Advance Ultravision - Blog: Computer Vision

Showing posts with label Computer Vision. Show all posts

Application: OCR without using any Vision library

For more details, please visit reading-bingo-balls-with-microcontrollers

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Advance Ultravision is the main distributor of Industrial Machine Vision products and components in Malaysia. We specialized in Machine Vision software such as Machine Learning, Deep Learning, Machine Vision Software Library, and 3D Machine Vision.

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Vincent Hua is a Malaysia-based Machine Vision sales engineer, an ex-Machine Vision cum Automated Machine software engineer. Specialized in a machine vision system for Semiconductor / Electronics / Automotive sector.

Working with Tuples - MVTec HALCON

In this tutorial, you will learn how to work with control tuples in MVTec HALCON. We will go through the different categories of operators, like the creation, selection, comparison, and conversion of tuples. For each category, we will show you some of the most used operators. We will also have a look at the inline variants all tuple operators provide. Additionally, we will give you some use cases that may help you when working with tuples in HDevelop. Lastly, we provide some performance tips.

Content
0:00 Introduction
0:51 Creation
1:14 In-line operations
1:38 Arithmetic
2:14 In-line operations example
2:56 Sets
3:05 Features
3:45 Comparison
3:56 Element order
4:26 Manipulation
4:34 Selection
5:12 Type
5:24 Conversion
6:03 String operations
6:42 Logical operations
6:55 Bit operations
7:06 Performance tips

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Basic Optic: Field of View

Field of view is critical for choosing the correct optical components to use in an imaging application. Since resolution (http://youtu.be/JnsmukQlbBs) is dependent on field of view, determining field of view affects what one is trying to analyze or measure.

Gregory Hollows, Director of Machine Vision Solutions, demonstrates the importance of field of view by examining circuit boards of different sizes.

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Basic: Finding the Edges - Canny Edge Detector

Taking edges one step further with Hysteresis Thresholding - The Canny Operator explained by Image Analyst Dr Mike Pound.

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* Basic: Finding the Edges - Sobel Edge Operator

Our eyes can spot edges without problems, but how do computers determine what's an edge and what's not?

Image Analyst Dr. Mike Pound explains the Sobel Edge operator.

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Basic: What is Telecentric Lens? What are the Pros and Cons of a Telecentric Lens?

Telecentric lenses utilize a unique optical design concept to maintain constant magnification over a specific field of view and working distance to minimize perspective error. Telecentric lenses are incredibly useful in gauging applications.

Join Gregory Hollows, Director of Machine Vision Solutions, as he compares standard imaging lenses to telecentric lenses in three distinct imaging examples to illustrate the importance of using the correct imaging optics and optical principles to obtain the best measurements.

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Basic: Machine Vision Camera and Camera Interfaces Introduction

This video introduces the parts of a machine vision camera.

There are five standardized interfaces for machine vision cameras. This video outlines the properties that differentiate the interfaces and allow the machine vision system developer to select the right interface.

The following five each one describing a particular interface -- Camera Link, GigE Vision, USB3 Vision, CoaXPress, and finally Camera Link HS.

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Basic: How Computer Vision Work?

Today we’re going to talk about how computers see. We’ve long known that our digital cameras and smartphones can take detailed images, but taking pictures is not quite the same thing.

For the past half-century, computer scientists have been working to help the computer understand the imagery they capture.

From tracking hands and whole bodies, biometrics to unlock our phones, and giving autonomous cars the ability to understand their surroundings.

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How To: How Image Filters Work - Basic Machine Vision

Image filters make most people think of Instagram or Camera Phone apps, but what's going on at pixel level?

Image Analyst Dr. Mike Pound explains some of the most common filters.

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Application: Vision Sort Labeling Solution with HALCON - MVTec

Vision Sort Labeling Solutions (http://www.visionsort.org) has recently signed on several big Central California packers as new customers for its Produce Traceability Labeling Technology.

The company’s latest technology provides much-needed solutions to the Fruit & Vegetable Packers and Plant controls needs.

Vision Sort has also reduced error on labeling to almost zero, made possible by a combination of software (HALCON) and hardware integrated to maximize control over material handling, box and size recognition, and label application.

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How To: Deep Learning Anomaly Detection with MERLIC - MVTec

In this tutorial, you will learn Anomaly Detection.

We will take a look at the example application “detect_anomalies_of_bottles.mvapp”. We will also learn how to use MVTec MERLIC’s new “Detect Anomalies”-Tool.

Content
0:00 Introduction
0:38 What is Anomaly Detection?
1:56 Example “detect_anomalies_of_bottles.mvapp”
2:56 Training with only “good” images
4:00 Results inside the Creator
4:34 Training with the addition of “bad” images
5:25 Visualization within the Frontend
6:11 Outro

In this video, MERLIC 5.0 is used. http://www.merlic.com/

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Webinar: Singulate Crowded Scans Using Part Detection - LMI Technologies

This webinar addresses a common issue of crowded scans and difficulty isolating discrete items in your scan.

