Edge AI and Vision Alliance Celebrate Standout Products, Companies

During the 2023 Embedded Vision Summit, Edge AI and Vision Alliance announced the 2023 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 that are enabling and developing products incorporating edge AI and computer vision technologies.

“With the accelerating pace of innovation in visual and edge AI, the number of new products being introduced using these technologies is growing exponentially and across virtually every industry,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “Our annual awards program recognizes products that are exemplary in terms of innovation and potential industry impact. We applaud this year’s winning companies and their teams for their innovation and dedication.”

Entries are judged by an independent expert panel on innovation, impact on customers and the market, and competitive differentiation.

The winners and their products:

Best Edge AI Processor: Synopsys — ARC NPX6 NPU IP

Best Camera or Sensor: Qualcomm — Cognitive ISP

Best Edge AI Software or Algorithm: Outsight — SHIFT LiDAR

Best Edge AI Developer Tool: Deci — Deep Learning Development Platform

Best Enterprise Edge AI End Product: Piera Systems — Canaree Air Quality Monitor

Best Consumer Edge AI End Product: Conservation X Labs — Sentinel Smart Camera

For more information on the awards, visit www.edge-ai-vision.com/edge-ai-vision-product-year-awards.

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Published: May 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...
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...
lidar: Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
deci: Sl prefix meaning one tenth, 10-1.

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