person face detection through image

Project Title

person face detection through image

Project Area of Specialization Computer ScienceProject Summary

we depict an experiment to the face recognition problem by combining eigenfaces and neural network.
Eigenfaces are applied to extract the relevant information in a face image, which are important for
identification.

Project Objectives

The objective of face recognition is, from the image processing , to find a series of data of the same face in a set of training images in a database. Through image processing it will mention the name and data of the person we train the model to recognize the name.

Project Implementation Method

The 5 Levels of Autonomous Vehicles

Level 0 – No face detect
Level 1 – Face detection
Level 2 – Model training
Level 3 – Comparison of faces.
Level 4 – Comparison of face with available data.
Level 5 – Result.

Benefits of the Project

Are to recognize suspected person samoung them if any person changed physically it will recognize also but shows accuracy level low.

Technical Details of Final Deliverable

100 of GB data is collected and process by system. system will manage the data and store them in
available memory in res berry pie storage.in image format with date and time which also can
rename by the user through the Linux operating system.

Final Deliverable of the Project Hardware SystemCore Industry ITOther Industries Education , Security Core Technology Cloud InfrastructureOther Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	37980
raspberry pi 4	Equipment	1	14000	14000
camera panasonic	Equipment	1	6000	6000
power suply	Equipment	1	1480	1480
sd card	Equipment	1	1300	1300
casing and cooling fan	Equipment	1	4600	4600
router and node mcu microcontroller	Equipment	1	3800	3800
pcb and solding	Equipment	1	6000	6000
other component	Equipment	1	800	800