In this tutorial, you will learn how to work with Dictionaries in MVTec HALCON. First, you will learn how to create dictionaries and assign values to them, both with the available operators and the access expressions. Additionally, we will look at both the static and dynamic syntax of the access expressions.
After that, we also want to access the values we stored in the dictionaries. Lastly, you will learn more about some uses cases for dictionaries, like the communication via JSON or the usage of dictionaries as generic input or output parameters of procedures.
Content
0:00 Introduction
0:42 Store data in dictionaries
3:12 Static and dynamic syntax
4:00 Access data in dictionaries
5:07 Conversion from and to JSON
5:38 Using dictionaries in the context of procedures
MVTec HALCON 21.11 is used in this video.
About Us:
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.
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.
In this video, Alexander Joos introduces an application based on HALCON, developed by MVTec’s partner Strelen Control Systems. The system is to count the number of people that are entering and leaving a building.
About Us:
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.
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.
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
About Us:
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.
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.
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.
About Us:
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.
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.
In this tutorial, we use HDevelop to perform a quick and easy approximate hand-eye calibration. This hand-eye calibration is necessary to pick and place objects, which are observed by a stationary 3D sensor, with a robot.
There are many ways to perform a hand-eye calibration with HALCON. In this video, the robot holds a ping pong with its gripper while the 3D sensor acquires image data.
With the corresponding poses, we can calibrate the transformation from the camera coordinate system into the robot coordinate system. We show several approaches to check the calibration and then pick and place an object using the calibration result.
Content
0:00 Introduction
1:09 The HDevelop example program calibrate_hand_eye_stationary_cam_approx_sphere.hdev
2:30 Perform the hand-eye calibration
5:50 Check the result
6:35 Pick and place test objects
In this video, a preview version of MVTec HALCON 21.11 is used. You can download the used HDevelop program here:
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.
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.
In this presentation, MVTec introduces a hybrid approach for object detection with HALCON.
Dr. Patrick Follmann shows how to reduces the labeling effort by using Shape-based matching AND Deep Learning. With this hybrid approach, it can achieve excellent precision and a fast runtime.
About Us:
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.
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.
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
About Us:
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.
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.
In the first part of this tutorial series, you will learn what is classification and classification applications. Then, we will look at the first HDevelop example series on HALCON classification.
Within this program, we will learn how to read and split a dataset. Next, we preprocess the labeled data to be suitable for the deep learning model.
Then, you will be ready for training, which we will learn about in the next video.
0:00 Intro
0:22 Introduction of the technology
1:20 Working with the HDevelop example classify_pill_defects_deep_learning_1_preprocess.hdev
1:53 Read the dataset
2:33 Split the dataset for training, validation, and testing
3:30 Preprocess the dataset
Train a Model
In the second part of this tutorial series, you will learn how to train a classification model with MVTec HALCON.
We will have a look at some hyperparameters that influence the training progress, like for example the learning rate. Additionally, we will learn how and when to augment your data.
We will have a look at how to interpret the extensive training progress visualization. For example, we will examine the ‘top-1-error’, which is to check the performance of the model during training.
0:00 Intro
0:29 Select a suitable device for the training
0:53 Training hyperparameters: learning rate, batch size, epochs, …
2:47 Augment the training data
3:36 Visualization of the training progress
Evaluate the Trained Model – HALCON Deep Learning
In the third part of this tutorial series on HALCON’s deep-learning-based classification, we will check the deep-learning-based object detection model we trained in the previous video.
First, we will inspect some pie charts, visualizing the precision and recall of the model on a given dataset. Additionally, a confusion matrix helps us analyze the classes in detail. Finally, we have a look at the heatmap.
0:00 Intro
0:57 Evaluate the pie charts for precision and recall
2:48 Inspect the heatmap visualization
Apply the Model (Inference) – HALCON Deep Learning
In the last part of this tutorial series on HALCON deep-learning-based classification, we will apply the model we trained and evaluated before.
