How does the facial recognition of a phone work?
We are getting used to the facial recognition of our phones, but how does this technology work exactly?
With the advent of side-by-side displays and the disappearance of fingerprint sensors, face recognition of phones has emerged. Few people know how it works. Yet behind this gadget hides a technology that promises to change the global industry: image recognition.
SOFTWARE THAT LEARN
To create a facial recognition tool, it is important to make two software coexist. The first will be able to recognize the elements that form a face. When he goes to find that these elements are close and orderly, he will recognize the presence of a face. The second software will place markers on the essential points of a face and calculate the precise distance.
Thus, the software memorizes any face thanks to its unique shape and can recognize it easily. The operation of facial recognition is therefore simple in appearance, but it brings together technologies that have immense potential. The computer vision solution is notably more and more present in the industry where it allows considerable progress.
RECOGNITION OF IMAGE SOON PRESENT EVERYWHERE?
If image recognition is of interest to both industry and professional circles in general, it is because of its potential. Image recognition software is becoming more efficient. The opportunities they offer are therefore increasingly important. In terms of surveillance as in analysis.
Indeed, so far, computers were able to process data when it was communicated to them. Now, thanks to image recognition, computers can observe their environment and draw information from it. In a factory, for example, it can identify employees who do not wear their helmets, but also improve productivity by analyzing each stage of manufacturing and various behaviors.
THE RISKS OF DERIVATIVES WHICH ANYWHERE
Of course, like all innovative technological tools, image recognition has its share of potential drift. Recently, newspapers have talked a lot about the surveillance systems that use it on the street. This is the case in China, but not only.
Thanks to facial recognition, these systems can issue fines automatically without human intervention. However, if their use is confined to industrial applications, then the drifts will be less important. Best of all, these systems could make life easier for employees.
With the advent of side-by-side displays and the disappearance of fingerprint sensors, face recognition of phones has emerged. Few people know how it works. Yet behind this gadget hides a technology that promises to change the global industry: image recognition.
SOFTWARE THAT LEARN
To create a facial recognition tool, it is important to make two software coexist. The first will be able to recognize the elements that form a face. When he goes to find that these elements are close and orderly, he will recognize the presence of a face. The second software will place markers on the essential points of a face and calculate the precise distance.
Thus, the software memorizes any face thanks to its unique shape and can recognize it easily. The operation of facial recognition is therefore simple in appearance, but it brings together technologies that have immense potential. The computer vision solution is notably more and more present in the industry where it allows considerable progress.
RECOGNITION OF IMAGE SOON PRESENT EVERYWHERE?
If image recognition is of interest to both industry and professional circles in general, it is because of its potential. Image recognition software is becoming more efficient. The opportunities they offer are therefore increasingly important. In terms of surveillance as in analysis.
Indeed, so far, computers were able to process data when it was communicated to them. Now, thanks to image recognition, computers can observe their environment and draw information from it. In a factory, for example, it can identify employees who do not wear their helmets, but also improve productivity by analyzing each stage of manufacturing and various behaviors.
THE RISKS OF DERIVATIVES WHICH ANYWHERE
Of course, like all innovative technological tools, image recognition has its share of potential drift. Recently, newspapers have talked a lot about the surveillance systems that use it on the street. This is the case in China, but not only.
Thanks to facial recognition, these systems can issue fines automatically without human intervention. However, if their use is confined to industrial applications, then the drifts will be less important. Best of all, these systems could make life easier for employees.
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