Rakesh Khurana is an American organizational theorist and associate professor at Harvard Business School. The document provides details about Khurana's education including bachelor's degree from Cornell University in 1990, sociology degree from Harvard in 1997, and PhD in organizational behavior from Harvard in 1998. It also lists two books he authored and notes he was appointed as the next dean of Harvard College.

1. RAKESH KHURANA
Born: November 22nd 1967
Education: He received his bachelor's degree from Cornell University in 1990,
his Sociology from Harvard in 1997 and his PhD in organizational behavior from
Harvard's in 1998.
He is an American organizational theorist and an associate professor of
organizational behavior at Harvard Business School.
Books: From higher aims to hired hands, Searching for a corporate savior.
He is known for interviewing GE CEO Jack Welch at a Harvard Business School
forum.
He was officially appointed as the next dean of Harvard College.

2. Ritvika
Manoj
Jai Surya
Priyanka
Abdulla Ahmed
FACE DETECTION TECHNOLOGY

3. CONTENT
Biometrics History Applications
Advantages Disadvantages Conclusion
Meaning

4. BIOMETRICS
A biometric is a unique, measurable characteristic of a human being that can be
used to automatically recognize an individual or verify an individual’s identity.

6. FACE DETECTION
TECHNOLOGY
Face detection is a computer technology being
used in a variety of applications that identifies
human faces in digital images.
It is a function of the camera that detects human
faces so that the camera can set the focus and
appropriate exposure for the shot automatically.

7. HISTORY
• Francis Galton(1888)
Designed a biometric system for description and identification of
faces.
• In 1960s, the first semi-automated system for facial recognition
to locate the features(such as eyes, ears, nose and mouth).

8. CONTD…
• Woody Bledsoe(1964)
First implementation of automatic facial recognition.
• In 1970’s, Goldstein and Harmon used 21 specific subjective
markers such as hair color and lip thickness to automate the
recognition.

9. APPLICATIONS OF FACE DETECTION TECHNOLOGY
1. Easy people tagging:
Facebook’s automatic tag suggestion feature, which used
face recognition
to suggest people you might want to tag in your photos.
Face recognition for people tagging certainly saves time.

10. 2. Security:
Nowadays, security is becoming an important issue in our lives.
This technology is being used today from crime solving to
authentication.
Face recognition is slowly replacing password login.
Information Security Intranet security, file
encryption.
Law enforcement CCTV control, shop lifting and
suspect tracking, passport,
national ID

12. 3. Digital attendance:
Digital attendance system is being used because the digital
information is easy to process and far easy to access as compared
to manual data.

14. 4. This software help researchers to study animal population.

15. 5. Access control
6. Image database investigations

17. ADVANTAGES
1.Accurate and Fast Identification
2. High Usability and Security
3. User friendly design
4. Can identify terrorists, criminals

18. LIMITATIONS
1. Image quality
2. Isn't always accurate
3. Hindered by glasses, masks, long hair etc.
4. Considered an invasion of privacy to be watched
5. Cannot identify identical twins.

19. CONCLUSION
Face recognition technology has come a long way in the last
twenty years. Today, machines are able to automatically verify
identity information for secure transactions, for surveillance and
security tasks, and for access control.,
Next generation face recognition systems are going to have
widespread application in smart environments -- where computers
and machines are more like helpful assistants.

20. Thank you!