Human Activity Recognition using TensorFlow | Abnormal or Suspicious Activity Detection

Human Activity Recognition using Machine Learning

Abnormal activity recognition and its detection becomes a major task in surveillance videos. From the context of security purposes, that it becomes more challenging to identify the suspicious events or activities in video surveillance. Surveillance closely observes, monitors and identify the behavior of any object like people, suspicious thing or any abnormal activity. Technology is increases very fast, it becomes easier to identify and detect the abnormal activities. There are a lot of techniques and methods are available in field of detection of abnormal activities.

Software Requirements :-
• Coding Language : Python
• Implementation: Software Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : Tkinter

Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.

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