Articles

Articles
Page 6

What Makes A Good Partner?

Having a good partner who understands your application and is near by can be a godsend, leading you down the correct path while giving you advice that is specific to your challenges.

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How Depth Technology Boosts Your Application

Depth Technology is becoming well established in Human Machine Interaction (HMI) and improves the intuitive interaction of humans and machines via real-time gesture detection. In addition, Depth Technology is proving itself in the more traditional fields of industrial automation, 3D-sensing machines, and inspection tasks.

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Six Reasons to Choose a CoaXPress Camera

One of the main objectives for visual image processing in production automation and industrial inspection is to achieve maximum data throughput. The increase in resolutions and higher frame rates on the sensor side produce a high volume of data for transmission.

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Why Use Frame Grabbers for Imaging Applications?

Reaching maximum throughput is one of the crucial criteria in industrial and factory automation. Increasing sensor resolutions and framerates help reaching the goal, but bring bandwidth to their limits and offer new transfer questions.

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Where to Get Best Use of 10GigE and its Advantages – Broadcasting

The latest generation of image sensors offers a high resolution of up to 50 megapixels, fast frame rates of over 300 fps, a greater bit depth and a high dynamic range. The higher volumes of data associated with these image sensors can only be transferred through a significant bandwidth increase. 10GigE is the answer to the demands of the vision industry for high speed data transfer. Its the perfect candidate for Applications in Broadcasting, Science, Telecommunications, Data communication, Industry with fast-moving items, Entertainment, Sports and Military.

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Imaging with Hyperspectral Sensors: The Optimum Design for your Application

The relevant information in many vision applications is encoded into the color of the scenery. This information in normal color cameras is extracted based on the three standard color channels; red, green and blue (RGB), respectively. This color reproduction technique is an approximation and it is often insufficient to reliably solve a given machine vision problem. Hyperspectral imaging overcomes this limitation by providing a greater number of spectral bands, while maintaining an adequate spatial resolution.

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