Here are 5 facts that you should know about Facial Recognition Software

Facial recognition involves many different aspects and most individuals are not familiar with the concepts involved. The following are some facts about facial recognition software that you should know.

1. Face detection and analysis

The first step in facial recognition is face detection. A camera detects the face of an individual, and in most cases the face is more easily detected if the person is facing the camera. The photo is analyzed as the software detects a set of nodal points on the face. Most face recognition systems used 2D images because these are easily matched with the photos in the database.

2. Matching of data

After analysis, the photo is translated into a mathematical code. This code is unique to a particular individual; similar to a finger print. The unique face print code is matched with one in the data base which has details about the identification of the individual. There could also be other personal details about the person in the data base such as their address. In order for matching to be done, the image and details of the person must be already uploaded in the database.

3. Accuracy

The matching of data is not always accurate. In some cases, face mining systemsproduce errors when trying to identify individuals. There are many reasons as to why a photo may fail to match with any image in the database. In some cases, it could be due to low image quality, while in other cases it could be as a result of dim lighting in the area where the image was captured. There are also instances where the individual photographed has a large covering over a section of the face; this also interferes with the accuracy of the matching.

4. Misuse of data

Research has shown that most people are satisfied when AI facial recognition software is used by law enforcement agencies for security purposes. However, there are also other instances where the data on the facial recognition system could be misused. For example, the movement of a potential victim could be tracked through this system by someone who has malicious intentions. There are also other instances where employees have objected to the use of facial recognition systems by employers to track work attendance.

5. Variety of uses

In most cases, facial recognition software is used to enhance security systems. For example, an emotion detection systemcan be used to assess the emotional state of a suspicious looking individual; in this case the relevant authorities can be put on alert. Phone security can also be improved by using facial recognition software to unlock the phone.

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John Wilson Joined: July 24th, 2020