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How AI / Machine Learning is Re-defining the Capabilities of Optical Character Recognition (OCR)

Name

Carl Leyland

Title

Key Account Manager & Product Specialist

Company

ACROVISION

Carl Leyland – Key Account Manager & Product Specialist has worked for Acrovision for 7 years’ with experience in providing machine vision and automatic identification integrated solutions to a range of sectors, including Automotive, Food & Beverage and Pharmaceutical. During his time at Acrovision, Carl has developed many human readable validation solutions in very challenging environments where rule based OCR wouldn’t cut it, adopting the correct Deep Learning OCR methods to conquer these.

If you’ve ever had issues trying to reliably implement Optical Character Recognition (OCR) into your automation processes, then come along and listen to Acrovision explain how recent AI / Machine Learning technology is advancing OCR to a level never achievable with traditional rule-based OCR tools.

See how damaged, inconsistent, deformed, poorly marked characters can now be robustly read under challenging conditions. This could be codes embossed onto metal, ink-jetted onto clear water bottles or laser marked on curved surfaces – all now readable often “out-of-the-box” using pre-trained font libraries.

Therefore saving time, money and frustration!

How AI / Machine Learning is Re-defining the Capabilities of Optical Character Recognition (OCR)

Name

Samuel Wear

Title

Sales Engineer

Company

ACROVISION

Samuel Wear - Technical Sales engineer for Acrovision with a background in metrology. Assisting customers with key projects and solutions in all industries, responsible for management and growth in the South-West & Wales.

If you’ve ever had issues trying to reliably implement Optical Character Recognition (OCR) into your automation processes, then come along and listen to Acrovision explain how recent AI / Machine Learning technology is advancing OCR to a level never achievable with traditional rule-based OCR tools.

See how damaged, inconsistent, deformed, poorly marked characters can now be robustly read under challenging conditions. This could be codes embossed onto metal, ink-jetted onto clear water bottles or laser marked on curved surfaces – all now readable often “out-of-the-box” using pre-trained font libraries.

Therefore saving time, money and frustration!

“Improving multi camera performance for GiGE Vision systems”

Name

Richard Oakley

Title

Manager, sales team EMEA excluding DACH

Company

ALLIED VISION

Richard is the Manager, sales team EMEA excluding DACH, working for Allied Vision since December 2017. He has been in the machine vision industry for more than 12 years, previously working for a local distributor in the UK. Richard has extensive knowledge across all component areas of vision systems thereby helping customers and OEM’s to realise complex vision solutions.

When it comes to interfaces in the machine vision industry, users face a variety of options to choose from to fit their application best. Thereby, every interface has unique pros and cons. The Ethernet based GigE Vision standard is still considered the most frequently used interface in machine vision. It offers a large variety of compatible standard network equipment and enables scaling the performance of the whole system over a wide range. This makes GigE Vision especially suitable for multi-camera systems. However, designing reliable high-performance machine vision systems using multiple cameras usually requires considerable experience and effort. In this presentation we address those challenges and present new ways to overcome them.

Advantages of non visible wavelengths for your application

Name

Julian Parfitt

Title

Mr

Company

ALRAD IMAGING

Julian is Director of Sales for ALRAD Instruments and has over 25 years experience in the international machine vision and automation industry with focus areas in imaging, photonics, sensors, display technology and RFID. Julian has worked closely with automation, scientific and robotics groups and more recently has been involved in the promotion of AI and Deep Learning in machine vision and the use of shortwave infrared (SWIR) and Thermal technologies for process control and inspection. ALRAD Instruments celebrated their 50th Anniversary in 2020, having served the industrial, scientific and medical communities since 1970. The company has a wealth of experience in all aspects of specialist imaging supported by a wide portfolio of components and systems and has six key technology areas: Imaging, Photonics, Electronics, Thermal, Vacuum and Medical.DDI Phone Number: 01635 32630 Contact email: Julian.Parfitt@alrad.co.uk

With recent developments in non-visible wavelength imaging and the growing diversity of automation, process and control applications, this presentation explores the latest use of image processing in the non-visible wavelengths from Ultraviolet through to Near Infrared (NIR), Short Wave Infrared (SWIR) and Long Wave Infrared (LWIR). Additional techniques such as filtering and use of polarisation characteristics are also explored and their benefits for the automation, process, packaging and inspection sectors explained.

Enable your vision system to higher performance, Thanks to CXP-12!

Name

Mark Williams

Title

Sales and Business Development UK and Ireland

Company

BASLER

Mark Williams has been with Basler for 8.5 years and works within Sales & Business Development for UK and Ireland. He is an experienced business development manager with a demonstrated history of working in the machine vision industry with UK and EMEA distribution channel and direct sales experience. With a focus on leading edge innovation projects, including embedded vision, thermal imaging technology and SWIR, he worked closely with the UK and Irish markets to assist machine vision customers. Working closely with distribution, system integrators, and large corporate clients to provide needs based solutions to their requirements, he is skilled in Sales, Machine Vision, Data Center, and Closed-Circuit Television (CCTV). His previous experience includes 15 years in specifying large scale network digital video recording solutions, multicast and fiber optic transmission, wireless video transmission, image compression and video encoding. He worked for large commercial, system integrator and City Surveillance markets.

