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Edge AI and Vision Alliance Names 2023 Vision Tank Start-Up Competition Winners

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SANTA CLARA, Calif., June 6, 2023 — The Edge AI and Vision Alliance named the winners of the 2023 Vision Tank Start-Up Competition at the Embedded Vision Summit. The annual competition, which showcases ventures using or enabling perceptual AI and computer vision in products, invited five finalist companies to pitch their company and product to judges in front of the summit audience.

Judge’s Award: Prohawk Technology Group — Prohawk Technology Group is a computer vision restoration solutions provider that offers cutting-edge solutions to businesses across various industries. Its mission is to help its clients optimize their operations and increase their bottom line by leveraging computer vision restoration technologies.

Audience Choice Award: GMAC Intelligence — GMAC is building a drive-through automation solution for quick-service restaurants (QSRs). Their QSRBot 247 solution automates food ordering, payment, and delivery. It’s enabled by on-device implementation of vision AI, ASR, TTS, and NLP algorithms.

The winner of the Vision Tank Judge’s Award receives a $5000 cash prize, and both the winner of the Judge’s Award and the winner of the Audience Choice Award will receive a one-year membership in the Edge AI and Vision Alliance.

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Published: June 2023
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...
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.
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...
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