Tauseef Nawaz
FAST
· 2021
·
i17 - 0149
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2021
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Flask Framework, jQuery, Open CV, Pytorch, Yolo V3, Conv LSTM
Verbatim text
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OJO – Smart Surveillance System OJO is a web-based surveillance detection system. OJO which means an “Eye” in Spanish is a a project that aims to enhance the detection and prevention of crimes in organizations, like a Company or bank, by exploiting the full potential of video surveillance systems. Features include: Web-Based Admin Dashboards: We will provide friendly Admin Dashboards for the following people to monitor the Activity. 1. Security Staff (Control Room Staff) 2. Manager (Administrator of the Website i.e. Security Manager) Weapon Detection: Aggressive Behaviors Detection: Alert of Activity: If our system will detect any behaviors like this then our system will generate a prompt On the screen by making the screen red. Our system will have 3 options/level: Level 0: If the detection is caused by the security Staff. The Administrator will Simply ignore it. Level 1: The Administrator will have an option to alert the near police station by an Emergency number. Level 2: If the Security Staff will not respond then it will send a notification via SMS to the Manager. This feature will be available only for the Staff’s dashboard, Not the Manager’s. Detected Activity Log/Report: User Logs: Add/Remove/Update Resource Management: Technology Used: Flask Framework, jQuery, Open CV, Pytorch, Models (Yolo V3, Conv LSTM) Supervisor Name: Mr. Hassan Mustafa Group Members: Muhammad Shehroz Wali Khan (i17 - 0308) Tauseef Nawaz (i17 - 0149) Muhammad Shurahbeel (i15 - 240)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 222
Created: 1778226128