Edge Impulse

Webinar - Revolutionize Industrial Control by Deploying Anomaly Detection Models in PLCs Learn how to deploy a Machine Learning solution to the Arduino Opta PLC and connect it to the cloud over cellular with the Blues Notecard.

New project: Discover how Edge Impulse's AI platform powers a low-cost, automated pick-and-place system using an Arduino Braccio ++ robotic arm, a Luxonis OAK-D depth camera, and a Raspberry Pi 5.

Engineer Naveen Kumar's work showcases the versatility of Edge Impulse in integrating AI with hardware to solve real-world manufacturing challenges.

Read the post here: https://www.edgeimpulse.com/blog/building-a-pick-and-place-system-with-edge-impulse/

Your First Robot Arm: Building a Smart Pick-and-Place System with Edge Impulse One engineer built a low-cost pick-and-place system leveraging a Raspberry Pi and Arduino Braccio ++ robotic arm alongside an Edge Impulse-trained YOLOv5 model for efficient on-device object detection and movement.

What a way to kick off the debut of embedded world Exhibition&Conference's US series — with a "Best In Show" award for our groundbreaking visual anomaly detection algorithm!

AI and Machine Learning category:
"Edge Impluse’s FOMO-AD technology for unlocking visual anomaly detection on any edge device, from NVIDIA GPUs to Arm MCUs."

Get the details here:
https://embeddedcomputing.com/application/misc/embedded-world-north-america-2024-best-in-show-winners

We'll be at Embedded World in Austin Texas from October 8th to the 10th. Check out our booth and activity information here: https://www.linkedin.com/feed/update/urn:li:activity:7247250493658267648

Meet our new ROI Calculator — live now!

We've created the Edge Impulse ROI Calculator to help professional groups assess the cost of going DIY vs using Edge Impulse for their edge AI solutions.

Learn more about the calculator in our announcement post: https://www.edgeimpulse.com/blog/introducing-roi-calculator/

Jump straight into the calculator to evaluate your use case: https://edgeimpulse.com/roi-calculator

Calculator Easily calculate the ROI of using Edge Impulse versus traditional in-house development for your edge machine learning platform.

Imagine 2024 is a wrap! Here is our recap from the incredible day: https://edgeimpulse.com/blog/imagine-2024-recap-shaping-the-future-of-edge-ai-innovation/

Were you there, or watching online? Let us know your favorite moments too.

Imagine 2024 Recap: Shaping the Future of Edge AI Innovation The fourth annual Imagine conference brought together incredible presentations, conversations, demos, and announcements. Catch all the highlights here.

This one has it all: Sensor fusion, Python SDK, Bring your Own Model, Arduino, data collection. Learn how to take a fire-detection solution to the next level with Edge Impulse.

Sensor Fusion Ignites Next-Gen Fire Detection By combining visual and temperature data on an Arduino Nano 33 BLE Sense, engineer Solomon Githu demonstrates how sensor fusion enables accurate fire detection on resource-constrained platforms.

Announcing the fourth annual Imagine conference! Join us on September 24th to learn how leading enterprises are solving their biggest challenges with edge AI at our flagship event. Hear from Arm, NVIDIA, Capgemini, and more, and get up to speed on the latest features, innovations, and best practices in edge AI.

Don’t miss out on:
• Insightful keynotes from industry leaders
• Live demos showcasing edge AI in action
• Networking opportunities with top professionals in the AI community

Register now for this free event, either in person in Mountain View, CA, or online: edgeimpulse.com/imagine

Imagine 2024 - The conference for edge AI Join us for the premier edge AI event for the real world, with presentations and demonstrations from top technology leaders and innovators.

New feature launch — Impulse Experiments! Now in Edge Impulse, users can test multiple ways to process their data *concurrently* to develop their ideal AI model, rather than resetting the entire workflow and starting from scratch each time a different result is desired. Available now to all users!

Impulse Experiments: Revolutionize Your AI Project Workflow Accelerate your project development cycles by experimenting with different impulses simultaneously — along with many other upgrades.

GenAI for the Edge! Join our upcoming webinar to learn the latest innovations in leveraging Large Language Models (LLMs) for ultra-compact edge AI models, brought to you by Edge Impulse co-founder and CTO Jan Jongboom.

Gain insights into the integration of LLMs with edge AI, discover advanced visual models like NVIDIA TAO, along with optimization techniques, explore deployment options for edge AI models, and more.

Join us August 1st at 8am PT/5pm CET.

Registration and details here: https://edgeimpulse.com/events/genai-for-the-edge-harness-the-power-of-llms-on-edge-devices

GenAI for the Edge: Harness the Power of LLMs on Edge Devices In this webinar, join Edge Impulse’s CTO and co-founder, Jan Jongboom, to explore innovations in leveraging LLMs for ultra-compact edge AI models. Discover how to harness the powerful capabilities of LLMs to automatically analyze and label visual data and how to apply the LLM’s specific understa...

Introducing our synthetic data generation integration, built directly into the Edge Impulse platform — a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI model creation.

Introducing Synthetic Data Generation in Edge Impulse Announcing a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI model creation in Edge Impulse.

We now support Arduino Projects's Nano 33 BLE Sense Rev2. Learn more on our blog below.

Official Support for the Arduino Nano 33 BLE Sense Rev2 Edge Impulse users can now natively utilize the Arduino Nano 33 BLE Sense Rev2 development board on their projects.

This self-powering “electronic skin” is embedded with sensors to read and transmit health indicators like heart rate, body temperature, and blood sugar.

Energy Harvesting for Wearable Technology Steps Up Tiny worn devices won’t need batteries thanks to these innovations

Daniel Situnayake recently shared his thoughts with Techopedia.com on how edge computing is reshaping the landscape of computer vision, moving to an era of enhanced perception and intelligent decision-making right at the device level.

7 Top Applications for Computer Vision on the Edge Companies can use edge-based computer vision for many purposes, including detecting defects in products during manufacturing.

Renesas Electronics has introduced the industry's first Cortex-M85 processor, the RA8M1, with Arm Helium technology to improve DSP and machine learning performance.

Renesas RA8M1 is the world's first Arm Cortex-M85 microcontroller - CNX Software Renesas RA8M1 is an up to 480 MHz Arm Cortex-M85 microcontroller with Arm Helium technology to improve DSP and machine learning performance on Cortex-M

AI algorithms running on edge devices now offer real-time insights and actions that can improve response.

AI at the edge: Fast times ahead for 5G and the Internet of Things AI algorithms running on edge devices now offer real-time insights and actions that can improve response times.

Great rundown of why edge ML is so handy for tasks like gesture detection! Double tap has officially arrived on the Apple Watch Series 9 and Ultra 2 as part of the watchOS 10.1 public release.

The Apple Watch’s double tap gesture points at a new way to use wearables Petition to rename it the pinchy pinch, though.