The requirements for image processing system are becoming more and more challenging. Especially in demanding applications where a combination of high resolution and frame rate is required. Therefore it is mandatory to use a reliable interface.
Within this presentation we will explain what market trend we see and why CXP-12 is the perfect interface to solve the future machine vision tasks.

The Integration problem: Why should vision hardware be designed for the automation environment?

Name

Adam Carless

Title

Applications Engineer and Vision Product Specialist

Company

BECKHOFF AUTOMATION

Adam has been with Beckhoff Automation since 2010, working at both Beckhoff South Africa and Beckhoff UK.Adam has a a broad range of experience across the Beckhoff product portfolio and is currently serving as the UK product specialist for TC3 Vision as well as being a skilled applications engineer. This gives him great insight into integrating vision into your system.

This discussion will cover seamlessly embedding a complete vision system, comprising hardware and software for industrial use into a PC-based control system. Additionally showing how direct integration simplifies vision project planning lowers costs and enables optimises process quality.

From the application to the right illumination

Name

Sophie Perrot

Title

Company

CCS EUROPE

Sophie works as Account Manager for the Japanese illumination manufacturer CCS. Located near Munich, she oversees selected customers for the European office.She has worked in the machine vison industry for over 20 years as a sales and product manager with a focus on optics and lighting and is well connected in the industry.With her strong technical background as physicist, she defines the best solution from off the shelf components to innovative customized illumination.Contact: sophie.perrot@ccseu.com

For each task, a machine vision system needs the appropriate illumination to highlight the features to be examined. Only when the feature is "visible" on the image it can be qualified. For this, not only the sensor technology is important but also the lighting.

Recent developments in lighting technology allow new tasks to be solved:
•Thanks IR and UV lightings machine vision systems can see beyond the
visible
•Improved spectral distribution for white LEDs allows better analyse the colour of objects
•You can achieve higher resolution with the right illumination
We will also discuss some basic rules for a quick pre-selection of light designs

Deep Learning - A Practival Guide to Creating a DL System

Name

Hashem Khan

Title

Company

CLEARVIEW IMAGING

Hashem is a Sales Engineer for ClearView Imaging. With a Masters in Electrical Engineering and a fully Certified Vision Professional, Hashem’s primary role is helping our customers find the right product from our portfolio and help them design-in our hardware and software into their final system.

If you are new to Deep Learning and want to understand more about the technology and how to successfully create and deploy Deep Learning systems, this presentation will cover the technology, when to use DL, what is possible and provide examples and use cases

Thermal Imaging for Machine Vision

Name

Kumar Vaidikar

Title

Company

CLEARVIEW IMAGING

Kumar is a Sales and Applications Engineer for ClearView Imaging. With a Masters in Mechanical Engineering and a fully Certified Vision Professional, Kumar’s primary role is helping customers find the right product from the portfolio and help them design-in hardware and software into their final system

There are certain applications that cannot be solved with Visible Imaging and this session will explore how Thermal Imaging can be used to solve tasks that cannot be done with Visible Imaging. From the history of Thermal through to how to set up a Thermal Imaging system, with applications and uses cases, this presentation aims to provide a comprehensive overview to anyone new to Thermal Imaging and wanting to learn more

Synthetic Sensor Data

Name

Vincent Bos

Title

Business Manager

Company

DEMCON

Vincent studied Mathematics, was co-founder of nymus3D who produce world class scientific visualisations and simulations for e.g. Harvard University, Industrial Light & Magic, CERN and many more pharmaceutical, biotech and academic clients. Nymus was acquired by Demcon in 2015, a Dutch contract R&D company with a strong presence in medical product development and semicon. Supported by Demcon’s computer vision, robotics and AI groups, Vincent has developed the new Synthetic Data group since 2021.

“Data is the new oil” has been coined a few years ago and still holds true. The most common stumbling block to successfully use AI in production, is typically not a lack of the right algorithms but a lack of the right data to train these algorithms. At Demcon we have developed a pipeline to generate – and validate – synthetic sensor data and rich annotation through simulation to open up avenues for AI currently blocked by the right data. We will introduce you to Demcon’s synthetic data pipeline, as well as to some practical examples.

Camera, Lens... What about illumination?

Name

Thomas Armspach-Young

Title

Camera, Lens… What about Illumination?

Company

EDMUND OPTICS

Thomas Armspach-Young is a Vision Solutions Engineer within the Imaging Business Unit at Edmund Optics.He has a background in electronics and has been with Edmund for just over 5 years, working with customers across Europe, providing technical and application support for standard.

Though often underrated, Illumination is a key element of all machine vision systems and is almost always the last component to be integrated into a vision system. However, knowing what and how to choose illumination for a setup is just as important as the lens or camera selection as this can make a significant difference to the overall quality of the resulting image. In this presentation, Thomas Armspach-Young will go through the most common forms of illumination used for machine vision, denoting the advantages and disadvantages of each type as well as looking at the effects of these on the optics and the imaging system as a whole.

