Cameras and Machine Vision System - VisionLab

Machine vision application can automate tasks, for which they would otherwise require human involvement or could not be realized at all. Apart from human, properly functioning application of computer image analysis does not suffer from typical human ailments such as tiredness, lack of concentration or common unconcern of employees. The computer can work constantly for 24 hours 7 days a week.

Get color of a defined area

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Search in the image by average color

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Detection of a circle or arc based on the contour of an object..

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Pattern recognition using a mask in pattern.

Interactive application for arbitrary objects recognizing in an image through feature points and their descriptors.

Significant points in the image are those around which the brightness changes in several directions. For each such point, its directional orientation is also detected as a vector of the largest brightness gradient in its vicinity proportional to the scale. This information provides us with an invariance with respect to rotation. Descriptor number vectors are further calculated for the image areas around the detected points. The descriptors characterize the directions, frequencies, and dynamics of the brightness gradients of the image function around significant points. This interactive application allows you to experiment with general object detection. (download...)

Transmission of the image captured by the camera by means of data element of the data type to the projection screen located in the 3D.

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Capture scene space using a stereo pair of cameras.

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Pattern matching in an image accelerated by a graphics processor

You can use the power of the GPU to search for patterns in the image to solve tasks where alternative steps for the CPU run unacceptably long. When using steps that use a graphics processor, the computer's CPU is less loaded and the application program runs smoother. (download...)

Built-in image filters of the gl_camera virtual instrument

The interactive application shows some of the capabilities of the gl_camera virtual instrument. This instrument has image filters that can be used directly in the application without the VisionLab machine vision system. Filters use a graphics processor, so they are powerful and, in addition, their use does not burden the computer's CPU. (download...)