What Is Face Detection?
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.
Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process.
A reliable face-detection approach based on the genetic algorithm and the Eigen-face technique:
Firstly, the possible human eye regions are detected by testing all the valley regions in the gray-level image. Then the genetic algorithm is used to generate all the possible face regions which include the eyebrows, the iris, the nostril and the mouth corners.
Each possible face candidate is normalized to reduce both the lightning effect, which is caused by uneven illumination; and the shirring effect, which is due to head movement. The fitness value of each candidate is measured based on its projection on the Eigen-faces. After a number of iterations, all the face candidates with a high fitness value are selected for further verification. At this stage, the face symmetry is measured and the existence of the different facial features is verified for each face candidate.
Where can we deploy Face Detection Technology?
Offices & Large Organization Buildings.
Financial Institution Buildings, and others.
Uses of Face Detection Camera
Face detection is used in biometrics, often as a part of (or together with) a facial recognition system. It is also used in video surveillance, human computer interface and image database management.
They help in evidence: If you want to use your surveillance system to collect evidence, the face detection CCTV cameras will provide you better help than cameras that can’t detect the human face. This is because these cameras are good at capturing the face of the people who walk within their fields of coverage. This makes it so easy for you to gather the evidence you need. If you have a dispute in your office, it will be much easier for you to solve it when you have a face recognition surveillance system. These cameras can provide you with the sufficient evidence that you need to know exactly what happened.
They deter crime: All types of surveillance systems help to deter crime. Face recognition systems will do much better. Criminals will be scared to break into your premise or building because they know the first thing that the surveillance system will do is capture their faces. There are times when crimes are committed by insider. When they know that the CCTV camera system has the face detection features, they may have to think twice before commenting a crime. When you view the footage captured by these type of cameras, you will instantly know the face of the person who committed a crime in your home or office building. These cameras will not only deter the criminals; it will also help you get justice when they steal from you or when they commit a crime in your home or office. This is because it will give you tangible information.
Better monitoring of activities and scenarios: There are a lot of activities that take place in a given building on a daily basis. When you upgrade your surveillance system so that it can have the face detection features, you will be to monitor these activities better. You will be able to know when a person that is not supposed to be in a given location goes into that location. You have a better idea of what is going on in different places that you are supposed to monitor. Installing face detection CCTV cameras is great way of improving how you monitor the different areas that are supposed to be effectively monitored.