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.
Juha Saily introduces LMI Technologies 3D Line Confocal Sensors. We discuss LCI technology, LMI products, and typical applications.
Please ask any questions you may have about this exciting addition to the LMI Technologies suite of products!
0:00 Introduction
1:24 Agenda
2:10 LMI Technologies
3:10 Product Lineup
6:20 Line Confocal Imaging (LCI)
12:36 Line Confocal Sensors
24:26 Integration in Inspection Systems
31:11 Scan Examples
50:25 Questions
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.
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
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 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.
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.
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
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.