10GigE, 25GigE and 100GigE for all your applications

Name

Thomas Detjen

Title

Director of Sales EMEA

Company

EMERGENT VISION

Thomas Detjen is an experienced Sales Director in the field of Machine Vision, with over 20 years of experience. He has been working for Emergent Vision Technologies for the past three years and was instrumental in founding the EMEA Sales & Business Development office near Stuttgart, Germany, to better support the company's growing field of partners and customers.Throughout his career, Thomas has demonstrated a deep understanding of high-speed vision, and his expertise in this area is unparalleled. As Sales Director for EMEA, he has worked closely with partners to ensure that they have access to the latest technology and are equipped to deliver the best solutions.In addition to his professional achievements, Thomas is also a passionate advocate for emerging technologies and their potential to transform industries. At the UKIVA - Machine Vision Conference & Exhibition, Thomas will be speaking about the impact of high-speed vision cameras on the industry and the latest advances in the field of Machine Vision, with a focus on the use of 10GigE, 25GigE, and 100GigE.

The focus of this presentation is going to be on the technologies involved in high-speed applications.
These include interfaces, processing technologies, software, and cameras.

Comparing 3D Vision Technologies for Robotic Applications

Name

Salem Koubaa

Title

Company

FLIR IIS

Salem Koubaa is a Sales Engineer for Machine Vision at Teledyne IIS. He holds a Master of Science in Electrical Engineering and has been in the Vision industry for 3.5 years. He is working with customers and partners across Europe providing helping them with technical and application support.

Depth perception is required by a number of robotic applications, including autonomous navigation, pick and place, palletizing, and package optimization. The most common methods to achieve depth perception are stereo, time-of-flight, and lidar.

Choosing which method to apply depends on factors such as range, accuracy, ruggedness, cost, and weight. In this talk, we will compare the various 3D vision technologies and discuss their trade-offs pertaining to these applications

High-Speed and High-Power Machine Vision Lighting

Name

Doug Bourne

Title

Product & Applications Manager

Company

GARDASOFT VISION

Douglas Bourne is Product & Applications Manager at Gardasoft Vision. He joined Gardasoft as a Development Engineer in 2011 after reading Engineering at Durham University. He has spent many years ‘on the road’ facilitating a wide range of Machine Vision lighting applications.

A brief explanation of constant-current LED control, introducing the concept of high-speed and high-power overdriven Machine Vision lighting. This will be followed by some practical examples of how such lighting can be used to create or improve upon Machine Vision techniques.

How does a Machine Vision Camera works?

Name

Gaspar Van Elmbt

Title

CEO

Company

GET CAMERAS

“Gaspar is the CEO of GeT Cameras, a machine vision distribution company known for its excellent quality, service and prices. Gaspar has more than 20 years’ experience in electronic and machine vision system design. With a bachelor’s degree in electrical engineering he has designed numerous electronic devices and machine vision systems for many different markets, varying from detecting plastic in rivers up to detecting particles < 20uM in cleanrooms. During his career he switched from engineering to sales, selling industrial camera technology all over Europe. In 2017 Gaspar graduated from the Executive MBA Mannheim, giving him more tools and insights regarding, process optimization, workflows, business models, financials, leadership and strategy. With these tools he understands the customer (business) case better, providing advice and generating strong long-term customer relationships. Also providing huge benefit in strategy and optimization processes of GeT Cameras, resulting in lower end-user prices (30-50% cheaper than competitors).”

In this presentation we will explain how a machine vision camera works. We will discuss the technical principle like integration times and sensorsizes, explain features like ROI, Binning, Skipping, Multicamera setups and show the differences between CMOS vs CCD and Global vs Rolling shutter

X-over-Fiber: New Technology to Build a High-speed Image Acquisition System

Name

Kevin CHENG

Title

Senior Sales Manager

Company

HIKROBOT

Kevin CHENG , 6 years of machine vision sales in machine vision industry , experienced in machine vision systems and components .

The X-over-Fiber data interface from Hikrobot is able to achieve a great balance between bandwidth and data cost. X stands for any high-speed interface protocol while Fiber indicates that the interfaces use optical fiber as the transmission medium. With this interface, customers can gain a fluid user experience for high-speed applications.

Picking the best way through 3D Machine Vision

Name

Neil Sandhu

Title

Area Sales Manager

Company

IDS Imaging Development Systems

Neil has been working in Machine Vision for over 20 years. Since some of the first smart vision systems were released and through to today's latest innovations. He has worked for a few different Machine Vision manufacturers and been involved in product design, release, sales, marketing and technical support all through his career. Neil was also the chair of the UKIVA from 2020 thru to the end of 2022. Helping the association develop strategies and goals that could enable the promotion of how Machine Vision technology can help in today's and tomorrow's industrial and automation challenges. Now at IDS Imaging Development Systems, Neil is working with many companies in the UK to utilise the benefits of the industry leading 2D and 3D Machine Vision systems. Helping them to benefit from the latest camera technologies and interfaces. As well as the latest innovative Deep Learning and AI based vision solutions to solve the previously unsolvable tasks. Still keeping closely involved with the latest 3D technology that IDS can offer and working with partner companies in areas such as Robotics to provide the key solutions for now and the future.

