From AI to 3D Imaging, the 2024 Vision Spectra Conference Spotlights Innovation

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Tracks cover optics, hyperspectral and SWIR imaging, vision-guided robotics, deep learning, AI and inspection, and cameras, systems, and sensors.

A variety of must-watch webcasts on topics ranging from optics to the ever-evolving landscape of deep learning in inspection is on the docket for the fourth annual Vision Spectra Conference. The online event takes place July 16 to 18 and features six technology tracks for end users and systems integrators, from industry stalwarts to up-and-coming startups.

Vision Spectra Conference guest speakers

Attendees can expect more than 40 presentations in the following tracks: Optics, Filters, and Illumination; Hyperspectral and SWIR Imaging; Cameras, Systems, and Sensors; Vision-Guided Robotics and Logistics; and Deep Learning, AI, and Inspection. For the first time in the event’s four-year run, 3D Imaging will have a separate track.

Within the Deep Learning, AI, and Inspection track, discussions will include ways to enhance inspection systems and gigabit Ethernet (GigE) vision connectivity. Cognex, a first-time presenter, will cover the early advancements of AI to its current uses in the world of machine vision in its session, “AI: From Buzzword to Practical.” Presentations from Soft Robotics and MVTec will discuss the implementation of AI and machine vision in robotics and tips for deep learning data handling.

The Vision-Guided Robotics and Logistics track will include presentations from several newcomers, including Orbbec, Cambrian Robotics, and Vayu Robotics. Basler’s Sebastian Sauppe presents “Next-Level Vision: 3D Solutions for Logistic and Warehouse Automation,” which addresses the usefulness of time-of-flight and stereo vision solutions in warehouse environments.

In the conference’s largest section — Camera, Systems, and Sensors — Baumer’s Mike Nagle joined by Event Capture Systems’ Brian Mock and John Larkin will cover customer deployments in their joint session, “How to Get Started with Smart Cameras for AI applications.” This jumpstarts additional topics in automotive sensing and line-scan cameras in mainstream applications.

Hyperspectral and SWIR

This year will also see the return of hyperspectral and SWIR imaging. This track features talks from newcomers such as Living Optics, along with ProPhotonix and Headwall Photonics, on topics such as maximizing hyperspectral SWIR imaging, hyperspectral snapshot video rate imaging in computer vision, and full-spectrum capture using multiple cameras.

VSC July 2024Lastly, the Optics, Filters, and Illumination track will focus on topics such as UV lighting and filters, among others. Schneider Optics will deliver an educational presentation on lenses, focusing on the lack of standardization in lens specifications and tolerance metrics. Ansys will also present during this track and highlight a physics-based simulation framework that facilitates the integration of camera lens systems, 3D scene camera ray tracing analysis, sensor functionality, and post-processing that empowers the simulation of camera systems in real-world scenarios.

Register now

Registration for the 2024 Vision Spectra Conference is open now. For the most up-to-date information and to register for free, visit

Published: July 2024
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...
The general term for the application of light to a subject. It should not be used in place of the specific quantity illuminance.
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...
Show Previewmachine visionmachine vision systemscamerasillumination3D imaginghyperspectral imagingSWIR imaging

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