When most people think of face detection and face recognition technology, it brings to mind airport security, huge corporations, Facebook photo tagging, and smartphone logins. While some may feel that this modern software is a good way to make life safer and simpler, others may believe that face detection and recognition without their prior knowledge is an invasion of their privacy, and thus seek to avoid it altogether. It is important to note that those who refuse to use face detection as their phone login, who shy away from traffic cams and video monitoring, and who opt out of face recognition on social media may not be avoiding the technology as much as they believe. For those who recognize face detection and recognition for the potential that it has in marketing, security, healthcare, and other platforms, there are a few features of the technology that you should be aware of. Here are some features of face recognition that you should know about.
According to Cyber Extruder, there are actually 2 features that are important for those in the field of face detection and face recognition to be aware of. Both are said to be critical. Those features are the accuracy of the face recognition itself, and the ability for the software to integrate with other, 3rd party external systems and platforms as possible. Each of these has its own sub-features to increase the success of the application.
For the accuracy of the algorithm itself there are:
- Pose – determines how far the face can turn away from the camera while still maintaining an accurate verification of identification.
- Illumination – determines how accurate the technology is when used in various lighting settings, such as indoor lighting, outdoor lighting, colored lighting, and blinking lights that change colors.
- Shadow – determines the accuracy of the technology when shadows fall across the face, such as the shadow of a bush, another person, etc.
- Expression – determines how accurate face technology is when the person is portraying various facial expressions, despite the fact that the image in the program’s database is created using only one expression.
- Occlusion – determines the accuracy of face detection and recognition when part of the face is blocked from the camera’s view.
- Image Quality – Determines the accuracy of the technology despite such face resolution variations as blur from movement, etc.
- Spoofing – determines the accuracy of the software program when someone tries to trick the technology into falsely identifying someone, or not seeing someone.
For the ability of the software to integrate with 3rd party systems and platforms, it is important to recognize face detection and face recognition as a sensor, and an integrated system must be able to decipher the information that the sensor picks up. The face recognition system has no agenda and should not be programmed to do so. It is only created to detect a face and compare it to other faces that are stored within its database. Other platforms are needed in order for face detection and face recognition technology to perform any other task.