Resources

Resources

In-depth information about the edge AI and vision applications, technologies, products, markets and trends.

The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.

All Resources

Technologies

Market Analysis

$1 Trillion by 2030: The Semiconductor Devices Industry is On Track

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Entering a new growth cycle, the surge in the semiconductor industry is driven by the rise of generative AI processors and HBM[1] OUTLINE Market evolution: with a $672 billion market in 2024[2],

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Algorithms

From Seeing to Understanding: LLMs Leveraging Computer Vision

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. From Face ID unlocking our phones to counting customers in stores, Computer Vision has already transformed how businesses operate. As Generative AI (GenAI) becomes more compelling and accessible, this tried-and-tested technology is entering a new era of

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Algorithms

Autonomous Cars are Leveling Up: Exploring Vehicle Autonomy

When the Society of Automotive Engineers released their definitions of varying levels of automation from level 0 to level 5, it became easier to define and distinguish between the many capabilities and advancements of autonomous vehicles. Level 0 describes an older model of vehicle with no automated features, while level 5 describes a future ideal

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Applications

Algorithms

Autonomous Cars are Leveling Up: Exploring Vehicle Autonomy

When the Society of Automotive Engineers released their definitions of varying levels of automation from level 0 to level 5, it became easier to define and distinguish between the many capabilities and advancements of autonomous vehicles. Level 0 describes an older model of vehicle with no automated features, while level 5 describes a future ideal

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Automotive

STMicroelectronics and HighTec EDV-Systeme Collaborate for Safer Software-defined Vehicles

Where safety meets safety: ST’s Stellar MCUs certified to the highest level of risk management, ISO 26262 ASIL D, are now supported with the same safety level by HighTec’s Rust compiler Geneva, Switzerland and Saarbrücken, Germany, February 4, 2025 – STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications,

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Algorithms

Empowering Civil Construction with AI-driven Spatial Perception

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced

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Functions

Algorithms

Empowering Civil Construction with AI-driven Spatial Perception

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced

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Automotive

Seeing In the Dark: Infrared for Automotive

Infrared sensors are becoming more popular in vehicles for advanced driver assistance systems (ADAS), in-cabin sensing, and driver monitoring systems (DMS), largely due to advancements in vehicle safety and awareness. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores the types of infrared sensors that are commonly used, and forecasts for

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Algorithms

Multimodal Large Language Models: Transforming Computer Vision

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article introduces multimodal large language models (MLLMs) [1], their applications using challenging prompts, and the top models reshaping computer vision as we speak. What is a multimodal large language model (MLLM)? In layman terms, a multimodal

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