The Edge AI and Vision Product of the Year 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. Entries are evaluated and selected by a panel of independent industry experts, so winning an Edge AI and Vision Product of the Year Award provides validation of your leadership and innovation.
The six award categories encompass products employing or enabling the full range of edge AI applications and technologies – not limited to just vision. Any type of sensor data is eligible: images, audio, vibration, radar, lidar and the like.
There are four categories for building-block technologies, such as processors and sensors, which are open exclusively for Member companies. Also, there are two categories for end products (one for consumer and one for enterprise) that are open for all companies to enter (Alliance Members and non-Members). An end product is a product that isn’t a component of someone else’s product and is sold directly to consumers or enterprises. This includes robots, appliances, medical diagnostic equipment, retail analytics systems, autonomous drones, visual inspection solutions, environmental monitoring solutions, etc.
2023 Awards Program at a Glance
- Four categories for Alliance Member companies only
- Processors, Software and Algorithms, Cameras and Sensors, Developer Tools
- Member companies may submit entries for multiple products and categories
- Per entry fee: $395 early-bird pricing until November 30, 2022; $695 after November 30, 2022
- Two end product award categories open to all companies (Members and non-Members)
- Enterprise End Products and Consumer End Products
- Technology supplier companies should invite their customers to submit an entry
- No entry fee for these categories
- Deadline for Submissions: December 31, 2022
- Winning entries are chosen by an independent panel of judges
- Awards ceremony: May 23, 2023 at the Embedded Vision Summit
Entry Benefits
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- Validation of your product leadership and innovation
Judging by a panel of independent industry experts
- Validation of your product leadership and innovation
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- Year-round promotion by the Edge AI and Vision Alliance
Alliance home page and dedicated showcase page
Press releases, social media and presentations
Alliance newsletters with global distribution
Awards ceremony at the Embedded Vision Summit
- Year-round promotion by the Edge AI and Vision Alliance
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- Collateral to promote your winning product
Award ceremony video, winner graphic and trophy
- Attend the Embedded Vision Summit, May 22-25, 2023
Two free passes to attend the Embedded Vision Summit
One invitation to attend the Executive Networking Reception
- Collateral to promote your winning product
Judging Criteria
Edge AI and Vision Product of the Year Award winners are selected by an independent panel of judges, based on the following criteria:
- Innovation. Describe your product, highlighting your innovation and unique features.
- Differentiation. How does your product compare to the closest competitor?
- Customer Impact. How does your product create new value for your customers? What does your product enable your customers to do that they could not do previously?
- Market Impact. How has your product been received in the market? Provide links to press coverage, market research reports, customer usage, interviews, etc.
What is Edge AI and Vision?
“Edge AI and vision” refers to the practical use of artificial intelligence and computer vision in machines that perceive and understand their environment through visual and other means. By “edge AI,” we mean AI processing that occurs locally, whether on a chip, device or on-premise. We include hybrid approaches where some processing happens locally and some in the cloud. And we include edge devices that process all sorts of sensor data: images, audio, vibration, radar, lidar and the like.
Examples of edge AI systems include a warehouse robot using cameras and lidar, a smart speaker with local wake word processing, an on-premise video recorder with object detection and tracking, and a radar-based hospital patient monitor that uses AI to detect breathing, movement and sleep. By “computer vision” we mean the use of algorithms and AI to extract meaning from images or video. Examples include motion and object tracking, defect detection (e.g., on an assembly line), pedestrian detection for automobiles, and location recognition and mapping from visual inputs.