3D Vision has now evolved somewhat since some of the initial systems were developed. From the early laser triangulation based systems to stereo based imaging and time of flight - the technology has advanced and improved the levels of 3D data that can be captured to really enable challenging automation tasks to be solved.
With this is mind, the use of Robots in conjunction with 3D Machine Vision has become a key partnership to solving many tasks in todays world. Perhaps some still view 3D Vision and Robot collaboration as a black art and far too complex to consider for use in their everyday work.
In this session we will look at how IDS developed systems can take the complexity away. Using the latest 3D technology and this can apply to many Robot tasks for guidance and picking applications to make it easier and faster to deploy a successful installation. Leading to shorter times to see the benefits in time and money from this level of automation.

Simplifying Deep Learning Solutions

Name

Rob Webb

Title

Product Sales Specialist

Company

IDS Imaging Development Systems

Rob joined IDS in 2018 but has been working with IDS products within the world of machine vision and imaging for over 20 years. With experience in both technical and sales areas, Rob's focus is on understanding the latest technologies and coherently communicating the benefits to customers as well as within IDS. All that experience is not just with cameras but also in all areas of vision systems including lighting, optics and image processing so he is well placed to advise on customer applications and is very motivated by finding solutions to challenges.

Deep learning has become prominent in the world of machine vision, however challenges such as data collection, annotation and the general understanding of the technology remain. Furthermore, whilst the use of deep learning enables new applications, businesses also have the challenge of finding resources to implement such systems. In this seminar we will look at how IDS are addressing some of these hurdles making it easier and faster for resource starved businesses to benefit from this technology.

Insight into vision trends and applications

Name

Jeff Burnstein

Company

A3 – Association for Advancing Automation

UKIVA Machine Vision Conference

"Jeff Burnstein is President of the Association for Advancing Automation (A3), the leading North American trade group representing over 1160 global companies involved in robotics, artificial intelligence, vision, motion control and related automation technologies. Burnstein joined the association in 1983 and has held a variety of senior positions, culminating in his promotion to President in 2007. He is a frequent commentator in the media, often discusses automation issues with policy makers, and regularly speaks at global conferences on issues such as global automation trends, the impact of automation on jobs and the future of automation beyond the factory floor. Burnstein also serves on the Executive Board of the International Federation of Robotics (IFR). He was recently named the winner of the 2023 Engelberger Award for Leadership, considered the “Nobel Prize of Robotics.”

An update on the machine vision market size in North America and current trends
A look at leading applications today
Discussion of future applications for vision

Join us at-the-edge

Name

Robert Partuschke

Title

Business Development Manager (Baumer)

Company

LAMBDA PHOTOMETRICS

Robert studied Audio Visual Media Technologies in Hamburg/Germany, and is already for more than 15 years in the Machine Vision industry. For many years he is working in International Sales as a Business Development Manager for Baumer.

Many customers see in AI a big opportunity for their business. With the VAX camera Baumer enables the customer to use his own AI solution on an easy to use smart camera.

Automated visual inspection at every stage of manufacturing

Name

Rajesh Iyengar

Title

Founder & CEO at Lincode

Company

LINCODE

Rajesh Iyengar is the Founder & CEO of Lincode Labs Inc. He has been working in the technology industry for more than 20 years. His background focuses on AI, machine learning, and robotics solutions. Aside from managing Lincode, he is also a Board Member, Advisor, and Investor for various startups. Rajesh previously worked as a Chief Technology Officer for Si3D Systems Pvt. Ltd., PurpleData, and KloudData Inc. Today, he is focused on helping the manufacturing industry transform to smart manufacturing with Artificial Intelligence and Automation.

The focus of the presentation is on the quality inspection system used in the manufacturing industry and how AI Vision can be utilized to detect defects. We provide manufacturers with advanced technologies that enhance efficiency and production, while also achieving the desired ROI. Lincode addresses the growing need for innovative technologies, such as AI and Automation, which can revolutionize the manufacturing industry. Our company achieves this by creating robust industry 4.0 technology and ensuring it is accessible to manufacturers seeking the right software to enhance their entire manufacturing process. LIVIS, our patented product, combines machine learning and factory automation to allow manufacturers to identify, predict, and eliminate product defects. LIVIS uses complex algorithms, deep learning models, and synthetic data sets to detect defects more quickly and accurately than traditional vision systems, while seamlessly integrating with existing manufacturing facilities.

3D inline inspection solutions for EV Battery manufacturing

Name

Lucien Vleugels

Title

Territory Manager

Company

LMI TECHNOLOGIES

Lucien has a Bachelor Degree in Applied Science and over 25 years experience in industrial automation and non-contact laser sensors. In 1995, Lucien joined LMI Technologies, a company focused on 3D scanning and inspection systems, and has held various positions within R&D. For the past 10 years, he has been a Territory Manager responsible for the UK and Benelux markets. With his wide experience in the 3D industries his focus is to drive profitability, reduce time to market and open up new possibilities for his customers.

Quality inspection is essential in the battery manufacturing process and comes with challenges. 3D inline inspection can make it much easier, cost effective and dependable at almost every step of the process.

Covering coating and drying, cutting electrodes, battery weld, calendering, cell assembly, module assembly etc.

RDMA technology for high-speed cameras providing optimal image transfer over 10GigE and beyond

Name

Torsten Wiesinger

Title

General Manager, EMEA

Company

LUCID VISION LABS

Torsten Wiesinger is the General Manager of the EMEA region for LUCID Vision Labs, Inc., responsible for developing and growing LUCID’s presence in the EMEA market. Before joining, Torsten has gained over 15 years of experience in the machine vision industry, notably as the CEO at IDS Imaging Development Systems GmbH, and more recently as Sales Director at MVTec Software GmbH. Torsten has a Diploma in Business Informatics.

