Edge AI and Vision Product of the Year Awards – Award Categories

Award Categories Open to Alliance Members

The 2026 Awards program features seven product categories, showcasing
groundbreaking technologies that make AI and computer vision smarter, faster, and more efficient at the edge.

1. Edge AI Processors

Edge processor components delivered as integrated chips (ICs) that are designed to accelerate artificial intelligence and vision workloads directly on edge devices, including system-on-chips (SoCs), microprocessor units (MPUs), microcontroller units (MCUs), graphics processing units (GPUs), neural processing units (NPUs), processors implemented in field-programmable gate arrays (FPGAs), and dedicated AI accelerators. This category focuses on processors delivered as ICs. It excludes image signal processors (ISPs), codecs, digital signal processors (DSPs), and vision processors, which are recognized within the Cameras and Sensors category.

2. Edge AI Processor IP

Edge processor components delivered as intellectual property (IP) for edge processor
designs, including system-on-chips (SoCs), microprocessor units (MPUs),
microcontroller units (MCUs), graphics processing units (GPUs), neural processing units (NPUs), processors implemented in field-programmable gate arrays (FPGAs), and dedicated AI accelerators. This category focuses on processors delivered as intellectual property (IP). It excludes image signal processors (ISPs), codecs, digital signal processors (DSPs), and vision processors, which are recognized within the Cameras and Sensors category.

3. Edge AI Software and Algorithms

Software frameworks, libraries, and algorithms that optimize, accelerate, or enable artificial intelligence and computer vision workloads at the edge. Examples include optimized inference engines, computer vision libraries, and specialized AI algorithms for tasks such as object detection, recognition, tracking, and multimodal data fusion.

4. Edge AI Large Multimodal Models

Large multimodal models (LMMs) are advanced deep learning algorithms capable of processing, understanding, and generating content across various data types, including text, images, audio, and/or video. LMMs enable applications that were previously difficult or impossible to achieve with language-only or image-only models.

5. Cameras and Sensors

Camera and sensor products that enhance visual and multimodal perception in edge AI systems.

  • Camera products include devices and components designed for image capture, processing, and optimization. These include cameras, camera modules, and supporting processing components, which can be delivered as hardware, software, or intellectual property. Examples include industrial cameras, camera modules, image signal processors (ISPs), codecs, digital signal processors (DSPs), and vision processors.
  • Sensor products consist of sensors and sensor modules that enable the capture and interpretation of various data types for edge AI systems. Examples of these include image sensors, depth sensors, time-of-flight (ToF) sensors, microphones and audio arrays, environmental sensors (like temperature, humidity, gas, and air quality sensors), as well as vibration and motion sensors, radar, and lidar.

6. Edge AI Development Platforms

Tools and platforms that enable the creation, debugging, optimization, maintenance, and deployment of software for edge AI and vision-based systems. Examples include software development kits (SDKs), compilers, model optimizers, and end-to-end AI development platforms, serving users such as AI/ML engineers, data scientists, and software developers.

7. Edge AI Computers and Boards

Complete computing systems and modular hardware designed for developing and running AI and vision workloads at the edge, including edge servers, reference designs, development kits, single-board computers, and system-on-modules.
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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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