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Electrical Hazard Detection Model by Joice Mara Cesar is a document available to read on EtoBox.
This paper presents a hybrid attention mechanism and lightweight Mobilenet-based model for detecting safety hazards in key electrical sites, aiming to improve detection speed and accuracy while reducing costs. The model addresses limitations of traditional automatic fire alarm systems by leveraging deep learning techniques to enhance feature recognition in safety hazard detection. The proposed method combines spatial and channel attention mechanisms to effectively identify and mitigate safety risks in power
- Author
- Joice Mara Cesar
- Language
- EN