eye region detection. An analysis of existing object detection methods is conducted, justifying the choice of the classical Viola-Jones algorithm, which provides a balance between performance and accuracy under limited computational resources. The architecture of the software service is proposed, and algorithms for video stream preprocessing and cascade classification are described. Testing confirmed the real-time functionality of the developed solution. The article includes a listing of key program modules and an analysis of the obtained results.
computer vision, face detection, eye detection, Viola-Jones algorithm, OpenCV, Java, video stream, real-time, cascade classifier
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