The FACEPORT.OCX ACTIVEX allows fast use, development and implementation of facial recognition capabilities in existing or newly designed applications. The component provides an easy to use Methods, Properties and Events that simplify the facial recognition development process.
The FACEPORT ActiveX was specially designed for embedded environments like
Intel ATOM CPU, and runs very well on Low performance CPU as well as high performance CPUs. The component supports Web Cameras, IP or Analog cameras through external an injection mechanism. The component includes internal web camera management. The component contains an internal Database that provides fast yet reliable management of the matching subjects.
FACEPORT SDK
The FACEPORT FRS SDK allows third-party developers to implement our advanced facial biometric technology within their own security applications. The SDK provides tracking, enrollment, verification, classification, database, communication, and multimedia controls.
Applications
Security
- Access Control
- Suspect Detection
- Time Attendance
- Web Login
- PC Login
Commercial
- Repeated clients
- Interactive Content
- Customer counting
- Graphical Applications
Licensing
SCREEN SHOT OF ACTIVEX RUNNING Face Recognition Database
- Jet 4.0 - MS Access database (Optional: ODBC)
- Log Database : Jet 4.0 MS Access database
- Provides all interfaces necessary to Add, Delete and Retrieve biometric templates, images and users from the central database.
Properties
| Name of Property | Description |
| NoOfFramesForValidation | Min. number of frames for validation |
| NoOfFramesForEnrollment | Min. number of frames for enrollment |
| FaceConfidenceThreshold | |
| MinimalIOD | Min. Inner distance between 2 eyes (Default 60) |
| MaximalIOD | Max. Inner distance between 2 eyes (Default 1500) |
| FaceQualityThreshold | |
| MatchingThreshold | Min. value for matching |
| FAR | Will be calculated from matching threshold (theoretical value) |
| MatchingAttempts | number of matching attempts |
| AllowLiveness | Boolean - will define if we need to use liveness test |
| LivenessThreshold | how strict to check for Liveness in an image.(default 50) |
| MaxRecordsPerTemplate | |
| AllowAging | Boolean - will define if we need to use aging+ |
| AgingMinimalThreshold | |
| EnrolledFaceImagePath | |
| RejectedFaceImagePath | |
| ValidatedFaceImagePath | |
| LogDBPath | |
| FRSDBPath | |
| IsRegistered | returns true if registered |
| FRR | Will be calculated from matching threshold (theoretical value) |
| Camera | Gets/Sets the currently selected Camera |
| VideoFormat | Gets/Sets the Currently Selected Camera’s Video Format. |
| FlipImagesHorizontal | Gets/Sets value whether to Flip the Images Horizontally |
| SaveEnrolledFaceImage | Gets/Sets value Whether to Save the Learned/Enrlolled Face Image to harddisk |
| SaveRejectedFaceImage | Gets/Sets value Whether to Save the Rejected Face Image to harddisk |
| SaveValidatedFaceImage | Gets/Sets value Whether to Save the Validated/Matched Face Image to harddisk |
Events
| Name of Events | Description |
| CameraOpened() | |
| CameraClosed() | |
| NewCameraFrame(bitmap image) | for every new frame |
| ExceptionHappened(string Description, int ErrorNumber) | |
| FaceLearnt(int FaceQuality, float Similarity, float FaceConfidence, int IOD) | after new enrollment |
| FaceValidated(int FaceQuality, float Similarity, float FaceConfidence, int IOD) | after validation |
| FaceLearningFailed(int ErrorTypeID, String Description, int FaceQuality, float Similarity, float FaceConfidence, int IOD ) | after failure of enrollment |
| FaceValidationFailed(int ErrorTypeID, String Description, int FaceQuality, float Similarity, float FaceConfidence, int IOD) | after failure of validation |
| FaceDeleted() | after deletion of face |
| LogOverflow() | when log record number is above 500K records |
Methods
| Name of Method | Description |
| InitializeFRS() | |
| OpenFRSSettingsDialog() | open face recognition component configuration |
| Bool LearnFaceFromCamera(string FaceID) | |
| Bool LearnFaceFromImage(string FaceID, string ImagePath) | |
| Bool ValidateFace(string FaceId) | |
| Bool OpenCamera(string camera) | |
| String[] GetRejectedImagesByFaceID(string FaceID) | |
| String[] GetRejectedFaceIDsFromDate(string FromDate, string ToDate) | |
| DeleteRejecedImagesFromDate(string FaceID, string UpToDate) | |
| DeleteAllRejecedImagesFromDate(string UpToDate) | |
| String[] GetImagesByFaceID(string FaceID) | |
| DeleteFaceID(string FaceID) | |
| Bool DeleteFaceIDImages(string FaceID, string UpToDate) | |
| Float MatchImageWithFace(string filename, string FaceID) | between the two faces |
| AddToLog(string timestamp, string type, string data) | |
| ClearLog() | Clear Log db |
| String[] GetConnectedCameras() | |
| CloseCamera() | |
| ShowCameraPreviewDialog(int x,y)- -1,-1 | center of screen |
| bool SaveSnapshot(string Filename) | |
| PlaceImageAnnotation(string TargetFilename, string Data) | |
| InjectImage(ByVal HImage As Long) | Injects an Image using it HBITMAP or Image |
| HandleInjectImageFromFile(ByVal fileName As String) | Injects an Image from a File |
No comments:
Post a Comment