The landscape of high-speed data transmission is in a constant state of evolution, as new technologies emerge to meet the ever-growing demands of bandwidth-intensive applications. Ethernet UDP protocol has been the preferred protocol for streaming data from GigE Vision cameras for many years due to its simplicity and low latency. However, as the demand for higher bandwidth applications beyond 1 GigE continues to rise, a more efficient and reliable transmission standard is necessary to handle the massive increase in data.
This presentation will explore the origins and mechanics of RDMA, as well as the RoCEv2 standard, providing a detailed comparison with traditional protocols such as TCP and UDP. The presentation emphasizes the zero-copy transmission capability that RDMA provides, which enables data transmission to bypass the CPU and OS. Furthermore, we will cover a comprehensive overview of how this feature affects 10GigE and 25GigE cameras, including benchmark results, and provide valuable insights into the impact of RDMA technology on the machine vision camera industry.

Advanced Sensing with LUCID’s Latest SWIR and UV Cameras

Name

Torsten Wiesinger

Title

General Manager, EMEA

Company

LUCID VISION LABS

Torsten Wiesinger is the General Manager of the EMEA region for LUCID Vision Labs, Inc., responsible for developing and growing LUCID’s presence in the EMEA market. Before joining, Torsten has gained over 15 years of experience in the machine vision industry, notably as the CEO at IDS Imaging Development Systems GmbH, and more recently as Sales Director at MVTec Software GmbH. Torsten has a Diploma in Business Informatics.

Industrial applications such as fruit inspection and sorting, packaging, IR microscopy, semiconductor inspection, and material sorting can greatly benefit from short-wave infrared (SWIR) imaging. In this presentation, we will cover the advancements of Sony’s SenSWIR technology paired with LUCID's Atlas and Triton SWIR Factory Tough™ cameras, capable of capturing images across both visible and invisible light spectrums, and boasting a miniaturized pixel size of 5μm. In addition, we will address the new Atlas10 camera equipped with the high UV sensitivity 8.1 MP Sony IMX487 CMOS sensor, capable of capturing images across the ultraviolet light spectrum in the 200 to 400nm range.

Stereo 3D imaging – how, why and applications

Name

Jon Vickers

Title

Company

MATRIX VISION

Jon has over 20 years of experience in all aspects of machine vision, from optics to software, but always with a view to the customer experience and a successful application.With Balluff and Matrix Vision, Jon has worked with customers from one-man-bands to large OEMs, bringing Matrix Vision’s industrial, embedded and stereo camera portfolio to a wide range of applications.

3D imaging has been a hot topic for 15 years, but it is now a mature sector, which brings ease-of-use to a previously very technical sector.

This presentation compares the different 3D technologies on the market, to let you find the right solution. Stereo is covered in greater depth showing how it can be used in robot and logistics applications along with the tips and tricks that help in difficult situations such as shiny targets and uncontrolled ambient light.

Finally – what are the key applications for stereo imaging, where does it help and what are the options?

“How the Euresys Deep Learning tools can help inspecting products?”

Name

Dr. Jean Caron / Euresys

Title

VP Sales and Support EMEA at Euresys

Company

MAVIS IMAGING

After some years as R&D engineer designing innovative computer vision solutions for online inspection systems, Jean Caron brings his Machine Vision expertise to the industry as Cognex Senior Vision Solution Engineer. During this period, he developed custom vision applications and provided customers in South Europe with technical consulting. Always ready to take up professional challenges, Jean joined Euresys to manage the worldwide technical teams providing prospects and customers with first class technical support. Then, in a business development step, Jean took over at Euresys the position of Vice President Sales and Support EMEA to manage the existing customers and be fully involved in the new customer acquisitions

“The Euresys Convolutional Neural Network-based suite of tools have been tailored, parametrized, and optimized for analysing Machine Vision images. As such, this presentation will explain how the Euresys Deep Learning bundle can be used to inspect parts online. In addition, the ease of creating datasets and training or testing the Convolutional Neural Network is tackled.”

Mech-Mind 3D Vision Solution

Name

Murphy Sheng

Title

Country Manger of UK

Company

MECH MIND

Mech-Mind country manager of UK & Ireland, has rich experience in 3D vision projects and channel cooperation.

Short introduction of Mech-Mind comanpy, products and application. The presentation includes the company histrory and situation, hardware details, software function, typical applications.

Advancements in 3D measurement and inspection software tools from Micro-Epsilon

Name

Glenn Wedgbrow, B.Eng(Hons)

Title

Business Development Manager

Company

MICRO-EPSILON

With 30 years’ experience in the engineering industry, specialising in precision sensor measurement technologies, Glenn has delivered measurement solutions including position, movement, temperature and colour inspection to all industries throughout the UK & Ireland. With an in-depth knowledge and expertise in solving measurement applications on almost all materials with the use of innovative sensors and systems, Glenn has provided numerous solutions for leading multinationals, medium and small sized businesses, liaising with design engineers and UK manufacturers in a range of industries from metal, rubber and plastics, to automotive and aerospace.