We cover how to use Part Detection to find and identify many crowded items. Then demonstrates how to adjust Part Detection settings to singulate items in a scan.

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How To: Image Filters Technique - MVTec Halcon

In this tutorial, you’ll learn about some of the most used image filters in MVTec HALCON, how they work, and the application.

First, we will look at smoothing filters, such as mean_image and median_image, and how filter masks work. Then, you’ll get to know some arithmetic filters, like sub_image, invert_image, and scale_image.

Next, we have a look at many different applications that we can solve with these filters. You’ll learn about what to look out for when using filters on images with reduced domains.

0:28 How mean_image and median_image work

2:26 Some examples for arithmetic filters

2:57 Application examples

5:25 Reduced domains and image filters

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How To: Gocator Scripting Tool - LMI Technologies

Join two of our expert Application Engineers for the Scripting Tools 101 webinar.

They will show how to set up the Gocator Script Tool, provide examples showing how to retrieve measurements, outline some limitations of this tool, and offer debugging tips.

Using the Script Tool, users can write a customized script to use measurements from other tools and perform specific calculations to output their required measurements. This feature enables you to customize your application.

0:00 Introduction

1:03 Agenda

2:05 Script Tool Introduction

4:41 Demo: Changing Measurements Units

10:31 Demo: Averaging Measurements Over a Number of Frames

14:13 Q&A

18:11 Common Applications

18:48 Limitations

19:37 Things to Keep in Mind

20:36 Q&A

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Sample Application: 3D Smart Sensors in Electric Vehicle Inspection - LMI Technologies

In this presentation, we will introduce battery inspection applications using single and multiple 3D Smart Sensors.

We will discuss measurement requirements for conducting QA on battery and automotive production and how Gocator solves these challenges.

We will also provide a brief overview of some of the measurement tools used in these applications.

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How To: Integrate MERLIC with MQTT - MVTec Merlic

Good integration of your machine vision application into the manufacturing process can increase product quality and efficiency.

The MQTT protocol is to establish fast and lightweight communication between machines on modern factory floors.

Curious? Watch our new MERLIC video. You will learn how to integrate your MERLIC vision application into an MQTT network. And how to control it from a tablet.

In this video, MERLIC 4.8 is used. Learn more about MVTec MERLIC at www.merlic.com

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Gocator + UR Cobot Cap Pick and Place Demo - LMI Technologies

Field Application Engineer Team Lead Michael Fisher demonstrates how to use an LMI 3D machine vision system for 3D pick and place applications with a UR robot.

He scans an earbud with a Gocator laser line profiler to locate the stem of the earbud, communicating that location to the UR robot arm to pick it up and place it inside the earbud case.

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AI and Machine Vision Solution for Meat Processing - LMI Technologies

Automated inspection maximizes yield and minimizes operating expenses in meatpacking factories. We expand on-site support teams with world-class software and AI engineers.

Learn more at: https://lmi3d.com/factorysmart-ai-introduction/

Meat Processing - Loin Sorting Application

Meat Processing - Loin Pull Grading Application

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Since 1998, LMI Technologies has worked to advance 3D smart sensor technology(3D machine vision) for fast and accurate measurement. Our flagship Gocator and FocalSpec product lines help factories achieve 100% inspection, reduce waste by optimization, and improve efficiency by simplifying automation. Trusted in the most challenging applications, our 3D machine vision solutions help customers improve control of their processes and stay ahead of the competition.

Visit lmi3d.com to learn more about our 3D sensor technologies.

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MERLIC's Anomaly Detection - MVTec Halcon

In this video, Anomaly Detection( Deep-learning-based) is used to inspect the PCB surface inspection. E.g., detection and segmentation of defects.

The feature of Anomaly Detection is only a small number of high-quality images needed for training. Defects of varying appearance can be detected without any previous knowledge or any labeling efforts.

Learn more about our deep learning technologies:

https://www.mvtec.com/technologies

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MVTec Software GmbH is a leading international manufacturer of software for machine vision used in all demanding areas of imaging like the semiconductor industry, surface inspection, automatic optical inspection systems, quality control, metrology, medicine, or surveillance. In particular, software by MVTec enables new automation solutions for the Industrial Internet of Things by providing modern technologies like 3D vision, deep learning, and embedded vision.

Visit mvtec.com to learn more about us.

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Opposite Layout and Alignment of Gocator Profile Sensors - LMI Technologies

This video shows how to set up two Gocator Profile sensors in an opposite layout.

We also show two alignment methods between two Gocator Profile sensors.

00:00 - 00:20 Intro

00:21 - 02:20 Types of Layouts & Alignment

02:21 - 08:16 Live Demo

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Visit lmi3d.com to learn more about our 3D sensor technologies.

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