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
“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI
Pete Warden, CEO at Moonshine AI presents “Building a Local Voice Agent on a Raspberry Pi” at the May 2026 Embedded Vision Summit. In this talk, Warden explains everything you need to know to build
Why Most AI Performance Metrics Break Down in Production
This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence systems often appear highly effective during development. Models achieve strong benchmark scores, validation metrics improve over
MemryX Expands Cascade Platform, Bringing Power-Efficient Edge AI to Servers
Introducing an expanded portfolio of modules that gives developers a single, scalable architecture to power everything from low-power devices to enterprise edge infrastructure ANN ARBOR, Mich., June 22, 2026 /PRNewswire/ — As AI moves from cloud environments
STMicroelectronics Unveils New Compact Direct Time-of-Flight 3D LiDAR Module
Key Takeaways VL53L9 is the first direct Time-of-Flight (dToF) 3D LiDAR all-in-one module in ST’s portfolio, offering a resolution of 2.3K zones, wide field of view, on-chip processing, 100 frames per second, and sensing range from
“Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems,” a Presentation from Quadric
Mike Leonard, Software Architect at Quadric presents “Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems” at the May 2026 Embedded Vision Summit. World-scale vision-language-action (VLA) models are the new frontier in AI for
Powering Edge AI at Scale: Synaptics Astra SRW1500 Series Single-Chip AI MCU
From the early days of the Internet of Things (IoT), connected devices have been highly effective at sensing and processing real-world inputs. But as AI workloads grow more demanding and real-time responsiveness becomes critical, the
SiMa.ai and Mistral Solutions, a subsidiary of AXISCADES, Partner to Accelerate Autonomous Drone Intelligence
Joint reference design combines Mistral’s embedded systems expertise with SiMa.ai’s Physical AI platform to deliver the fastest path to autonomous drone deployment. SAN JOSE, Calif. (June 23, 2026) and NEW DELHI (June 24, 2026) — SiMa.ai,
BrainChip Unveils Communication Reference Platform, Fueling Signal Intelligence at the Edge
LAGUNA HILLS, Calif. – June 23, 2026 – BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, BCHPY), the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform for RF
“How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU,” a Presentation from OpenMV
Kwabena Agyeman, Joseph Nelson, President at OpenMV presents “How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU” at the May 2026 Embedded Vision Summit. Running computer vision on
Technologies
“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI
Pete Warden, CEO at Moonshine AI presents “Building a Local Voice Agent on a Raspberry Pi” at the May 2026 Embedded Vision Summit. In this talk, Warden explains everything you need to know to build your own voice agent running entirely on a stock Raspberry Pi 5, with no internet… “Building a Local Voice Agent
Why Most AI Performance Metrics Break Down in Production
This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence systems often appear highly effective during development. Models achieve strong benchmark scores, validation metrics improve over time, and performance looks predictable within controlled environments. But once those same systems are deployed into real-world conditions, results frequently
MemryX Expands Cascade Platform, Bringing Power-Efficient Edge AI to Servers
Introducing an expanded portfolio of modules that gives developers a single, scalable architecture to power everything from low-power devices to enterprise edge infrastructure ANN ARBOR, Mich., June 22, 2026 /PRNewswire/ — As AI moves from cloud environments into factories, transportation systems, robotics, and intelligent infrastructure, developers face growing challenges related to power consumption, memory bandwidth, deployment complexity,
Applications
SiMa.ai and Mistral Solutions, a subsidiary of AXISCADES, Partner to Accelerate Autonomous Drone Intelligence
Joint reference design combines Mistral’s embedded systems expertise with SiMa.ai’s Physical AI platform to deliver the fastest path to autonomous drone deployment. SAN JOSE, Calif. (June 23, 2026) and NEW DELHI (June 24, 2026) — SiMa.ai, a leader in Physical AI, and Mistral Solutions, a leader in embedded systems and drone product engineering, today announced a
BrainChip Unveils Communication Reference Platform, Fueling Signal Intelligence at the Edge
LAGUNA HILLS, Calif. – June 23, 2026 – BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, BCHPY), the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform for RF signal classification using BrainChip’s Akida AKD1500 neuromorphic processor. The platform is a critical tool for defense contractors and government agencies
Upcoming Workshop on Data-centric Software-defined Vehicle Systems
On July 9-10, 2026 at 11:00 am PDT (2:00 pm EDT), NXP partner ITTIA will present the online workshop “Building Data-Centric SDV Systems on NXP S32 Automotive Processing Platform.” Workshop sessions will also be hosted for Europe attendees June 29-30, 2026 at 3:00 pm CET, and for Asia attendees July 7-9, 2026 at 9:00 am
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
