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
Beyond TOPS: The First Full-Pipeline AI Vision Benchmark
Beyond TOPS: The First Full-Pipeline AI Vision Benchmark EdgeFirst Perception Index profiles the entire perception pipeline — from CoreML to CUDA, desktop GPU to sub-7-watt edge NPU — and is the first independent benchmark to
Lattice FPGA Embedded Vision: Real-Time ISP Pipeline with Integrated Tuning Tool
Lattice Semiconductor demonstrates a complete end-to-end vision pipeline running entirely on an FPGA, from CSI camera input to screen output. Raw sensor data is processed by an on-chip ISP that converts it to a clean
Video over Ethernet on Lattice CrossLink™-NX FPGA: Microsecond Latency Demo
Tecphos demonstrates real-time video over Ethernet using a Lattice CrossLink-NX 40 FPGA at the Embedded Vision Summit. The FPGA captures raw image data from a MIPI image sensor, processes and scales it, and simultaneously delivers
Why High-Resolution 3D Depth Is Critical for Next-Generation Robots
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. When discussing 3D depth cameras, “high-resolution” refers to a sensor’s ability to capture a dense, detailed
Mark Oliver Demonstrates AI Segmentation Accelerated in Hardware AI Accelerators on the FPGA Fabric
Mark Oliver, the VP of Marketing at Efinix demonstrates how multiple AI models can be compiled to run on dedicated AI accelerators implemented in the high performance Titanium FPGA family. He shows how Efinix supplied
Mark Oliver Demonstrates the Power of Custom Instruction Acceleration for Edge AI
Mark Oliver, the VP of Marketing at Efinix demonstrates the ability to run four independent AI models on the hardened quad core processor inside the Titanium family of FPGAs. He shows how an intuitive software
What Defines a True 200-Megapixel Experience?
This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Smartphone cameras have evolved far beyond simple tools for capturing moments. Today, users want to frame
Mark Oliver Demonstrates Super Resolution on the Power-Efficient Efinix Titanium FPGAs
Mark Oliver, the VP or Marketing at Efinix demonstrates the superior performance of an AI algorithm to perform super resolution on a low resolution image. This approach is only feasible due to the low power
Cadence x MosChip Demo: On-Device SLM Voice Agent on a Vision DSP (Cloud-Free Conversational AI)
This demonstration by MosChip and Cadence shows a Small Language Model (SLM) voice assistant running entirely on-device on the Cadence Tensilica Vision Q7 DSP within an Axera AX650N platform – with no cloud connection.
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
