Edge Impulse

Introducing the Qualcomm Dragonwing Visual Inspection Suite, from Edge Impulse — a complete, end‑to‑end AI-based computer vision solution built for Industry 4.0. Enterprises are under pressure to detect defects earlier, reduce labor costs, and increase throughput. Most “AI solutions” promise this. Very few deliver it out‑of‑the‑box. This one does. Built in collaboration with leaders in edge AI software, MLOps, and industrial IoT hardware, the Qualcomm Dragonwing Visual Inspection Suite brings together: • Qualcomm Dragonwing QCS6490 chipset • Qualcomm Hexagon 770 AI acceleration • Industrial‑grade camera options from Advantech and CODICO GmbH • Linux-based OS • Native Edge Impulse integration for labeling, training, deploying, and monitoring AI models The result: a fully integrated, enterprise‑grade system that lets quality teams deploy computer vision in days, not months. Key use cases: • OCR & label inspection • Defect detection • Assembly verification If you’re building a smart quality management strategy and need a scalable, rugged, end‑to‑end solution, this is the only offering on the market that covers the full workflow, from sensors to software to compute to monitoring. Sign up for the pilot program and download the product brief: https://lnkd.in/eRcNXhHs

Check out the latest update from our Campus Ambassadors, this installment from Ashley Nicole Leal. (Read all about our Campus Ambassador program here: https://lnkd.in/d28rDXCJ). We're thrilled to have these students representing Edge Impulse and promoting the incredible power of edge AI. ----------- At the recent #MakeUofT, Canada’s largest hardware hackathon with over 300 student participants, I had the opportunity to organize, support, and judge the "Best Use of Edge Impulse" track. While participants built across Music & Audio, Survival, and Valentine’s Day themes, the hackathon focused specifically on teams pushing the boundaries of edge AI on real hardware. To qualify, teams had to: 🔹 Collect and label their own dataset 🔹 Train and optimize a model using Edge Impulse 🔹 Deploy the model to a microcontroller such as Arduino, #STM32, or #ESP32 🔹 Demonstrate real time, on device inference physically driving hardware The goal was to recognize strong technical integration from data collection to deployment and highlight machine learning systems that run efficiently and independently at the edge. Each member of the winning team received an Arduino UNO Q for demonstrating exceptional on device implementation. 🏆 🎉 Winning project: Buzz Kill, a non-visual perimeter guard designed to detect and classify environmental threats through seismic activity, keeping campers safe at night. "The high danger data is further analyzed using an AI model trained with Edge Impulse, which classifies the situation as low, medium, or high priority." Their takeaway? "We gained experience training and deploying AI models using Edge Impulse and learned the importance of collecting clean, well-labeled datasets." You can check it out here: https://lnkd.in/edPVtF5W Huge thank you to the IEEE University of Toronto Student Branch team for making this weekend possible, and to the teams who took on the challenge of building intelligent systems under real hardware constraints. Seeing students design, train, and deploy working edge AI systems in just 24 hours is a strong reminder of how accessible and powerful embedded machine learning has become. #EdgeAI #TinyML #EmbeddedSystems #MachineLearning #MakeUofT #EdgeImpulse #Hackathon Qualcomm Qualcomm Dragonwing

Watch our very own Stefano Implicito and Edge Impulse's Heath Blandford showcase a multi-stage computer vision vehicle monitoring system built on Arduino UNO Q, highlighting how data can be captured and processed locally and then shared with a cloud-based LLM to enable connected insights and status awareness.

Join our free engineer-to-engineer webinar where Foundries.io and Edge Impulse will show how to build the Linux infrastructure needed to move from a trained model to a deployment-ready product. This webinar is designed to bridge the gap between knowing how to train and optimise AI models, and having a clear, secure, and repeatable path to deploying them on embedded Linux devices in production. 🗓️ Monday May 18th, 4pm BST Register here: https://lnkd.in/emip5huS #AutomotiveElectronics #AutomotiveEngineering #EmbeddedSystems #FunctionalSafety #ADAS #VehicleSystems #AutomotiveDesign #EngineeringWebinar #MicroelectronicsUS #Arduino #EmbeddedSoftware #ProductDevelopment Qualcomm Jim Bruges Adam Yap Raul Muñoz

