Smoke Recognition using Deep Learning | Image Processing Projects for Final Year Students
Desmoking and Person Detection using Machine Learning
Desmoking and Person Detection is an innovative project leveraging Python to enhance video clarity and detect individuals in obscured environments. Through advanced image processing techniques, the project focuses on eliminating smoke or haze from video footage or live camera feeds. By employing the You Only Look Once (YOLO) algorithm, it efficiently identifies and tracks human presence within the cleared frames, ensuring robust surveillance and safety monitoring capabilities. This project not only enhances visibility in challenging conditions but also enables swift and accurate person detection for various applications, from security surveillance to environmental monitoring.
Software Requirements :-
• Coding Language : Python
• Implementation: Software Framework.
• Frontend : Tkinter
• Operating system : Windows 10 / 11.
Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.
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