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How to Develop Machine Vision Applications with Matrox Imaging Library 9
Machine vision is a field of computer science that enables machines to see and understand the world around them. Machine vision applications can perform tasks such as inspection, measurement, recognition, guidance, and classification using images and video. To develop machine vision applications, you need a software development kit (SDK) that provides you with the necessary tools and functions.
One of the most comprehensive and reliable SDKs for machine vision is Matrox Imaging Library 9 (MIL 9). MIL 9 is a collection of software tools for developing machine vision, image analysis, and medical imaging applications. MIL 9 includes tools for every step in the process, from application feasibility to prototyping, through to development and ultimately deployment.
In this article, we will introduce some of the features and benefits of MIL 9 and show you how to get started with developing your own machine vision applications using this SDK.
Features and Benefits of MIL 9
MIL 9 has many features and benefits that make it a powerful and versatile SDK for machine vision. Here are some of them:
MIL 9 supports a wide range of image capture, processing, and analysis operations that have the accuracy and robustness needed to tackle the most demanding applications. These operations are also carefully optimized for speed to address the severe time constraints encountered in many applications.
MIL 9 supports platforms ranging from smart cameras to high-performance computing (HPC) clusters via a single consistent and intuitive application programming interface (API). You can use the same API for different image acquisition and processing platforms, which simplifies your development process and reduces your learning curve.
MIL 9 supports various image formats and types, including monochrome and color 2D images as well as 3D profiles, depth maps, and point clouds. You can also work with images and video delivered using the Camera LinkÂ, CoaXPressÂ, DisplayPortâ, GenTL, GigE VisionÂ, HDMIâ, SDI, and USB3 VisionÂ digital interfaces as well as legacy analog formats.
MIL 9 supports multiple programming languages, including C, C++, C#, CPython, and Visual BasicÂ. You can leverage your existing programming know-how and choose the language that suits your needs and preferences.
MIL 9 includes MIL CoPilot, an interactive environment that allows you to experiment, prototype, and generate program code using MIL 9 functions. You can use MIL CoPilot to test different scenarios, visualize results, optimize parameters, and export code snippets for your application.
MIL 9 includes Matrox Vision Academy, an online and on-premises training platform that helps you learn how to use MIL 9 effectively. You can access tutorials, videos, exercises, documentation, and other resources to enhance your productivity and reduce your development costs.
MIL 9 leverages deep learning technology to classify image content for automated inspection. You can use MIL 9's classification tools to train neural networks on your own data sets and apply them to solve challenging identification and inspection applications.
How to Get Started with MIL 9
If you are interested in developing machine vision applications with MIL 9, here are some steps you can follow to get started:
Download a free trial version of MIL 9 from Matrox Imaging's website. You can use the trial version for evaluation purposes for up to 30 days.
Install MIL 9 on your computer or device. You can find detailed installation instructions in the MIL X User Guide.
Connect your image acquisition device (camera or frame grabber) to your computer or device. Make sure you have the appropriate drivers installed for your device.
Launch MIL CoPilot from the Start menu or desktop shortcut. You can use MIL CoPilot to explore the features and functions of MIL 9 interactively.
Select a sample application from the File menu or create a new one. You can choose from various sample applications that demonstrate 061ffe29dd