2024 AI Innovation Awards
For end products
The AI Innovation Award recognizes the innovation and achievement of end products that use edge AI or vision technologies.
This includes all types of end-products delivered to the consumer and enterprise markets including smart home appliances, digital health devices, drones, in-vehicle entertainment, robotics, security/surveillance systems, environmental monitoring solutions, etc. Nominations are open to the public and are evaluated by a panel of independent industry experts awarding top honors to one company in each category.
Benefits of winning
Validation of your product leadership and innovation
• Judging by a panel of independent industry experts
Gain competitive advantage
• Attract new customers and partners as your product is independently rated as one of the best products of the year!
Increased visibility
• Year-round promotion by the Edge AI and Vision Alliance
• Alliance website, social media posts, presentations and newsletters with global distribution
Eligibility
- End products sold directly to consumers or enterprises that use edge AI or vision technologies
- Products must be launched and available to end-users in 2023
- End product must support processing of AI and/or vision algorithms locally, whether on a chip, device or on-premise. We include hybrid approaches where some processing happens locally and some in the cloud. Products where all AI is implemented in the cloud are not eligible
- The nominated company must be the primary developer of the product being nominated
2024 AI Innovation Awards at a Glance
- End products that are ready-to-use solutions sold directly to consumers or enterprises
- Examples include robots, appliances, medical diagnostic equipment, retail analytics systems, autonomous drones, visual inspection solutions, environmental monitoring solutions, etc.
- Nominations open to the public
- Nomination fee: Free
- Deadline for nominations: Dec 31, 2023
- Nominated products are evaluated by a panel of independent industry experts awarding top honors to one company in each category
- Winning products will be announced at an Awards ceremony at the Embedded Vision Summit, May 21-23, 2024
Evaluation Criteria
AI Innovation Award winners are selected by an independent panel of judges, based on the following criteria:
- Innovation. How does the product use or enable edge AI or visual intelligence?
- Differentiation. How does the product compare to the closest competitor?
- Customer Impact. How does the product create new value for customers?
- Market Impact. How has the product been received in the market?
How to Nominate
FAQs
- Products must be launched and available to end-users in 2023
- End product must support processing of AI and/or vision algorithms locally, whether on a chip, device or on-premise. We include hybrid approaches where some processing happens locally and some in the cloud. Products where all AI is implemented in the cloud are not eligible
- The nominated company must be the primary developer of the product being nominated
Just send an email to [email protected]. We look forward to seeing your submission!
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.