3DInspect is a uniform and user-friendly software tool for all 3D sensors from Micro-Epsilon. In this seminar we will take you through the newly developed inspection functions of version 1.5 and its setup wizard before showcasing applications where 3D measurement has been used to solve inline inspection tasks. Compatible with our scanCONTROL Laser Line profile sensors, surfaceCONTROL 3D and reflectCONTROL 3D snapshot sensors, the seminar will appeal to existing users and those interested to learn more about 3D inspection techniques.

Mastering Image Quality: Harnessing the Potential of Optical Filters in Machine Vision

Name

Georgy Das

Title

Director of Systems & Training

Company

MIDWEST OPTICAL SYSTEMS

Georgy Das is the Director of Systems & Training at Midwest Optical Systems. He has delivered countless presentations and training sessions all over the globe. He loves to figure out simple solutions to complex problems and is always tracking the latest trends in both machine vision and the technology landscape as a whole.

In Machine Vision, Optical Filters are a vital component for obtaining consistent, repeatable, high-quality image results. Optical filters control the type and amount of light entering the imaging system. Additionally, they can be designed to protect the lens and camera system.

This presentation shows you why, when, and how to use optical filters to control lighting in order to achieve optimal image results in a wide range of common vision applications. Filters can easily maximize contrast, improve color rendition, improve feature and geometrical recognition, establish repeatability, and control light reflected from an object. As part of this presentation, we will explore real-world visible and non-visible imaging applications being used in the field, as well as how optical filters play a vital role in producing consistent, reproducible results.

Beyond Two Dimensions: The Latest Advances in True 3D Imaging for robotics applications

Name

Simon Hickman

Title

Mr

Company

MULTIPIX IMAGING

Simon Hickman Owner and MD of Multipix Imaging, with an engineering degree and 25 years’ experience at a high level in the Machine/Computer Vision industry. Simon is one of the key people behind Multipix, which is well known in our industry as a vision specialist. He has a wealth of knowledge in all areas of vision and camera technology and has experienced much of the evolution of machine/computer vision. He is still full of enthusiasm and passion for helping and supporting our industry and still thrives on technical engagement. Simon is keen to raise the profile of the Machine Vision industry through full engagement with the UKIVA. Spreading our innovation to the world for the benefit of everybody.

In this seminar, Simon Hickman will take you through the latest advancements in True 3D Imaging technology. The presentation will be educational, providing insights into the underlying principles and techniques of True 3D Imaging and how the data can be used in robotic applications such as bin picking and even random object picking.

Easy Quality Assurance With Deep Learning?

Name

Johannes Behrends

Title

Presales Engineer

Company

MVTEC SOFTWARE

Johannes Behrends is a senior engineer with more than 25 years of passion for computer vision and machine learning. He is co-responsible for the presales of MVTec’s machine vision products. Since 2015, he has been a technical leader in building customer as well as inhouse knowledge concerning best practices in prototyping applications. Having joined MVTec in 2004, he has been responsible for world-wide product support for more than 15 years. He has become an expert in customer application evaluations and with special emphasis on 3D machine vision and deep learning. During that time, he also shaped and managed MVTec’s growing support team from the technical side.

In visual inspection tasks, the appearance of defects often cannot be predicted. Over the last years, deep learning methods have been providing the means to develop parameter-free customer applications. However, the challenge has shifted to provide the appropriate data. A particular challenge is to find defects even if no or just a few data of that class is available. This presentation will show an easy-to-use way to master this challenge based on Deep Learning Global Context Anomaly Detection. By a practical example, an end-to-end workflow from the data to a deployable deep learning application will be presented using MVTec’s Deep Learning Tool and MERLIC.

The Rise of GPT Model and Its Impact on Vision Hardware Requirements.

Name

Robert Chang

Title

Senior Account Manager

Company

NEOUSYS

Robert Chang is an account manager at Neousys Technology, a leading provider of rugged embedded computing solutions for industrial applications. He joined Neousys in 2014 and has over 10 years of experience in the industrial PC market. He now oversees the sales and marketing of Neousys products and services in United Kingdom, and Nordic area.

This presentation navigates the transformative influence of the Transformer-based AI model, ChatGPT, on machine vision development. Beginning with an overview of traditional CNN approaches, the discussion pivots to the potential of Transformer models in image processing, specifically through the Vision Transformer architecture. The session explores the model's unique advantages and discuss the potential implications of the Transformer-based models on the hardware requirements for edge inference. Further, it will introduce Neousys' cutting-edge solution: Edge AI computers, which are designed to meet the emerging demands of evolving hardware requirements.

Colorful 3D Scanning in Motion

Name

Martin Michalík

Title

Company

PHOTONEO

Martin Michalik has been a vital member of Photoneo’s Application Engineers fleet since 2022. As a mechatronics and space engineering master's student at the Slovak University of Technology in Bratislava, Martin sharpened his 3D imaging, machine vision, and artificial intelligence skills by working on improvements for the Photoneo 3D Sensors as part of his master's thesis. Currently, he is not only establishing and maintaining technical relationships with partners worldwide but also contributing to the product team by identifying potential improvements and conducting research for innovation. Martin's passion for cutting-edge technologies and problem-solving inspired him to pursue a career in the field of 3D vIsion and automation. He thrives on challenges and discovering creative solutions to complex technical issues, making him an invaluable asset to his team.

