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
FotoNation and SEMIFIVE Announce Strategic Collaboration for Turnkey Development of TriSilica Perceptual AI Chip Family Using Samsung Foundry
Collaboration to accelerate the commercialization of FotoNation’s ultra-low-power sensor-fusion SoCs for edge AI applications GALWAY, Ireland, and SEOUL, South Korea – May 11 th , 2026 – FotoNation Ltd., a European-based Perception Recognition company and
Face Super Resolution for Better Video Experiences
This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. Video has become the primary medium for communication — from hybrid meetings to live events and social media.
Scalable FPGA Prototyping for AI SoCs: Handling Massive Parallelism and Bandwidth
This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. Creating an AI System-on-Chip (SoC) today resembles conducting a thousand musicians playing different melodies at once; each
NPX6 NPU IP Accelerates Physical AI SoC Performance
To meet the evolving performance and power-efficiency needs of generative AI (GenAI) and Physical AI models targeting for AI-driven SoCs, Synopsys has announced an enhanced version of its silicon-proven ARC® NPX6 NPU IP family of
FotoNation Completes a Pre-A Round to Fund the Development of its TriSilica Chip Lead by Enterprise Ireland and Silicon Gardens
GALWAY, Ireland, May 7, 2026 /PRNewswire/ — FotoNation® LTD., a Galway-based company, announced it has closed its Pre-A round led by Enterprise-Ireland and Silicon Gardens, with participation from other notable Angels. This capital will accelerate FotoNation’s mission to
On-Demand Webinar on Deploying Computer Vision and LLMs at the Edge
Check out this recent webinar from Boston.AI “Reality Check: Deploying Computer Vision and LLMs at the Edge” From the event page: AI workloads are moving closer to where data is generated — but how close
How Pre-Built AI Models Speed Up Factory Inspection Deployment
This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Did you know that over 35% of manufacturing defects go undetected during traditional visual inspections, costing factories millions in rework
Upcoming Webinar on Computer Vision and Edge AI for Defect Detection
On May 14, 2026, at 12:00 pm PDT (2:00 pm EDT) TDK SensEI will deliver a webinar “Using Computer Vision and edge AI for Defect Detection” From the event page: Join Sundeep Ahluwalia, Chief Product
Falcon Takes Flight: Connect Tech’s Vehicle AI Platform Was Built for the Worst Conditions on Earth
This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. Dust. Vibration. Mud. Sub-zero mornings and scorching afternoons. These are the conditions that kill most compute
Technologies
Synetic Debuts LYNX Computer Vision SDK at the 2026 Embedded Vision Summit
New SDK helps teams add real-time vision capabilities to robotics, industrial automation, security and edge AI systems with faster deployment, flexible integration and continuous model improvement REDMOND, Wash. — May 11, 2026 — Synetic, Inc., a provider of computer vision and synthetic data solutions for real-world AI systems, today announced the debut of LYNX, a
What is a spatial filter, and how does it enhance Depth Quality in ToF Cameras?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras generate depth maps by measuring the phase shift between emitted near-infrared light and its reflection. Each pixel records the shift, which is then converted into distance information. But raw depth maps tend to contain
Renesas Completes Acquisition of Irida Labs to Expand Vision AI Software Capabilities and Accelerates System-Level Vision Solutions
TOKYO, Japan ― Renesas Electronics Corporation (TSE:6723, “Renesas”), a premier supplier of advanced semiconductor solutions, today announced that a subsidiary of Renesas has completed the acquisition of Irida Labs, a Greece-based company specializing in embedded software for AI-powered visual perception systems. The acquisition strengthens Renesas’ edge AI embedded processing offerings, a key secular growth area for Renesas. It also enables system-level solutions that integrate physical AI and software to power camera and machine
Applications
Physical AI: 8 Questions Every Engineering Leader Is Asking
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Jensen Huang called it at CES 2025: “The next frontier of AI is physical.” Since then, the phrase has been everywhere — in investor decks, conference keynotes, and vendor pitches. But for the software engineering managers, directors, VPs, and
Chips&Media Completes Development of Next-Gen ‘AV2’ HW Decoder IP
Key Takeaways: Implementing AOMedia’s latest AV2 standard as world-class HW IP, leading the next-gen video ecosystem Targeting the North American Big Tech-led OTT market (YouTube, Netflix) and solidifying the justification for global standard adoption HW RTL release in May with active commercial licensing talks underway with major North American clients May 12, 2026 – Chips&Media
Everything Is Going to Be Driven by Algorithms
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A security camera on a warehouse loading dock captures 86,400 seconds of video every day. A fleet telematics recorder on a long-haul truck accumulates gigabytes of road footage between fuel stops. A surgical robot’s stereo cameras generate
Functions
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
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
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