We're in Austin this week for Microelectronics US, showcasing how Edge AI is transforming industrial operations, and we're bringing a lot of fun elements with us. Register free here: https://lnkd.in/ecauEVNH We'll have four talks and presentations at the event, including: • Heath Blandford presenting on key edge AI trends shaping the embedded industry, on Wednesday, April 22, from 10:40–11:20am. Details: https://lnkd.in/eQrGfeqA • David Tischler, "Getting Started with Edge AI , the Easy Way," April 22, 3:15PM. https://lnkd.in/eg-w4VMG • Alexis Susset on "Building AI-Driven Quality Control: Softwares, Models, Hardware, & Deployment," April 23, 10:15–10:35am. Details: https://lnkd.in/e2SegtVx • And Alexis also appears on the panel "Smart Factories & Embedded Tech for Autonomous Manufacturing," April 23 from 11:55–12:35 (with Ken Briodagh/Embedded Computing Design, Oscar Villegas/Tesla, Andrea Baccara/JBT Marel, and Margaret Upshur/Mobius Materials). Details: https://lnkd.in/er8S_dQ4 ---- If you're attending, stop by booth #129 to see our live demos, including: the Intelligent Factory powered by Edge AI, our XR Worker Assistant, and the new Qualcomm Dragonwing Visual Inspection Suite (learn all about it here as well: https://lnkd.in/eRcNXhHs) We're thrilled to be the headline sponsor, and excited to talk to you about how edge AI is transforming industries. Looking forward to connecting with teams who are building the next generation of intelligent devices and industrial systems. #ai #edgeAI Qualcomm

Edge Impulse is coming to London! Join us June 7–9 at EDGE AI London 2026 (hosted by EDGE AI FOUNDATION), where the European edge AI community will meet to learn, build, and accelerate the future of on-device intelligence addressing specific challenges and opportunities for the European community. Held in conjunction with Hardware Pioneers Max, developers, researchers, industry leaders, and innovators will explore the latest breakthroughs and real-world deployments shaping edge AI today. The program includes a presentation from Edge Impulse senior embedded software engineer Dmitry Maslov: VLM deployment on Edge Devices — the Why and How As we move into the future of AI, Visual Language Models (VLMs) will increasingly be run on edge devices. This session outlines the process for testing, tuning, and deploying them. It also highlights Edge Impulse’s deployment options, using the Qualcomm IQ‑9075 EVK as the reference hardware platform. Register here: https://lnkd.in/e5TKvxZa See you in London! #ai #edgeAI Qualcomm Dragonwing Qualcomm Developer

Mark your calendars! We're excited to join Edge Impulse for Imagine Innovators Europe, taking place May 20th in Amsterdam! 🇳🇱 Builders, engineers, and innovators shaping the future of edge AI will come together to explore topics ranging from robotics and AI agents to smarter, more efficient neural networks for deployment. Come meet the team and discover how the new Arduino UNO Q, VENTUNO Q, and App Lab are bringing real-world intelligence to everyone. 🎟️ Registration is free, so save your spot now! https://lnkd.in/ekznAMbf

Join us and Supplyframe Design Lab, Qualcomm Developer, Arduino, and EDGE AI FOUNDATION for a livecast of the UNO Q EchoGlow Workshop. Dive deep into building, optimizing, and deploying AI models on real hardware, as participants learn how to create their very own smart lighting system that changes colors and responds to their voices. Participants will collect sample data and build a model with Edge Impulse, assemble a custom-built LED board and enclosure to house an UNO Q, and deploy their edge AI model to the finished device. This workshop took place at Edge AI San Diego 2026. Part 1: https://lnkd.in/e2a44X_H Part 2: https://lnkd.in/ekyQvHih #edgeAI #AI Qualcomm Qualcomm Dragonwing

Want to see what leading robotics teams are doing differently in 2026, and go into the running to win an Arduino UNO™ Q? Join our engineer-to-engineer discussion focused on practical solutions you can apply directly to your next design. Following on from Microelectronics Global Austin, Texas, we bring together experts from Arduino, Edge Impulse and Embedder, and the tools behind today’s most advanced robotics systems. 🗓️ Wednesday 6th of May, 5pm BST Register here: https://lnkd.in/eR8Vw9sW #Robotics #EmbeddedSystems #EdgeAI #RoboticsEngineering #IndustrialAutomation #EngineeringWebinar #MicroelectronicsUS #EdgeImpulse #Arduino #ProductDevelopment #RoboticsDesign #ElectronicsEngineering Qualcomm