Photoneo will talk about one of the most impactful technologies that shape current and future automation - a novel machine vision technology that enables the real-time creation of colorful 3D point clouds in motion and high quality without motion artifacts. What is so unique about this is the combination of three key machine vision properties - high-quality 3D data, color information, and the ability to scan in motion. While it is relatively common to find these features in devices all around the world, merging them in a single device is what makes the technology game-changing. The technology opens up countless new application possibilities, especially for AI applications, VR & AR, the Metaverse, digital twinning, and literally any type of application that requires the recognition, picking, and handling of objects in motion such as dynamic assembly, hand-eye manipulation, and others. Customers can now achieve unprecedented efficiency and throughput as everything can happen in constant motion without interruption.

High-precision laser line detection with optimized FPGA programming

Name

Benoit Ostiz

Title

Team Leader Sales EMEA

Company

PHOTONFOCUS

Benoit Ostiz has an Engineering background and more than 15 years of experience in the Machine Vision market, Benoit helps the customer finding or designing the camera they need.

Laser triangulation applications are very challenging and must fulfill many requirements such as high speed, high bandwidth, reflections from shiny surfaces like metals, reliable laser line detection and even recognizing more than one laser line. Photonfocus' technologies solve these problems with comprehensive tools like the MultiPeak LineFinder that detects up to four laser lines in a single scan within the camera's FPGA

A snapshot of the current industrial 3D camera business - from £150 to £25,000+

Name

Jack Versey

Title

Sales Application Engineer

Company

SCORPION VISION

Jack is a Sales Applications Engineer working in the component sales side of Scorpion Vision and is often the first point of discussion with customers when discussing the details of their application, what difficulties they are facing and how these can be addressed etc.Jack has a wealth of knowledge, with a particular strength in optics, of Scorpion Vision's component portfolio that can enable the production of solutions for a wide range of applications, ensuring the appropriate components for each customer are provided so as to maximise value for the customer.

From board level stereo cameras and time of flight sensors that cost as little as £150, ideal for such applications as collision avoidance and autonomous navigation, to the top end of the latest generation of 3D machine vision camera products that reduce risk and easier to deploy and use than ever before. And on to the flexibility of bespoke 3D vision systems for the most challenging industrial 3D robot guidance applications.
Paul will present a snapshot of the current 3D camera market, the applications and the problems they solve.

SICK Nova Powered 3D Cameras Give Easy 3D!

Name

Nathaniel Hofmann

Title

Product Manager: Machine Vision and Measurement Systems

Company

SICK

Nathaniel Hofmann, is the new Market Product Manager for SICK (UK) Ltd. He has over 10 years of experience working in the machine vision industry, specialising in 3D Vision, Image Processing and Robotic applications.

With the expanding user-friendly NOVA toolset making the move onto the Visionary S Stereo Camera and the Visionary T Mini TOF Camera, see how the combination of market-leading hardware and onboard processing can simplify your 3D applications with the proven quality and reputation of SICK products.

Shining a Light on Automation: Harness the Power of the Latest Machine Vision Lighting Innovations

Name

Steve Kinney

Title

Director of Technical Solutions

Company

SMART VISION LIGHTS

Steve Kinney is a machine vision expert who joined Pulnix America and entered the machine vision industry in 1998. Going on to work for Basler, JAI, CCS, and now Smart Vision Lights, he has many years of machine vision imaging experience and has become an expert in industrial cameras and imagers. Since starting work in the lighting sector of Machine Vision in early 2015, he now combines camera expertise with machine vision lighting to bring an expanded knowledge base to the machine vision market.Steve has additionally been an active A3 member and a current member of the A3 Board of Directors as Vice Chair of the Vision & Imaging Technology Strategy Board. He has been a past chairman of the AIA’s Camera Link Committee, beginning with its inception in 1999. As chair of one of the major standards committees, he has also been a participant the G3’s Future Standards Forum.Steve has also been a major material contributor and instructor for the A3 Certified Vision Professional (CVP) program in both the Basic and Advanced CVP Camera + Image Sensor Technology courses. Steve currently is the Director of Training, Compliance and Technical Solutions for Smart Vision Lights in Muskegon, MI.

In machine vision, the output is only as good as the input. Achieving a quality output means that your machine vision system must have a high quality input. Getting high quality images from your imaging system requires good lighting. In many cases, machine vision inspections are happening at high rates to match production and this means very short exposure times to freeze the object's motion for imaging. Good LED lighting for machine vision must now also become ever increasingly faster to match production demands and the design of the automated inspection systems that support them. Like many technologies, LED lighting for machine vision has been continuously evolving and improving with every product generation. Come hear the latest advancements in LED lighting technologies that offer higher intensity, improve ease of installation and use, and reduce the impacts of the lighting on nearby operators.

Realising embedded vision solutions quickly and easily with a modular embedded ecosystem.

