ABSTRACT

With the increasing in the number of anti-social activates that have been taking place, security has been given utmost importance lately. Many Organizations have installed CCTVs for constant Monitoring  of people and their interactions. For a developed Country with a population of 64 million, every person is captured  by a camera  30 times a day. A lot of video data generated and stored for a certain time duration. A 704×576 resolution image recorded at 25fps will generate  roughly 20GB per day. Constant Monitoring of data by humans to judge if the events are abnormal is near impossible task as requires a workforce and their constant attention.  This creates a need   to automate the same. Also , there is need to show in which frame and which part  of it contain the unusual activity which aid the faster judgment  of the unusual activity being abnormal.  This is done by converting video into frames and analysing the persons and their activates from the processed frame .Machine learning   and Deep Learning Algorithms and techniques  support us in a wide accept  to make Possible.

SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10

HARDWARE REQUIREMENTS:

 Processor : Core I3
 RAM Capacity : 2 GB
 Hard Disk : 250 GB
 Monitor : 15″ Color
 Mouse : 2 or 3 Button Mouse
 Key Board : Windows 08/10