I. Security field
There is a natural coincidence between security and face recognition, so face recognition technology was first widely used in the security field. For example, face recognition technology has played a very important role in recognition engineering, intelligent transportation, public security management, access control management and so on.
Technically, AI at this stage has basically achieved three main objectives of security monitoring:
1. Identify the physiological attributes of pedestrians.
By analyzing the body structure of pedestrians, we can accurately identify the physiological characteristics of the characters in the video, such as gender, age, posture and so on.
2. Identify pedestrians and vehicles.
The pedestrian detection algorithm based on deep learning can accurately find out the position of pedestrians under various occlusion conditions, and can further analyze the posture and movements of pedestrians, which can be applied to traffic monitoring, assisted driving, unmanned driving and so on. Vehicles with different angles can be detected in driving scene, traffic monitoring scene and bayonet scene, and the physical characteristics such as license plate number, car brand, model and color are given.
3. Realize crowd analysis.
In public places with large traffic and high density, including subways, stations and squares. , estimate the number and density of people, and detect many abnormal phenomena such as over-density, abnormal aggregation, detention, retrograde, chaos and so on.
The application of face recognition technology is closely related to people's work and life, such as face recognition attendance, face recognition gate and face recognition guest machine, which are applied in office buildings, communities and other occasions.
Schmeitai's smart security solution includes face recognition gate and face recognition visitor management, which has been further improved in safety, convenience, comfort and management control.
Second, the commercial field.
The rise of unmanned economy has become an important opportunity for face recognition technology to enter the commercial field. Face recognition technology is an important support to realize driverless economy. As the media that can best represent people's identity information, human face creates a data portal for unmanned economy.
Face recognition technology can help businesses get through membership information. In the past, customers could only know their identity if they took out their membership cards. However, through intelligent terminals equipped with face recognition technology (such as intelligent digital signs), customers can automatically identify themselves with AI system when they enter the store, and then remind the waiter through the terminal equipment. VIP members have entered the store, providing each other's core information and user portraits in a visual form, so that waiters can provide quality services for special customers in advance.
At present, smart vending machines have also realized face recognition payment. Take Mattel's face recognition intelligent vending machine solution as an example. When the member system is docked with the automatic retail system, the user registers as a member and recharges the account. After that, you don't have to use mobile phones, cash, etc. When buying goods, just brush your face and complete the ultimate experience of payment and delivery in 3 seconds.
Third, the financial sector.
Face recognition technology also shines in the financial field. Alipay's face-brushing login payment is familiar to everyone, and you can log in and pay by brushing your face.
A number of banks have upgraded ATM machines, and all the face recognition technologies they carry adopt the latest infrared binocular camera live detection technology, which can completely resist photos, face-changing videos, remakes and mask attacks. In addition, they also have silent living, moving living, lip language living and other living test methods. In addition to face recognition, users also need to enter their mobile phone number or ID number for identity confirmation, and finally withdraw money by key.
Fourth, intelligent self-service terminal.
With the development of information technology and the improvement of industry service efficiency, unmanned service has become the general trend, and the demand for self-service terminals has entered a period of rapid growth. Intelligent self-service terminals have been extended to banking, telecommunications, education, medical care, transportation, retail and other industries and fields. Face recognition technology has also been applied in self-service terminals.
For example, the self-service terminal of identity certificate can verify the identity information of the agent in real time through face recognition technology, which brings great convenience to the masses, reduces the work pressure of the window police and improves the work efficiency. Most of the core motherboards with face recognition function are Mattel IoT-3288 series artificial intelligence motherboards. With the algorithm of Shangtang Technology, the accuracy rate reaches 99.5%, which can bring a better use experience when actually serving the people.
Verb (abbreviation for verb) entertainment field
Face recognition technology is also widely used in the entertainment field:
1, based on intelligent face detection and positioning technology, can create a mobile beauty, beauty effect solution.
Using the technologies of face key point tracking, gesture recognition and background segmentation in face recognition, more diverse cool effects can be achieved in the scene.
Smeitai believes that face recognition technology is being further improved to solve the lighting problem in more complex environment, and will play a greater role in the construction of smart cities and bring people a smarter life.