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
Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™
Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without reprogramming the FPGA, supports sparse networks using structured
Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection
Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity
From Silicon to Ecosystems: The New Edge AI Competitive Model
This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. For years, silicon providers have benefited from a well-established stakeholder ecosystem of traditional sales, direct markets
NXP Tech Days Comes to Silicon Valley
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded
Mistral’s 8B Robostral Navigate Steers Robots Using a Single RGB Camera
Mistral AI has introduced Robostral Navigate, an 8-billion-parameter embodied navigation model designed to move robots through unfamiliar environments using natural-language instructions and images from a single RGB camera. Unlike many vision-language navigation systems, it does
Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs
Prakash Battu, Senior Manager of Design Engineering at Microchip, shares the company’s latest SDI-to-HDMI cross-converter solution. Built on PolarFire® FPGAs, the application supports dynamic rate switching and embedded audio across all SDI standards from 1.5G
Real-Time Vision-Language Inference on AMD Radeon™ iGPU Using ROCm™
This demonstration showcases a real-time vision-language inference pipeline running on an AMD Radeon™ integrated GPU, highlighting multimodal AI capabilities on power-efficient embedded platforms. The system processes live or recorded video streams and enables interactive question
From Silicon to Scale: How DEEPX Is Scaling Developer Support
When your chip is running inside 30 partner ecosystems across 8 countries, how you manage and deliver technical knowledge becomes as critical as the silicon itself. This blog post was originally published at Rapidflare’s website. It
NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI
New NVIDIA Blackwell-powered T3000 and T2000 modules, paired with new NVIDIA Jetson software memory optimization and agent skills, help partners and customers move advanced robotics, visual AI and edge workloads onto compact, power-efficient systems.
Technologies
Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™
Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without reprogramming the FPGA, supports sparse networks using structured and unstructured compression and provides power-efficient inference and video pipelines delivering less than 5W power consumption. This Broad AI model
Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection
Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity verification using a single RGB camera and on-device processing. The solution combines facial recognition with liveness detection to help identify
From Silicon to Ecosystems: The New Edge AI Competitive Model
This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. For years, silicon providers have benefited from a well-established stakeholder ecosystem of traditional sales, direct markets and customer solutions that have been pioneering the physical AI deployment. Today, that success requires a lot more work. Silicon
Applications
Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection
Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity verification using a single RGB camera and on-device processing. The solution combines facial recognition with liveness detection to help identify
NXP Tech Days Comes to Silicon Valley
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP
Mistral’s 8B Robostral Navigate Steers Robots Using a Single RGB Camera
Mistral AI has introduced Robostral Navigate, an 8-billion-parameter embodied navigation model designed to move robots through unfamiliar environments using natural-language instructions and images from a single RGB camera. Unlike many vision-language navigation systems, it does not require LiDAR, depth sensing or a panoramic multi-camera rig. On the R2R-CE validation-unseen benchmark, Mistral reports a 76.6% success
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
