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Finalists Announced for VISION Startup World

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STUTTGART, Germany, Aug. 12, 2022 — Organizers of VISION released the list of startups that will compete in the show’s now-annual Startup World event. Startups focused on image processing and computer vision will present their innovations. Technologies range from the latest camera technologies, to software from artificial intelligence, and deep learning to image processing systems.

The Startup Pitch Session 2022 is part of the Industrial VISION Days. The competition will be held in the presentation forum in the Alfred Kärcher Hall. A jury of experts will award the title “VISION Startup 2022” to the winner on the final day of VISION.

Courtesy of Messe Stuttgart.
Courtesy of Messe Stuttgart.
The startups competing in VISION Start-up World:

3HLE Automation et Robotique SA
Biel. Switzerland
Product: Retina AI Vision, a software plug-in enabling visual inspection within minutes, without the need for coding.


3visionD SIA

Riga, Latvia
Product: Software enabling any camera to become a visual sensor.


Apera AI
Vancouver, British Columbia
Product: Artificial intelligence software enabling 4D vision in robots — the ability to see and handle objects with human-like capability.


DENKweit GmbH
Halle, Germany
Product: DENKweit Vision AI Hub, a platform to develop AI-based image analysis without expertise and as little as 15 images.


Dotphoton AG
Zug, Switzerland
Product: Jetraw, a raw image compressor with extreme performance in terms of speed and compression ratio (>200 MB/s/core >5:1).


HACARUS Inc.
Kyoto, Japan
Product: AI-powered software for surface inspection, providing highly accurate predictions even when trained with small data sets.


HAIP Solutions GmbH
Hannover, Germany
Product: Easy-to-use hyperspectral imaging cameras and products.


IUNA AI Systems GmbH
Untergruppenbach, Germany
Product: Visual inspection technology providing exact defect locations even on painted and reflective surface and short cycle times.



IVISO GmbH
Wien, Austria
Product: Environmental perception software enabling any device with a camera to localize itself indoors and outdoors with 5-cm absolute accuracy without infrastructure requirements.


Natural Selection.AI GmbH
Munich, Germany
Product: Image processing solutions with high accuracy in detecting and segmenting objects for any kind of images.


Nnaisense
Lugano, Switzerland
Product: nnSPECT Cloud, an AI-based optical inspection platform without the need for coding, and available on the cloud.


oculi
Baltimore, Maryland
Product: OCULI SPU (sensing and processing unit), a single chip software-defined vision sensor delivering real-time vision intelligence at the edge.


Orama Solutions LLP
Noida, India
Product: Computer vision and AI for defect detection, surface detection, OCR and dynamic counting/classification for manufacturing, requiring minimal training data.


Saccade Vision
Rehovot, Israel
Product: Integrated inspection system enabling multidirectional scanning profilometry of stationary objects, eliminating vibration and motion errors.


sewts, GmbH
Garhing bei Munchen, Germany
Product: Computer vision and machine learning for the processing of easily deformable materials, including textile handling in industrial laundries or manufacturing.


unispectral LTD
Tel Aviv, Israel
Product: Hyperspectral cameras and filters at low cost and reduced size, enabling mass market adoption of spectral IR imaging.


Vathos GmbH
Düsseldorf, Germany
Product: Computer Vision Software as a Service for industrial automation, providing a scalable computer vision interface for system integrators to enable pick-and-place or visual inspection applications.


Visionary.AI
Jerusalem, Israel
Product: Software-based image signal processor employing AI to deliver clear vision in challenging conditions.


For more information, visit www.messe-stuttgart.de/vision/en/visitors/programme/vision-start-up-world.

 


Published: August 2022
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...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
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...
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: ...
machine learning
Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
vision
The processes in which luminous energy incident on the eye is perceived and evaluated.
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