01 may 2019
Face as a means of paying for travel

Face as a means of paying for travel

Developments in the area of pattern recognition (human faces in particular), classification, sorting and further processing have been ongoing for many years now. But in recent years, given the growth of more and more cities to the level of megacities, and the ubiquitous increase in the population of the world’s largest cities, the need to combine identity technologies with financial transactions has become increasingly important.
While working in tandem, specialists of our association of financial and technical sectors, while developing algorithms of electronic signature on means of human face, paid attention to the need to minimize the possibility of fraud. To this end, standard recognition programmes have been introduced to detect the use of photographs, masks and other substitutions of the real face. Such developments formed the basis for the security of financial transactions carried out with the help of automatic identification of their participants all over the world.
For example, in China, an experimental system was launched in the Jinan Metro, the main task of which is to recognise a passenger by the anthropometric features of his or her face and automatically charge him or her a fee. The entire process, from identification to the withdrawal of the required amount, takes less than 2 seconds, which has increased the capacity of terminals to 30 people per minute.
The integrated use of algorithms for “snatching” faces in a huge flow of people, determining the conformity of lighting and the formation of shadows on faces and other objects recorded by video recording, reduced the number of errors to one per million operations. Such efficiency shows the high expediency of using such technologies in the entire transport system, and not only.
For example, in China, an experimental system has been launched in the Jinan Metro, the main task of which is to recognize a passenger by the anthropometric features of his or her face and automatically charge him or her a fare. The entire process, from identification to the withdrawal of the required amount, takes less than 2 seconds, which has increased the capacity of terminals to 30 people per minute.
The integrated use of algorithms for “snatching” faces in a huge flow of people, determining the conformity of lighting and the formation of shadows on faces and other objects recorded by video recording, reduced the number of errors to one per million operations. Such efficiency shows the high expediency of using such technologies in the entire transport system, and not only.

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