Facial Detection and Recognition for sports events
A facial recognition system is a technology capable of identifying or verifying a person from a digital image. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given
Project Title
Facial Detection and Recognition for sports events
Project Area of Specialization
Project Summary
Introduction:
A facial recognition system is a technology capable of identifying or verifying a person from a digital image. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape.
Summary :
This project is about how to prevent uncertain flaws govern in any sports event, base on the rules and regulation of the sports event being held.
it will firstly detect the faces from a team photo of a certain team and certain players who are registered under any fedration of sports and gather them as one team and keep it inside its data base , while after detection phase it will recognise the certain team players and attach a label over them thus in uncertain circumsances if any player registered under a fedration will only be allowed to play for their own fedration under which he/she is registered.
it will detect and recognise the players by facial detection and labeling.
Project Objectives
- A facial feature based method that will be able to detect the presence of a person from a digital image.
- We will test the proposed technique at different scenarios.
- The proposed technique will detect and recognize facial features from given digital image
Project Implementation Method
deep learning techniques using python and different libraries i.e
keras
tensor flow
open CV
delip
pyimage search
Benefits of the Project
- No bio metric recognition required.
- No human interaction required with the system.
- Safe and secure.
- No high level knowlegde of computers required.
- Law enforcement.
Technical Details of Final Deliverable
- A desktop application that will detect the facial features of the digital image.
- The application should also detect and recognize from its training data.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 0 |
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