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Face Recognition in Real Time Video (APPLICATIONS (Object Identification,…
Face Recognition in Real Time Video
APPLICATIONS
Object Identification
Face Detection
Person Details Verification
Environmental Awareness
Security/Counterterrorism.
Voter verification
COMPONENTS
Face detection and Ability to identify person
Financial Stability for Security Budget
Mobile-friendly Features for Smartphone
Security Features and Functionality
History
1960: Manual Measurement by Bledose
1970s: CCTV
2000: Face recognization vendor tests
2009: Law enforcement forensic database
2017: Watchlist as a service
Face Recognition
It requires no physical interaction on behalf of the user.
It is accurate and allows for high enrolment and verification rates
It can use your existing hardware infrastructure, existing cameras and image capture Devices will work with no problems
Algorithm
Haar Cascade
Normalization
Character segmentation
Things Consider While Development
Surveillance target
Calculation of overall cost of system
Cameras Placement
Protection of all assets and personnel
Steps
Automatic process to find the closest match
Match recorded faces with those stored in a database
Recording detected faces
Face detection
Implementation
Template matching
Template creation
Distinctive characteristic location
Image processing
Image acquisition
Used Areas
Correction Institutions
Banking and Financial Institutions
Government/Business Agencies
Small and Large Retail Stores
CHALLENGES
Inconstancy in the data sets used by researchers
Less effective if facial expressions vary
low-resolution face images are very hard to recognize
Extracting people’s details
Identification of Face efficiently
Advantages
Managing database of identified person and unidentified person
Collect Data
Can reduce the crime rate
Software
Detection
Alignment
Normalization
Representation
Matching