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.
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.
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.