EDGE-BASED REAL-TIME DETECTION OF UNSAFE EVENTS USING CNN AND YOLO
Authors:
Mrs. P. Ramya, Y. Sharan Deekshith, S. Nalanda, M. Ganesh Kumar, V. Praveen Nayak
Page No: 124-132
Abstract:
Ensuring safety in workplaces and public environments has become increasingly challenging due to the growing scale and complexity of modern settings. Traditional monitoring methods largely rely on human supervision, which can lead to delayed responses or missed incidents, particularly in critical situations. Recent advancements in computer vision provide an opportunity to automate the detection of unsafe events and improve response times.
Description:
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Volume & Issue
Volume-15,Issue-4
Keywords
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