Face detection is a component of facial recognition systems, and together they represent non-intrusive methods for identifying and recognizing people. Face detection and recognition are the common biometrics of choice in many security applications. The conventional use of passwords and PIN for identification has become less effective these days. So, many organizations are now motivated to improve security data systems based on biometrics. The development of biometrics approaches such as face recognition proves to be a much better solution for identifying individuals. However, the terms face detection and recognition are often used interchangeably in the field of biometrics.

What is Face Recognition?

Facial recognition system is a technology capable of identifying and matching a person’s identity from a digital image or against a database of faces, typically for identification purposes. The system uses biometrics to map facial features that are unique to an individual. Thanks to facial recognition technology, faces are the fingerprints of today. Well, the technology has been around for decades. However, in the recent years it has seen more widespread adoption. The technology is starting to appear in retail, transportation, hospitality industry, and the banking industry. It is basically a biometric tool that identifies a person based on certain aspects of their physiology. It measures a variety of facial features called landmarks or nodal points on the face. These can include distance between the eyes, width of the nose, depth of eye sockets, and more.

What is Face Detection?

Face detection is an AI based computer technology used to identify and locate human faces in digital images and videos. It is the first and probably the most essential step for facial recognition, and is used to extract human faces from digital images. This technology is used to identify human faces within a digital image or video. It simply identifies if there is a human face present within an image or video, but it cannot identify the person. Face detection is a component of facial recognition systems used for localizing and extracting the face region from the background. Besides unlocking phones, it has several application areas such as video conferencing, crowd surveillance, video coding, and intelligent human computer interfaces.

Difference between Face Detection and Face Recognition

Concept

– Facial recognition system is a technology capable of identifying and matching a person’s identity from a digital image or against a database of faces, typically for identification purposes. It is basically a biometric tool that identifies a person based on certain aspects of their physiology. Face detection is only a component of facial recognition used to identify and locate human faces in digital images and videos.

Identification

– The facial recognition system uses biometrics to map facial features that are unique to an individual in order to identify and match a person’s identity from a digital image or against a database of faces. Face detection is an AI based computer technology used to identify human faces within a digital image or video. Face detection simply identifies if there is a human face present within an image or video, but it cannot identify the person, while face recognition recognizes the face.

Face Detection vs. Face Recognition: Comparison Chart

Summary

Although the terms face detection and facial recognition are often used interchangeably in many instances, the former is essentially the first and the most important step to facial recognition. The first step begins with detecting the presence of a human face in a digital image or video. This is similar to what we see in mobile cameras – you will notice that a small box appears around the faces of people when you’re trying to capture people. This allows you to focus on specific faces. Facial recognition is a way to confirm a person’s identity using their face.

Similarities betweenface detection and face recognition

Face detection is essentially the first step to facial recognition. Finding a human face in an image/video/frame is detection and matching that face to a human is face recognition.

What is a key difference between object recognition and face recognition?

Object recognition is a computer vision technique if identifying objects present in images and videos, while face recognition is a process of identifying and confirming a human’s face from a digital image or video.

What is the difference between object detection and image recognition?

Object detection is the technology that identifies instances of objects in digital images whereas image recognition the ability to identify and detect objects or features in a digital image or video.

What are the differences between detection recognition and identification in image processing?

In image processing, detection is the technology to detect if there is a human face present or not; recognition is the ability to recognize the type of thing whether a person, animal, vehicle, etc. Identification is the ability to identify a specific person from others.

Why do we use face detection?

Law enforcement agencies use face detection to improve surveillance efforts and help track down criminals and terrorists. On a most basic level, face detection is used for unlocking mobile devices.

Who invented face detection?

Facial recognition technology dates back to the 1960s when a research team led by the renowned scientist and mathematician Woody Bledsoe, developed a system of measurements that classified photos of faces. For his work, Bledsoe is known as the unofficial father of facial recognition technology.

Where is facial recognition used?

Many smartphone applications rely on facial recognition, but the use of technology extends way beyond smartphones to includes areas such as information security, access control, smart cards, law enforcement, surveillance systems, retail, banking and finance, and more. 

Which technology is used in face detection?

Face detection is artificial intelligence (AI) based computer technology used to identify, detect, and extract human faces from digital images or videos.

How is face detection done?

It uses machine learning and algorithms to map a person’s facial features, and transforms those features into a set of digital information (data). Typically the first thing a face detection system notices is the eyes because these are one of the easiest human features to identify.

Can you use a picture for face recognition?

Many android powered phones can be tricked by pictures, but the Apple’s Face ID system is more secure and cannot be tricked by a picture.

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