Edge AI and Vision Alliance Crowns Product of the Year Winners

The Edge AI and Vision Alliance announced the 2022 winners of the Edge AI and Vision Product of the Year Awards. The awards celebrate the innovation and achievement of the industry’s leading companies developing products incorporating edge AI and computer vision technology.

“This is the fifth year of our awards program and once again we were impressed with the number of high-quality entries across a broad range of product categories — from building-block technologies to ready-to-use solutions delivered directly to consumers and enterprises,” said Jeff Bier, founder of the Edge AI and Vision Alliance.

Entries are judged by an independent, expert panel as to innovation, impact on customers and the market, and competitive differentiation. The winners follow:

Best Camera or Sensor: Luxonis — OAK-D-Lite

Best Edge AI Software or Algorithm: Sequitur Labs — EmSPARK Security Site 3.0

Best Edge AI Developer Tool: Edge Impulse — EON Compiler

Best Automotive Solution: Synopsys — DesignWare ARC EV7xFS Processor IP for Functional Safety

Best Enterprise Edge AI End Product: Grabango — Grabango's Checkout-Free Technology

Best Consumer Edge AI End Product: OrCam Technologies — OrCam Read

For more information about the winners, visit www.edge-ai-vision.com/the-alliance/2022-vision-product-of-the-year-winners.

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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...
edge ai: Edge AI, also known as edge artificial intelligence, refers to the deployment of artificial intelligence (AI) algorithms and models directly on edge devices, such as smartphones, sensors, IoT devices, and embedded systems, rather than relying solely on centralized cloud computing resources. On-device processing: Edge AI involves running AI algorithms and models directly on edge devices, enabling real-time data processing and decision-making without requiring data to be sent to a...
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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