Mitov Software | VisionLab

VisionLab ( .NET Edition ) Single License

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using the Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( .NET Edition ) Single License | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using the Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and/or recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( .NET Edition ) Single License + Source Code

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and/or recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( .NET Edition ) Single License + Source Code | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( .NET Edition ) UPGRADE to Source Code-Single License

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( .NET Edition ) UPGRADE to Source Code-Single License | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) Single License

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) Single License | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) Single License + Source Code

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) Single License + Source Code | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) UPGRADE to Source Code-Single License

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Delphi/C++Builder Edition ) UPGRADE to Source Code-Single License | Mitov Software

The VisionLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for advanced computer vision. The components allow the rapid development of fully featured motion detection applications for the security industry with almost zero lines of program code. VisionLab also includes video-capturing components based on both Video For Windows (VFW) and DirectShow, so no additional components are needed to start building motion detection applications. The library is fully multithreaded, utilizes well-modern multi-core systems, and runs at full native performance. It also includes a Visual Graphical Editor for Codeless Development. VisionLab contains: Video Capture - captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB webcams, IP cameras, TV cards, PCI composite cards, and USB devices, with or without audio. Video Recorders - Records in compressed or uncompressed AVI. Video Players - Play compressed or uncompressed AVI, WMV files, or IP streams. Image Generators - images from bitmaps. Video Layers - Applies video layers over the video frames. Timing components - Clocks and Watchdog Timers. Video Filters - Noise reduction filters, crop, and resize components. Motion Detector - Detects motion in the video. Adaptive threshold - Performs Adaptive threshold algorithm for edge detection. Canny - Performs Canny algorithm for edge detection. Hough Lines - Finds lines in the image using Canny edge detection and Hough transform. Probable Lines - Finds probable line segments in the image using Canny edge detection and Hough transform. Hough Circles - Finds circles in the image using Hough transform. Contour detection - Finds contours in a binary image. Find Targets - Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component. Track Targets - Tracks moving targets on the image. The targets are tracked as strong corners in the image. Extract Robust Features - Extracts robust features using the SURF algorithm. Haar Detect Objects - Detects objects by using Haar-like features. HOG Detect Objects - Detects objects by using a Histogram of Oriented Gradients. HOG Training - Prepares Histogram of Oriented Gradients training. Label Connected Components - Label connected components in the image. Typical applications: Motion detection - Create security systems with motion detection, or activate the video recording when motion is detected. Detect objects - Detect objects with different shapes in the video. Face Detect and recognition - Detect and recognize faces in images or video. Fingerprint compare - Process and compare fingerprints in an image or video. Find and Track Targets - Find and track objects in the video.

VisionLab ( Visual C++ Edition ) Single License

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.

VisionLab ( Visual C++ Edition ) Single License | Mitov Software

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.

VisionLab ( Visual C++ Edition ) Single License + Source Code

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.

VisionLab ( Visual C++ Edition ) Single License + Source Code | Mitov Software

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.

VisionLab ( Visual C++ Edition ) UPGRADE to Source Code-Single License

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.

VisionLab ( Visual C++ Edition ) UPGRADE to Source Code-Single License | Mitov Software

VisionLab is a set of Visual C++ components for advanced computer vision. The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code. It includes Canny edge detection, Adaptive Threshold, Hough Lines, Contour Finder, Target Tracking, Face and object detection, robust features detection(SURF), Connected Components, Background subtraction, Chamfer Matching, and Contour Fitting components. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building computer vision applications. VisionLab also includes video capturing, recording, and playback components based on both Video For Windows(VFW), and DirectShow, so no additional components are needed to start building advanced computer vision applications.