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FaceSDK is described to be having the ability to enable the Microsoft Visual Objective C, Java, Swift, VB, Delphi, Linux, as well as Python developers in order to create a 32-bit as well as a 64-bit application for the windows, Linux, Mac OS, iOS and find a leader Android along with the face recognition and the face base biometric identification functionality which is present for the users and the developers. It is basically used in hundreds of the applications for the process of identifying as well as authenticating the users with the help of the webcam as well as looking up the matching faces in the database of the photo and automatically detecting the facial features write in the editor of the graphics and detecting the faces in the images as well as the video stream in real time. It should be added that the FaceSDK has been used for the creation of a secure identification surveillance along with time and the control system of the attendance. The tracker API of FaceSDK has the ability to offer the developers as well as the users with a very powerful, self-learning AI which is mainly used for the process of implementing the real-time face identification and also for tracking the live video streams. It has the ability to implement automated face tracking in the live video stream along with the simple function call for the user and developer. Developers are capable of constructing a self-learning as well as a retraining process which is greatly improving the recognition of the rate as well as the face appearance at different angles during the condition. FaceSDK has the ability to empower to Microsoft Visual and the customers have been successful in creating a security monitoring as well as Access Control along with the surveillance system which is based on the FaceSDK. It also has the ability to support the ARM-based Linux system and permits the user and developer in order to create a face recognition as well as identification technology right into an embedded Linux platform just like the Raspberry PI. It should be added that the FaceSDK has the ability to use a set of Innovative technologies among the beach are the invention which is protected by the US patent. It is basically designed in a way in order to perform equally well very enlightening condition and it is capable of working fine under the daylight. It is believed to return the coordinates of all the human faces that are appearing in the picture and this has the ability to make it very easy for the user to implement and enable the counting of the people.
Luxand FaceSDK Great Features:
It has the following features and attributes that are stated as below such as:
It has the ability to support each and every webcam which is in the market including the MJPEG which is very compatible.
It has the ability to detect the human faces right on the images from the thermal cameras in order to measure the body temperature as well as the screen for fever.
The automated expression recognition just like the blink and smile is still and present in the videos.
The automated gender as well as the age recognition is still present in the videos.
It has the ability to detect 70 facial features along with smooth facial features right in the process of tracking in the video.
It has the ability to detect faces in a fast and precise manner even if the person is wearing a mask.
The stable face recognition process has the ability to provide a robust result to the lighting condition.
There are no predefined templates as well as no subject enrollment required in this case.
It has the ability to track the moving object as well as received the programmed alert which is on the subject re-appearance easily and flexibly.
The user does not require a separate visual camera in order to detect the faces on the thermal streams.
It has the ability to ensure the users and developers no memory leaks or lockups.
It is described to be having a very high performance as well as a multi-platform face recognition along with the identification and the facial detection solution of the features.
It has the capability to provide very fast and highly reliable identification which is based on the recognition of the live video.
It has the ability to be used in order to create animated 3D models of the human faces that are based on the single image.
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