Name

Mark Williamson

Title

Managing Director

Company

STEMMER IMAGING

With a professional education in engineering, Mark has been in the machine vision industry since 1989. In 1997 he founded what is now STEMMER IMAGING UK, being the first STEMMER IMAGING acquisition in 2004. Since then Mark has held a number of group level senior leadership roles including corporate Marketing and group product strategy. Since 2020 Mark is focussed on implementing a new group strategy in the UK while maintaining a group level industry liaison responsibility. Mark is currently on the UKIVA committee and has been a previous Chairman for over 10 years where he presided over UKIVA joining the PPMA group of associations when he also became a PPMA board member and later PPMA Chairman. In 2015 he was elected to the board of the VDMA machine vision sector and since 2021 has held the role of Chairman. Mark is passionate about helping companies realise a competitive advantage by using machine vision technology in often ground breaking ways by providing advice, services as well and products to facilitate targeted solutions for customers.

Embedded vision is a great way to create smaller, lower power and in volume lower cost vision systems. The challenge is, that unless the application is very simple, off the shelf evaluation carrier boards have many limitations and normally will require a custom carrier board to be created to realise the final application which is often makes it unviable. Stemmer Imaging’s Modular Embedded ecosystem aims to make embedded more accessible not only for prototypes but also production. Its the first modular embedded platform that combines flexibility in both hardware interfaces and software modules to create powerful and efficient edge based vision systems enabling you to create production visions systems based on embedded technology easily and quickly. In this presentation we will take you through the key elements that make this possible and provide a number of examples of how the technology can be applied.

Using Illumination to Improve the Success of Vision-Guided Robotics Applications

Name

Jack McKinley

Title

Product Manager

Company

TPL VISION

Jack is the visionary behind TPL Vision’s innovative LED illumination solutions. As a Product Manager, Jack leads TPL Vision’s multifaceted design team to deliver cutting-edge machine vision lighting solutions that prioritize efficiency and seamless integration.Thanks to his keen eye for innovation within the industry, Jack’s projects have been recognised with two Vision Systems Design Innovators Awards for addressing crucial challenges in machine vision. With a bachelor’s degree in engineering and a background as a design engineer, Jack brings a wealth of technical expertise to his product management role, refining the Vision -pun intended- of the company moving forward.

In an increasingly complex production and manufacturing environment, robotics application designers must consider several different parameters requiring precise calibration and a deep understanding of the environment in which the robot is used to optimize the vision system for accuracy and precision. The presentation will explore the latest illumination technologies to help you optimize vision-guided robotics applications by:
- Overcoming object recognition, localization and tracking challenges for effective part picking and eliminating problems due to parallax,
- Avoiding motion blur and dealing with mechanical constraints,
- Reducing the challenges of high-speed end-of-arm robotics inspection applications,
- Optimizing inspection of complex parts in different orientations that are difficult to pick up from a large field of view,
- Finding the best lighting techniques for successful part pick-up across different working distances and fields of view.

TPL Vision are a leading designer of machine vision lighting solutions specialised in modular products, enabling easy integration and greater flexibility for robotics applications.

3D-Vision: LED vs. Laser scan to automate production lines.

Name

Sebastien Paille

Title

Sales & Marketing Director

Company

VISIONERF

Sebastien PAILLE has been working for VISIONERF and in the vision industry for more than 15 years and dealt with various applications (bin-picking, robot guidance, inspection etc.) which brought him valuable experience in 3D vision and automation challenges. He took the lead in the Sales and Marketing Department and is developing the VISIONERF 3D cameras all over the world to reach a global market.

VISIONERF has been designing and manufacturing 3D vision cameras for more than 30 years and came up with a new range of Cirrus3D sensors with both LED and Laser scan available depending on the situation, to cover the most applications. Over the years, both have been used by VISIONERF and their experience has been gathered to provide you with a guide on what to choose to get an optimum solution for your project, using case studies and proven examples.

Deep Learning OCR - One Tool to Read Them All

Name

Donato Montanari

Title

Vice President and General Manager, Machine Vision

Company

ZEBRA TECHNOLOGIES

Donato Montanari is the Vice President and General Manager, Machine Vision, at Zebra where he is responsible for fixed industrial scanners, smart cameras, machine vision hardware and machine vision software. Donato has more than 25 years of experience within the Imaging and Industrial Automation industries and has brought to the market more than fifty new products throughout his career. Previously, he served as CEO at deevio, where he managed all aspects of the business. Donato holds a MS in electronics engineering from KUL Leuven, Belgium and a BS in electrical engineering from Universita’ di Pavia, Italy. He is a Board Member of the Machine Vision Chapter of the VDMA in Frankfurt, Germany.

Deep learning technology is fast revolutionising approaches to industrial machine vision and unlocking new possibilities across previously challenging applications.

OCR, or “optical character recognition”, has been around for many years. While traditional techniques are good in perfect conditions, they often struggle when faced with blurred or damaged text, non-uniform illumination, complex backgrounds or text printed, etched or engraved on surfaces like glass or steel. All too often, these limitations have led engineers to avoid OCR-based machine vision projects due to insufficient accuracy, and the workload involved in developing a stable solution.

In this short presentation Donato Montanari introduces how deep learning technology offers a way beyond these common challenges of traditional OCR techniques. He’ll explain why you should forget about traditional text segmentation and OCR model training, and share some exciting use cases of deep learning OCR. He will show just how fast a deep learning-based solution can be. And last, but not least, introduce you to you how Zebra is rolling out support for deep learning-based OCR technology across multiple different platforms.

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