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
Image Quality Labs Launches IQL/poLight/Sunex MLens EVK System for Embedded Vision and Machine Vision Development
DURHAM, N.C., April 16, 2026 — Image Quality Labs, Inc. today announced the launch of the IQL/poLight ASA/Sunex, Inc. MLens® EVK System, a new evaluation platform designed to help engineers assess electronically tunable focus for
Neuromorphic Computing Enables Ultra-low Power Edge Devices
This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Over the last five years, neuromorphic computing has rapidly advanced through the development of state-of-the-art hardware and software
MPEG-5 LCEVC: A practical shift for industrial AI video pipelines
This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. In Industrial and Defense environments, I hear the same story. More cameras. Higher resolutions. Stricter latency targets. Infrastructure that cannot be
Upcoming Webinar on Building an Object Detection Pipeline
On May 27, 2026, at 10:00 am PDT (1:00 pm EDT) Intel will deliver a webinar “From Annotation to Deployment: Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO™” From the event page: Learn
“Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices,” a Presentation from the University of California, Santa Cruz
Katia Obraczka, Professor of Computer Science and Engineering, University of California, Santa Cruz, Pranay Kocheta, Lexington High School, and Nayan Bhatia, University of California, Santa Cruz present the “Non-Contact Vital Sign Monitoring Using Low-Cost WiFi
Bosch and Qualcomm Expand Collaboration to Strategic ADAS Solutions
Highlights: High performance solutions: Bosch and Qualcomm aim to make ADAS solutions for enhanced safety and comfort available to everyone. Continued Business Momentum: Collaboration has secured significant new business wins for both next-generation ADAS and
Key Trends Shaping the Semiconductor Industry in 2026
This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. The hardware boom is slowing down. What comes next is a software, power, and inference problem—and
Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics
TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines. Texas
Upcoming Webinar on Akida Radar Reference Platform
On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join
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