0:00 Intro
0:24 Select a suitable device for inference
0:48 Adapt the batch size for ideal performance
1:13 Inference workflow
About Us:
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.
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.
The automation of processes in greenhouses using machine vision technologies makes it possible to meet the increasing demand for quality, hygiene, and food safety.
With the help of machine vision, harvesting robots able to detect, classify and cut ripe crops. Also, multispectral imaging and deep learning technologies enable early detection of nutrient deficiency or signs of disease to ensure the best quality yields.
Learn more about machine vision for agriculture solutions:
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.
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.
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.
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.
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.
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.
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.
There are many ways to perform a hand-eye calibration with HALCON. In this video, we approach a calibration plate with the gripper of our robot and use these poses to get a correspondence of the camera coordinate system and the robot coordinate system.
Hand-eye calibration is necessary for pick and place applications.
Content
0:08 Theory & Background
1:05 Calibrate the touching point
2:20 Perform the hand-eye calibration
Part #2
In this tutorial, we use shape-based matching to locate an object on a planar surface. Then, we teach a robot how to approach the object.
Content
0:08 Previous preparations and next steps
0:37 Create the shape model
1:15 Define the robot’s approach
1:42 Test the application
About Us:
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.
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.
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.
Kinemetrix (www.kinemetrix.com) built an automated clip assembly cell in which parts are fed onto a conveyor in arbitrary 3D orientation, then picked and rotated by an articulated robot so that a plastic clip can be inserted.
The position and orientation of the parts are determined by using 3D point cloud data and HALCON's surface-based 3D matching technology.
About Us:
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.
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.
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.
You will learn how to apply print quality inspection to bar and data codes with MVTec HALCON on this video.
We’ll focus on the international standards ISO/IEC 15415 and 15416. At the same time also get to know ISO/IEC 29158 and SEMI T10-0701, which focus on the quality of direct part marking (DPM) codes.
Furthermore, we’ll have a look at the importance of a standard-conform image acquisition setup. We’ll go through two HDevelop examples that simulate printed codes and apply print quality inspection.
0:00 Basic introduction to print quality inspection
0:38 The standards supported by MVTec HALCON
1:37 Standard-conform image acquisition
2:38 HDevelop examples
We are using HALCON 20.11 in this tutorial.
About Us:
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.
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.
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.
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.
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.
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.
Plant protection is an important component of crop cultivation to ensure high yields and best quality. Growing objections and increasingly strict regulations of traditional protection methods are challenges that have to be faced – today and in the future.
Therefore, it is necessary for crop protection products to be put to particularly efficient use. With the help of industrial image processing, it is possible to distinguish between crops and weeds in real time during the spraying process and to precisely apply the agent.
With Deep OCR, MVTec introduces a holistic deep-learning-based approach for optical character recognition (OCR).
Deep OCR can localize numbers and letters much more robustly, regardless of their orientation, font type, and polarity. The ability to group characters automatically allows the identification of whole words. This improves the recognition performance significantly and avoids the misinterpretation of characters with similar appearances.
In this tutorial, you’ll learn about some of the most commonly used image filters in MVTec HALCON, how they work, and what they can be used for. First, we’ll have a look at some smoothing filters, in particular 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. Lastly, you’ll learn about what to look out for when using filters on images with reduced domains.
HDevelop features two types of variables: iconic variables, which consist of images, regions, and contours, and control variables, which consist of numbers, strings, and handles.
You can download the corresponding example program here: https://www.mvtec.com/news-press/video/detail/hdevelop-tutorial-02-variables-mvtec-halcon/
Content
1:11 Iconic variables
2:38 Control variables
3:26 Tuples and arrays
You will learn how to access all the important information about the variables your program uses. Additionally, you will learn about tuples and arrays and how to use them intelligently to avoid loops in your program.
In this video, HALCON 12 is used. The code can be easily adaptable to latest Halcon version.