Why Is The Market Of Facial Recognition Buzzing?Go Back
- Posted by Jessica Cyrus
Facial recognition is one of the biometric software that can recognize and outline the facial features mathematically and collects the information as a face print. The Facial recognition techniques use deep learning algorithms to examine live face features or digital image to the saved face print to check user identification.
Facial recognition is turning out to be one of the most exciting technologies of the present time. New age technology is known to have presented superb new ways of using facial recognition. It is the technology of the present and the future. Therefore, many companies have already started investing in this fantastic piece of technology. At the same time, more and more uses of facial recognition are being explored. Starting from using it in the phones to at the airports, facial recognition can be used in various tools and in various forms.
How Does A Facial Recognition System Work?
In facial recognition system, images through the vast database are run to identify a perfect match. Facial recognition technology is used to find out identify exact people through the video or surveillance cameras also. The facial recognition software recognizes 80 nodal features of a human face. And such nodal points are endpoints applied to map variables of a human’s face, like the length/width of the nose, the shape of the cheekbones, etc. Facial recognition programs allow the machines to recognize and distinguish between many different faces. Facial recognition has certainly come a long way since years.
Such systems are designed to identify a person’s face out of a crowd also. It is done by extracting just the face from the background. Then, it is compared to the images in the database. The facial recognition software should be an expert in differentiating the basic faces from the rest of the scene. Apart from recognizing the face, facial recognition solutions also measure numerous features of a face.
You may like to go through a Video on “Facial recognition technology will change the way we live” by The Economist
Why Do We Need New Facial Recognition Techniques?
Customary techniques of machine learning, as well as pattern recognition, generally need plenty of training data. The training data is basically demonstrative of almost each and every test data of the future. Also, all the techniques are pretty sensitive to modification, in terms of outlook, illumination, and range. Moreover, traditional systems facial recognition solutions are not capable of adapting and incorporating the latest data specifically from the test data. Also, the end objective is to look for the latest methods for pattern recognition. The new techniques are targeted to exploit the dense sensing and sparse depictions theory. All of which were basically invariant to scale, conversion as well as the modifications.
Latest Happenings in the World of Facial Recognition Industry
Recently, a new facial recognition software algorithm is being developed by experts. This software makes use of biometric functionality. The most fabulous part of this software is that, unlike other solutions, it needs only small chunks of training data.
The new version of the solution keeps on adjusting the test data when it becomes accessible in real time. The latest algorithm is capable of tolerating the modifications in perspective along with the changes in the alignments as well as the scale and variations in illumination. The new technology is regarded to be extremely effective. Data from a large variety of sensors are accessible. At the same time, the availability of the data and its use can be restricted as well as customized as per the need. Though this latest tech is for facial recognition, it is being expanded to some other spheres as well.
Best face recognition software available on the market are:
- IBM and
- Megvii etc.
How To Make Sure That Testing Of Facial Recognition Systems Is Up To The Mark?
Facial recognition seems to a complicated technology. Therefore, such solutions have to test pretty well, in order to fulfill the expectations. First of all, companies need to make sure that the security tests are run correctly. Tests should focus on comparing different sets of data, to get the best results. This is done to offer a great indication of whether facial recognition system or solution is of any use or not.
Also, the recognition systems have to be completely free from bias. This can only be made sure if the tests are run perfectly. So it’s always responsibly of a Facial recognition Automation Software Testing Company to test it for security.
Who uses facial recognition?
- Generally, so many individuals and companies use facial recognition and some of them are like:
- Mobile phone manufacturers established it in phones to makes sure that it’s only you who can operate your phone
- Social media like Facebook use face reorganization to detect people on the photo.
- Airlines use facial recognition at exit gates to scan boarding pass.
- The U.S. government has used it at airports to check people arriving and leaving to airports so who have overstayed their visas or other criminals etc.
- In Temples, Churches etc religious place to scan their groups to see who’s available.
- In education, Facial recognition technology is very useful like Facial recognition software can check the presence of the students by face and teacher could know the present-absent students.
- Marketers and promoters usually include information like gender, age, etc. so Facial recognition can be applied to determine those fans even at something like a performance.
An Infographics to know facial recognition at a glance by Venngage
When it comes to facial recognition solutions, they have to be perfect; else, they would not be of any use. Therefore, make sure several tests are performed to turn them into ideal recognition solutions. If you want to say something about facial recognition techniques, software, applications, etc. or you have a question then you can comment here or contact us. We’d also always love to welcome any ideas and queries.