Female Intruders Identification using Machine Learning

For The University of Sargodha, we will create a Female Intruders Identification System Using ML. The main goal of this system is to determine whether or not pupils are wearing the correct uniform. The issue is that departmental disciplinary officers inspect each student's uniform, which is a time-c

Project Title

Female Intruders Identification using Machine Learning

Project Area of Specialization

Computer Science

Project Summary

For The University of Sargodha, we will create a Female Intruders Identification System Using ML. The main goal of this system is to determine whether or not pupils are wearing the correct uniform. The issue is that departmental disciplinary officers inspect each student's uniform, which is a time-consuming operation to ensure that every student in the department or institution follows the dress code and is dressed appropriately. Two or three departmental disciplinary officers must devote their time to inspecting pupils' uniforms.

Project Objectives

We can cope with the issue of time consumption of departmental disciplinary officers by establishing a uniform detecting mechanism. It will not necessary for departmental disciplinary officers to physically go into each class and inspect each student's uniforms if a uniform detection system is implemented. Rather, we established a system outside the department in which only students who were dressed suitably were allowed to join the class/department. Our system will aid in the maintenance of uniform regularity in universities, which is one of the most significant aspects of academic institute rules and regulations.

Project Implementation Method

We are using Machine Learning Methodologies. 

• This system shall communicate with Windows OS and send a command to the camera for connection.
• This system shall acquire images from video frames.
• This system shall communicate with the datasets.
• This system shall communicate with OpenCV to process images.
• This system shall communicate with Keras so that it will provide a high-level neural network that is running on top of TensorFlow.
• This system shall communicate with TensorFlow for data acquisition and system training.

Benefits of the Project

• Maintains the transparency in the detection process of proper dress code
• Cope with the issue of time consumption
• Facilitate disciplinary officers.

Technical Details of Final Deliverable

• System must be able to capture video properly.
• System must be able to extract image from video frames.
• System must be able to extract ROI from frame.
• System must be able to load data set.
• System must be able to classify images on base of classifiers.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com