FindFace Enterprise Server SDK 2.0 allows you to channel the power of its neural network into any kind of app in a vertical market like Retail Analytics (people flow, client behaviour people count…), Verification IP (VIP), Fraud Prevention and Access Control.
By using the NtechLab powerful facial-recognition algorithm it can process facial recognition in live video streaming and video footage.
FindFace redefines the industry standards as it enables new applications which were impossible prior to its existence. The tool uses a proprietary neural network which has been trained to near-perfection on 20,000,000 photos. Its performance is at the highest speed and accuracy, which is proven by an NIST 2017 certification and MegaFace challenge in 2015.
The World´s Best Performance
- Thanks to FAST INDEX technology FindFace Enterprise Server SDK 2.0 can search through a database of a billion faces in less than half a second.
- The index needs just 20 GB for 500 million photos.
- Its Video Detector System detects, verifies and identifies faces on video streaming.
Its unique neural network operates with an error rate as low as 1 in 1,000,000.
- 99% Face verification accuracy (1:1). Comparing faces to identify if they belong to the same person or not.
- Face identification (1:N). 95% rank-10 probability among 10K photos
Emotions, Gender and Age. The software recognizes people’s facial expressions and it detects primary and secondary emotions.
- It can detect a person’s age with 95% accuracy in 5 years’ intervals.
- It can detect a person’s gender with 99% accuracy.
FindFace Enterprise Server SDK Features
It can be integrated in any web, mobile or desktop application
The FindFace Enterprise Server SDK runs with all data reliably stored on your own servers so you can relax. It can be easily integrated in any web, mobile, or desktop application in a prompt and unified manner, thanks to having cross-platform REST API on board.
Images and Data Stored on the Client Servers
All data and vectors are stored in the client’s servers, to guarantee it will neither be transferred nor stored by third parties.
Identification, Face Verification, Age Detection, Gender and Emotions
We provide you with documentation, a set of tools, and various examples in several programming languages which will help you to embed face enrolment, identification, and verification capabilities into your system.
Highest Speed and Accuracy Proven
Its performance is at the highest speed and accuracy, proven by NIST 2017 certification and MegaFace challenge in 2015.
Thanks to the smallest face descriptor in the industry (coming in at just 1.28 KB) and a unique proprietary search index, FindFace technology can scan billions of photos in less than half a second.
Our unique neural network operates with an error rate as low as 1 in 1,000,000. With a dataset of 10,000, its accuracy rate is over 95% in identification and over 99 % in verification.
(Therefore, not less than 95% in the vast majority of business use cases.)
Face Recognition New Generation
Whenever a person passes in front of the camera the Best Shot technology will help us determining the most appropriate frame (best shot) to perform facial recognition within the captured sequence. Only the best shot will be treated and stored. As a result, there is a huge reduction in network load and bandwidth requirements. You will also be able to free up resources or to reduce the hard disk requirements on the server.
Facial Recognition Pipeline