Real-Time Substation Detection and Monitoring Security Alarm System

• Main Authors: Yiong Y.T., Khairudin A.R.M., Redzuwan R.M.
• Other Authors: 58919842000
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: Image Processing; Object Recognition; Raspberry Pi 3B; Security; Substation; Alarm systems; Deep learning; Electric substations; Learning systems; Object detection; Open systems; Computer vision library; Darknets; Google+; Images processing; Objects recognition; Open-source; Raspberry pi 3b; Real- time; Object recognition

In real-world scenarios, conventional security alarms are commonly used to monitor and record occurrences. However, these alarms are often impractical as they lack the ability to warn security administrators in real-time when security threats are present. To address this issue, this project proposes...