Introduction-to-Facial-Recognition-Technology.pptx

Introduction-to-Facial-Recognition-Technology

1. Introduction to Facial Recognition Technology Facial recognition: AI-powered biometric identification system. Uses unique facial features to identify individuals. Rapidly advancing field with diverse applications. by syed uddin

2. What is Facial Recognition? Definition Biometric technology that identifies individuals from facial features. Key Components AI algorithms, machine learning, and extensive databases. Process Captures, analyzes, and compares facial characteristics for identification. Accuracy Improving rapidly with advancements in AI and computing power.

3. How Facial Recognition Works 1 Face Detection Locates and isolates faces within an image. 2 Feature Extraction Identifies distinctive facial landmarks and characteristics. 3 Feature Matching Compares extracted features with database of known faces. 4 Identification Determines identity based on closest match in database.

4. Applications of Facial Recognition Mobile Devices Secure unlocking and authentication for smartphones and tablets. Security Systems Access control for buildings and restricted areas. Social Media Automatic tagging and organizing photos on platforms. Payments Contactless transactions and identity verification for financial services.

5. Law Enforcement and Facial Recognition Crime Prevention Identifying suspects and tracking persons of interest. Investigations Analyzing surveillance footage to solve crimes more efficiently. Border Control Enhancing security at airports and international checkpoints.

6. Facial Recognition in Surveillance Public Spaces Monitoring crowded areas for security threats. Smart Cities Integrating with urban infrastructure for improved safety. Retail Environments Preventing shoplifting and analyzing customer behavior. Private Property Enhancing home security systems with facial recognition.

7. Facial Recognition and Privacy Concerns 1 Data Collection Concerns over unauthorized gathering of biometric information. 2 Consent Issues Lack of explicit permission for facial data use. 3 Data Security Risks of breaches and misuse of sensitive information. 4 Surveillance State Fears of constant monitoring and erosion of privacy.

8. Ethical Considerations of Facial Recognition Bias and Discrimination Potential for unfair treatment based on demographics. Informed Consent Ensuring individuals understand and agree to data usage. Misuse Prevention Safeguarding against malicious applications of the technology.

9. Facial Recognition Accuracy and Bias Demographic Accuracy Rate Potential Bias White Males 99% Low White Females 98% Low People of Color 90-95% Moderate Elderly 85-90% High

10. Facial Recognition Regulations and Policies 1 GDPR (EU) Strict regulations on biometric data collection and usage. 2 BIPA (Illinois, USA) Requires consent for collecting and storing biometric information. 3 CCPA (California, USA) Gives consumers rights over personal data, including biometrics. 4 Future Policies Ongoing debates for comprehensive federal regulations in US.