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"Dynamic Vision App for HALCON"

With the "Dynamic Vision App for HALCON" you can easily execute your image processing tasks developed with HALCON on an IDS NXT camera. Time-consuming vision app development in C++ is no longer necessary for HALCON users! It’s made possible by the "Dynamic Vision App for HALCON". The perfect complement for your image processing development.

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Line scan mode with one click

Benefit from the new "User Set Control" starting with IDS Vision Firmware 1.7 by saving and reloading optimally configured camera settings very easily. Access complete camera parameter sets from the camera memory with just one click. With manufacturer "presets", you also benefit from new camera modes such as line scan and long exposure and thus cover a much wider range of applications with your area scan camera.

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Triggering according to the Lego principle

We are all familiar with them. The colorful plastic bricks with the patented stud system, which allows you to combine the bricks in any way you wish and let your imagination run free. The Lego principle is as ingenious as it is simple and has turned out to be a recipe for success. The world of machine vision has made good use of this principle.

With the release of IDS GigE Vision Firmware V1.5, IDS has greatly enhanced the IDS vision cameras by adding many standard features from the GenICam Standard Feature Naming Convention. With the IDS Vision Cockpit, IDS also provides you with an ideal demo tool, which you can use to reconstruct and thoroughly test each of the trigger cases described here.

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Bandwidth under control with IDS GigE Vision cameras

GigE Vision cameras transmit image data in small packets over the network, even before a captured sensor image is read out completely. This minimizes the delay of the image transfer. However, if too much data is transferred at the same time, the maximum bandwidth of a GigE network can be exceeded very quickly.

Especially multi-camera applications are affected. This results in transmission losses and increased transmission times if data has to be requested repeatedly. The GigE Vision Standard allows the configuration of transmission parameters to avoid such situations. Easily manage the available bandwidth with the extended settings of IDS GigE Vision firmware 1.3.

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Embedded Vision Kit: Prototype development with the uEye Python interface and OpenCV

The evolution of the classical machine vision towards embedded vision is rapidly evolving. But developing an embedded vision device can be very time consuming and cost-intensive. Especially with proprietary developments you may lose a lot of time until the first results are available.

Today, there are a number of suitable embedded standard components that allow out-of-the-box testing. In combination with qualified software solutions, the first insights for vision applications can be derived very quickly.

Our TechTip shows in a few simple steps how to implement a simple embedded vision application with a uEye camera and a Raspberry Pi 3.

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