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SMDT Face Recognition SDK API has Landed

Jul. 30, 2019

The development of AI technology has now entered the stage of commercialization, so what is the progress of its commercialization? Take the hottest and most mature Face Recognition Technology as an example with the good algorithm, It is also necessary to find valuable scenarios to promote the realization of technology and products, that is, through product layer overlay development, to form products and solutions, and SMDT is seen as an overall solution provider. So what areas does SMDT’s Face Recognition SDK API has been applied to?


About Security

MIPS AI Human Certification SDK

The module provides a basic module for the Android application, which is suitable for application scenarios such as a human witness comparison device and a face recognition gate. The purpose is to read the camera image, detect the face in the picture, and simultaneously perform single/binocular Live detection, face database search (1: N comparison), face comparison (1:1 comparison) and other operations.

Application Technology

1:1 comparison

Face comparison (1:1 comparison), mainly used for similar situations such as human witness comparison. Compare the photo and camera picture (or photo) to the same person: extract the face feature in the photo and the camera picture separately, then compare the two face features to produce similarity. If the similarity is greater than the set threshold, you can think It is the same person.

Application Field

1. Inspection of station, airport and scenic spot tickets

The second-generation ID card and the bill are read and verified, and the stored photos in the second-generation card are compared with the living face in front of the gate. The three-in-one verification of personnel, documents, and bills is archived and automatically opened. The brakes are released.


SMDT Face Recognition SDK API has Landed


2. Community access control management

Compared with the traditional access control management method, the access control system with face recognition technology has obvious advantages in community management. Compared with the management methods such as card swiping and password, it is more efficient and convenient. Residents do not need to carry access cards and cannot remember complicated passwords. Then again, as long as you enter facial information in the management office in advance, you can “brush your face” home, and prevent strangers from entering the community.

3. Hotel accommodation management

"Electronic house number + smart door lock" with face recognition function, automatically recognizes the customer face information through the electronic cat's eye, completes the verification within 1 second and automatically opens the door, completely abandoning the house card.

4. Attendance management for enterprises, construction sites, and parks

Face recognition attendance management can prevent the generation of punches, can achieve stranger reminders, prevent trailing into the corporate office area, protect enterprise security, and enterprises can download access control attendance records and photos, making employee attendance and access management easier and simpler.

5. Campus attendance management

Face Recognition Attendance Management can set the student's face recognition authority to control the buildings, floors, dormitory floors, teacher office places, etc. that students can enter and exit on campus to realize unmanned management, automatically generate data reports and reduce teachers' daily work. It can realize Real-time data transmission, identification data archiving and cognitive data management, and improved student attendance statistics. It can also be based on face recognition technology for efficient examination management, effectively eliminating fraudulent behaviors such as taking exams and taking exams.


SMDT Face Recognition SDK API has Landed


Application Technology

1: N comparison

Face comparison (1:1 comparison): mainly used for similar situations such as human witness comparison. Compare the photo and camera picture (or photo) to the same person: extract the face feature in the photo and the camera picture separately, then compare the two face features to produce similarity. If the similarity is greater than the set threshold, you can think It is the same person.

Application Field

1. VIP management

The merchant creates a VIP client in the background, imports the VIP client photo and edits the related information, associates the corresponding terminal grouping, and sets a specified greeting for the VIP client. When the terminal device recognizes the VIP client, the user welcomes text and voice to the VIP client in real-time. information.


SMDT Face Recognition SDK API has Landed


2. Black and white list management

After creating a whitelist or blacklist user, importing the user's photo and other related information, when the user passes the gate (access control), the terminal device compares the face information captured by the camera with the face database and recognizes it as white. After the list is successfully matched, the switch is released and the user is identified as a blacklist.

Retail sector

Face Recognition SDK API: MIPS AI Business SDK

The module provides a basic module for Android applications, which is suitable for application scenarios such as face recognition based on passenger flow statistics, precision promotion, VIP recognition, and powder sucking games. The purpose is to read the camera screen and detect the face on the screen. Identify the age, gender, mood and other characteristics of the face.

Application Technology

Face attribute detection

The face attribute detection technology can accurately identify the gender and age of the captured face, and can also provide attributes such as expression, face value, wearing glasses, wearing sunglasses, and smiling. Based on this technology, it can support human-computer game interaction, accurate advertisement push, and passenger flow statistics.

Application Field

1. The precise delivery of advertising

Through the face recognition operation to obtain the consumer's age, gender, emotion, and other attributes, switch more targeted advertising content within 1-2S, it can effectively improve the attractiveness of advertising, achieve accurate product promotion, improve purchase conversion rate.

2. Statistical analysis of passenger flow

Through the face recognition technology, it is possible to accurately calculate the male and female attributes and ages of a single passenger flow entering the store at any time. The accuracy of the male and female attributes is above 99.5%, the age accuracy is over 90%, and the error is no more than 3 years old.

3. Human-computer interaction

The advertising machine camera is used to capture the face of the device in front of the device, and the gender, age, and face value are calculated through face recognition, and the user interacts with the user to attract the customer to enter the store.





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