The service is used to verify the similarity between two faces. It can be used in the internet bank, insurance and entrance guard. In the LFW dataset, our real time accuracy is over 99%.
The service includes detection of gender, age, race, expression and face landmark. It can be used in many areas, such as photo refinement, avatar and predestination by photos.
The service is to recognize 20000 VIPs from politician, actors, sportsman or other focus persons. It can be used in automatic person detection from TV videos, suspect monitoring. The top-1 accuracy is 91%.
The service is to recognize objects or scene in photos. 2000 categories are predefined, such as clothes, home furnishing, animal, violence and pornography. It can be used in shopping, automatic album analysis and internet security, etc.
This service is used to detect whether there are pornographic contents in images.
The service is to recommend VIPs to users in news and serial videos by face detection, clustering, tracking and recognition algorithms.
On-line API:
effective, steady and massive recognition engine from the cloud server.
Off-line SDK: provide SDK grant authorization for special enterprises
with very large requirements.
Custom private cloud: recognition servers will be delivered to
authorized enterprises.
The demo includes three steps: (1)press the following white cross button and upload two images, (2)select one face square region and the square will be change to red, (3)after press the COMPARE button, the similarity will be shown. More details
After you press the following white cross button and upload one image from the left column, face attributes will be shown in the right column. More details
The demo includes three steps: (1)press the following white cross button and upload one image from the left column, (2) select one face square region and the square will be change to red, (3)after press the RECOGNIZE button, the similarity will be shown. More details
Press the following white cross button and upload one image from the left column. The detected concepts will be shown. details
Press the following white cross button and upload one image from the left column. Then the result will be shown.
If the QR code doesn't work, try downloading our demo in following ways:
Android: search and install Faceall Liveness Detection in qqdownloader.
Apple: search and install Faceall Liveness Detection in AppStore.
The demo includes two parts: (1) 68 landmark detection, denoting eyes, nose, mouse and facial profile, (2) recognition of gender, race, age, expression. The possibility is given by 0%-100%. The score is higher and the two faces are more similar.
Applications: photo refinement, avatar, and predestination by photos.
Press here and read the API documents.
Face verification is to verify the similarity between two faces. The possibility ranges from 0% to 100%. The score is higher when the two faces are more similar.
Applications: Internet pay, airport, custom, person album.
Press here and read the API documents.
Person verification is to compare one face image with one face model from person dataset. Its similarity is 0%~100%. The score is higher when the two faces are more similar. Note that it has difference from face verification, which is the comparison of two faces. The person model is trained with 5-8 faces (selected images in different views, areas, time and age). Its accuracy is 10% higher than that of face verification.
Applications: Internet pay, airport, custom, person album.
Press here and read the API documents.
Celebrity recognition is to recognize the VIP(politician, actors, movie and sports stars, or famous people) faces from faces, or tell you whom the testing face is mostly like(top 50 candidates are given). If the possibility outputs are lower than 5%, it means that the testing face is not included in our VIP database(there are over 20000 VIPs face models). Its possibility ranges from 0%~100%.
Applications: automatic person detection from TV videos, target suspected person monitoring.
Press here and read the API documents.
The uploaded image will be classified 2,000 categories, such as clothes, home furnishing, animal, violence and pornography. Its possibility ranges from 0%~100%. The score is higher and more reliable.
Application: product recommendation, automatic album analysis, internet security.
Press here and read the API documents.
Image retrieval can identify objects contained in the image. System will make comparison between user's picture and 100000 pictures of the server side. And it will display the most similar 50 pictures.
Application scenarios: the retrieval of public security system, the rapid retrieval of digital library.
Beijing FaceAll Co. is Beijing Software & High-Tech Enterprise, authorized by Beijing Government, China. It was founded at 2015, and is Angel invested by Huami(Xiaomi Bracelet) Co. in China at 2016, and is Pre-A invested by Qingdao Dingyuan Co. at 2017. We focus on the algorithmic core technology innovation of face recognition, image recognition and video retrieval by machine learning and especially deep learning algorithms. Many of our key members have working experiences at top 500 Enterprises in the world. Our vision is to develop the best face recognition and image recognition software services for related enterprises.
We have achieved many rewards in world-level multimedia retrieval, image recognition and face recognition benchmark challenges. The online API service have been developed for individuals and businesses, including face detection, face verification (1:1), face identification (1:N),face landmark detection(5 points, 27 points, 68 points, 194 points), celebrity recognition, face attribute analysis(genders, age, races) and object/scene recognition.
We present world-level real-time software services on:
1. Face Detection In world-level face detection benchmark at FDDB, we have achieved the accuracy at 90%. [1], which means good performance in world-level.
2. Face verification (1:1) In face verification benchmark at LFW, we have achieved the accuracy at 99.67%[2], which means good performance in world-level, when Google achieves the accuracy at 99.65 in the same benchmark corpus
3. Face identification (1:N) In Megaface 2015 face identification benchmark, when searching 1 face from N=1million faces, our engine has reached 76.6% accuracy, when Google has reached the 70% accuracy in the same evaluation set [3].
4. In the aspect of 68 face landmark points detection, we achieved an error rate of 5.31% in the 300 Faces In-the-Wild Challenge (300-W), better than the best performance of 6.31% in the literature.
5. We have over 20000 celebrities face corpus, so we could recognize much more famous person's faces in the world.
Our image recognition engine could recognize over thousands of objects/fields. It could also do pornographic image detection, and terroristic picture (such as ISIS, bomb, gun, terrorist faces).
We do not only make effort on theoretical face recognition and image recognition technology benchmark, but also work on the recognition to the real field’s faces and images, to make our engine the best face recognition and image recognition engine in the world.
We have world-level business cooperator of telecommunication operator , telecommunication manufacturer, internet service provider , in the Service at automatic TV video analysis, entrance guard, internet payment, checking passports and pornographic photo detection , advertisement recommendation etc.
We present free face recognition service, free image recognition service, free pornographic image detection service with limited open API calling times every 24 hours.
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Address: 12 floor, Technology Building of Beijing University of Posts and Telecommunication, Beijing, P.R.China
Postcode: 100876
Tel: +86 010 82205049
Technical Support: contact@faceall.cn
Business Cooperation: business@faceall.cn
Human Resources: hr@faceall.cn