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s3kt0rr's Projects

automated_security_system icon automated_security_system

Recently, surveillance programs are gaining popularity. The government, various organizations, civil society organizations, etc., use these systems to evaluate various activities for safety and security purposes. So, with increased demand for security, video-based surveillance has become an important area for research. CCTV camera system is a very popular method of keeping a building or a place under surveillance. In Conventional security systems, the cameras only record and stream the video feed so that someone can watch what happened in that place at that time. But it canโ€™t prevent a burglary or canโ€™t immediately alert the authorities. In this project we proposed system to identify any individual in an institutional building from real time video surveillance footage. This method works on different level of lighting conditions with IP cameras already installed in the building without any significant error. We have implemented this project with python libraries like OpenCV, PIL, and numPY. This system is designed to Monitor, Identify, Record, and detect faces. This system will keep log data of the whereabouts of all the individuals on real time. A software system is also developed to facilitate the admin to access the system properly with the help of Python GUI โ€“ tkinter.

bulk-image-editor icon bulk-image-editor

Applies same edit to all the photos stored in the folder and produces output in other folder automatically

college_parking_system icon college_parking_system

#An Application to Manage a parking place and maintain records in a paperless way. This Application helps manage the parking place in a Paperless way. Simply enter the base fare and click or upload the picture of numberplate and checkin. When checking out click or upload the picture of numberplate. The popup will show the deating of Checkin time, Checkout time, Base Fare, Total Payable Fare, Total Duration that is charged. The numberplate is detected using contour detection and EasyOCR. ## Prerequisites 1. Python >=3.6 2. OpenCV ## Run `pip install requirements.txt`

s3kt0rr icon s3kt0rr

Config files for my GitHub profile.

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