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

Let’s Visit the Zoo

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. The term “model zoo” first gained prominence in the world of AI / machine learning beginning in the

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New IDTechEx Report: Sensor Market 2026-2036

This article was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. IDTechEx forecasts that the global sensor market will reach US$250B by 2036 as global mega-trends in mobility, AI, robotics,

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Technologies

Articles

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

This article was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create ‘dust noise’ in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical

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Algorithms

Low-Light Image Enhancement: YUV vs RAW – What’s the Difference?

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the world of embedded vision—whether for mobile phones, surveillance systems, or smart edge devices—image quality in low-light conditions can make or break user experience. That’s where advanced AI-based denoising algorithms come into play. At our company, we

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Algorithms

NVIDIA-Accelerated Mistral 3 Open Models Deliver Efficiency, Accuracy at Any Scale

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The new Mistral 3 open model family delivers industry-leading accuracy, efficiency, and customization capabilities for developers and enterprises. Optimized from NVIDIA GB200 NVL72 to edge platforms, Mistral 3 includes: One large state-of-the-art sparse multimodal and multilingual mixture of

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Applications

Ambarella

Ambarella’s CV3-AD655 Surround View with IMG BXM GPU: A Case Study

The CV3-AD family block diagram. This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. Ambarella’s CV3-AD655 autonomous driving AI domain controller pairs energy-efficient compute with Imagination’s IMG BXM GPU to enable real-time surround-view visualisation for L2++/L3 vehicles. This case study outlines the industry shift

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Aerospace and Defense

Overcoming the Skies: Navigating the Challenges of Drone Autonomy

This blog post was originally published at Inuitive’s website. It is reprinted here with the permission of Inuitive. From early military prototypes to today’s complex commercial operations, drones have evolved from experimental aircraft into essential tools across industries. Since the FAA issued its first commercial permit in 2006, applications have rapidly expanded—from disaster relief and

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Algorithms

NVIDIA Advances Open Model Development for Digital and Physical AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA releases new AI tools for speech, safety and autonomous driving — including NVIDIA DRIVE Alpamayo-R1, the world’s first open industry-scale reasoning vision language action model for mobility — and a new independent benchmark recognizes the openness and

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Functions

Algorithms

SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI

Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual

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Biometrics

TLens vs VCM Autofocus Technology

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications

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Algorithms

“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai

Sage Elliott, AI Engineer at Union.ai, presents the “Object Detection Models: Balancing Speed, Accuracy and Efficiency,” tutorial at the May 2025 Embedded Vision Summit. Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the… “Object Detection Models: Balancing Speed,

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