Face Recognition System

Project Title

Face Recognition System

Project Area of Specialization Internet of ThingsProject Summary Identify a person image from face data base, its similar to human being who identify a person he/she have already met. Given a store data base of faces, it confirms or reject the claimed identity of input face through facial recognition techniques. Face recognition is the science which involves the understanding of how the faces are recognized by biological systems and how this can be emulated by computer systems. Biological systems employ different types of visual sensors (i.e., eyes), which have been designed by nature to suit a certain environment where the agent lives. Similarly, computer systems employ different visual devices to capture and process faces as best indicated by each particular application. These sensors can be video cameras (e.g., a camcorder), infrared cameras, or among others, 3D scans. Project Objectives

The system is developed for deploying an easy and secure way of taking down attendance.
The project first captures an image of all the authorized persons and stores the information in database. It then store image by mapping it into a face coordinate structure.
Next time whenever the register person enters the premises the system recognize the  person and mark attendance and send message to parent/guardian of student automatically.

Project Implementation Method To validate our model we design a projection based face recognition system which generate numerous decisions.  Face image input    
Processing        
Template         
  Classification         
Feature Extraction
 OUTPUT. By the above method this project works as a best solution for remarking attendence where it will implemented. Benefits of the Project It’s one of the new era development of biometric identification that doesn’t require much time. This technology holds a lot of potential. It will drastically improve your security because every individual who will enter the premises will be accounted for. It will also allow to reduce the cost of hiring a complete security staff.
With today’s technology face ID is becoming more and more reliable because of its high accuracy. Technical Details of Final Deliverable The technical details for this face recognition system includes a camera and gsm device. Final Deliverable of the Project Hardware SystemType of Industry Security Technologies 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)	50000
Camera	Equipment	1	30000	30000
Thumb detector	Equipment	1	20000	20000