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The 2025 Vision Spectra Conference Spotlights Innovation Across Machine Vision

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Tracks cover AI, robotics, 3D imaging, cameras, sensors, hyperspectral and SWIR imaging, optics, and illumination.

A series of must-see webcasts on topics ranging from sensors to vision-guided robotics will headline the fifth annual Vision Spectra Conference (VSC). Taking place July 15 to 17, the virtual event features six technology tracks for end users and systems integrators, from industry titans to up-and-coming startups.

Attendees can expect more than 30 presentations in the following tracks: Optics, Filters, and Illumination; Hyperspectral and SWIR Imaging; Cameras, Systems, and Sensors; Vision-Guided Robotics and Logistics; Deep Learning, AI, and Inspection; and 3D Imaging.

VSC 2025 will also feature three keynote speeches from experts in the field. Mathew Pelletier from the U.S. Department of Agriculture will discuss the path to commercializing the Plastic Inspection, Detection, and Ejection system (PIDES) and how it evolved through AI. The Vision Markets team will offer actionable insights into how machine vision businesses can drive long-term growth, and Yole Group will deliver a market analysis of the industry.
The Optics, Filters, and Illumination track will include presentations from Toshiba Teli, CCS, Midwest Optical, and Smart Vision Lights on topics ranging from capturing micro-defects to machine vision lighting. Hamamatsu, an addition to the track for 2025, will present “Translating Infrared Component Performance into Detection and Imaging success.”

Within the Vision-Guided Robotics and Logistics track, discussions will include a presentation from FANUC America on “Robotic Systems in Logistics.”

In this year’s Camera, Systems, and Sensors technology track, companies such as Balluff, Ansys, and LUCID Vision Labs will return to examine IO-Links, RGB-IR sensor exporters, and 10-GigE cameras. Additionally, newcomers such as Northrop Grumman, Pleora, and Teledyne FLIR OEM will cover CMOS sensors, boosting bandwidth, and automatic emergency braking.

The 3D Imaging track is returning this year. Optical Metrology Solutions will cover “Advancements in Methods for 3D Vision Inspection.” The Machine Vision Source and the National Chung-Shan Institute of Science and Technology in Taiwan will share advice on practical machine vision as well as hybrid dual-fisheye and depth cameras.

In the conference’s largest section — Hyperspectral and SWIR — Léa Butruille from Headwall Photonics will present a talk on “Multi-Camera Acquisition.” Specim’s Mathieu Marmion, Edmund Optics’ Christopher Razze, and HySpex’s Trond Løke, among others, will also discuss topics within the track, including nondestructive coating inspection, SWIR imaging lenses, and hyperspectral processing in UAVs.

Lastly, the Deep Learning, AI, and Inspection track will focus on topics such as creating platforms for AI and shop floor autonomy. Matthias Kerschhaggl from EVK will speak on “Quantitative Chemical Imaging: How to Bring Your Lab Analysis to the Production Line,” along with MVTec’s Thomas Binder, who will present “Bin Picking with a Combination of Deep Learning and Rules-Based Algorithms.”

Register now

Registration for the 2025 Vision Spectra Conference is open now. For the most up-to-date information and to register for free, visit www.photonics.com/vsc2025.


Published: June 2025
Glossary
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
hyperspectral imaging
Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
illumination
The general term for the application of light to a subject. It should not be used in place of the specific quantity illuminance.
deep learning
Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
Show PreviewVision Spectramachine visionmachine vision systemsSWIR imaginghyperspectral imagingilluminationOpticsFiltersdeep learningvision-guided roboticslogistics

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