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 starting from scratch each time a different result is desired. Available now to all users! https://lnkd.in/g4nb_-mf #ai #edgeai
Edge Impulse
Software Development
San Jose, California 40,936 followers
Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge AI products.
About us
Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products. Our technology empowers developers to bring more AI products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. Edge Impulse provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced AI with streaming data. With over 100,000 developers, and partnerships with the top silicon vendors, Edge Impulse delivers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem.
- Website
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https://www.edgeimpulse.com
External link for Edge Impulse
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Jose, California
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Machine Learning, Artificial Intelligence, Embedded Computing, MLOps, DevOps, MCU, CPU, Developer User Experience , Sensor, Audio, Computer Vision, Datalogs, and Smart Devices
Locations
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Primary
San Jose, California 95128, US
Employees at Edge Impulse
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Sophia Zimmermann
Technical Partner Account Manager | Chief Technology Enthusiast | Bridge Strategy and Execution | Deliver Technology Solutions | Orchestrate Global…
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Bryan Kester
AI-powered construction monitoring and funding | CEO of Sitewire
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Ken Forster
Industrial Impact® Venture Capital
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Spencer Huang
Chief Revenue Officer at Edge Impulse | Machine Learning / Edge AI | LinkedIn Top Voice 💡 Influencer
Updates
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Need to keywords spotting in a language you don't speak? Here's how to easily use Edge Impulse to get all the voice samples you need, train the model, and deploy it to extremely tiny MCUs to run on-device. https://lnkd.in/g_nuPzzV #ai #edgeai #keywordspotting #keyworddetection Dmitry Maslov
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In his latest Tutorial, Naveen Kumar shows how to create an object detection model in Edge Impulse, and then export and run it on the official Raspberry Pi AI Kit powered by a Hailo-8L accelerator module. 🥧 🚀 Learn how to build your own custom computer vision model in Edge Impulse, use the Dataflow Compiler to convert it to the Hailo executable format, then run the binary on the accelerator. There is sample code included for counting objects in live video, as well. Check it out, here: https://lnkd.in/gDydCeiq. Raspberry Pi Hailo #EdgeAI #ComputerVision
Car Detection and Tracking System for Toll Plazas - Raspberry Pi AI Kit | Expert Projects
docs.edgeimpulse.com
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Very innovative #EdgeAI work done by Sara Olsson with GPT-4o to improve outcomes for conservation and wildlife identification in camera traps! 🌍 🐺 🌲
New blog post (https://lnkd.in/e_WDxgtB) for Edge Impulse on rapidly labeling camera trap data ⚡🐻 I'm using GPT-4o for species identification and a simple object detection model to get the bounding boxes. The project also includes synthetic generation of wildlife images. 🪄📸 Blog post: https://lnkd.in/e_WDxgtB and video: https://lnkd.in/ehRsmbXy With this setup, I could process a series of camera trap recordings and automatically obtain 520 labeled images with detected animals. This required only a few minutes of manual work to verify the output and standardize labels for the same species with different spellings, such as 'Alaska moose' and 'Alaskan moose'. #aiforconservation #conservationtechnology #edgeml
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Edge Impulse reposted this
It was a great second day of our Workshop on #TinyML for Sustainable Development. In the hands-on section, we successfully explored computer Vision model development, from data capture to deployment on microcontrollers. Thanks to Arduino Nicla Vison, Edge Impulse Studio, and OpenMV LLC (IDE) for all technical support and our sponsors, tinyML Foundation, Abdus Salam International Centre for Theoretical Physics (ICTP), Harvard University, Columbia University, Universidade Federal de Itajubá, and IBM.
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Training an effective edge AI model requires high quality data that is relevant to your use case. Using Edge Impulse's newest transformation block, you can now validate your data in minutes and create high quality datasets through the power of multi-modal LLMs. Read and watch as Edge Impulse's Jim Bruges walks through the process: https://lnkd.in/dSrzYetH #ai #edgeai #GPT4o
Easy Data Cleanup with Generative AI
edgeimpulse.com
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We're #hiring a new Senior Solutions Engineer (Pre-sales) in Raleigh-Durham-Chapel Hill Area. Apply today or share this post with your network.
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One engineer wanted to see how FOMO-AD, our new visual anomaly detection algorithm, stacks up against other leading anomaly detection models. We hate to spoil the article, but the answer is: pretty darn well. Read here: https://lnkd.in/gUfy8mPQ #ai #edgeAI #anomalydetection
Testing FOMO-AD Against Other Leading Anomaly Detection Models
edgeimpulse.com
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Edge Impulse reposted this
Our ecosystem work continues — today kicked off the #TinyML for Sustainable Development at the IBM Headquarters in Sao Paulo 🇧🇷 During the session, I took the audience through various tools and resources, including #demos — - #ArmDeveloperProgram: Introduced the Audience to Arm #KleidiAI for Edge Deployments - Ability to train Nvidia TAO and Zoo models natively with Edge Impulse on MCUs - Demonstrating capabilities that push Edge AI to its limits Abdus Salam International Centre for Theoretical Physics (ICTP), Arm, Arduino, Columbia University, Edge Impulse, Harvard University, IBM, NVIDIA, tinyML Foundation, The Embedded Learning Challenge, OpenMV LLC, Universidade Federal de Itajubá ... — #tinyML #edgeAI #Sustainability #Armdeveloper #onArm
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Take a look at Edge Impulse's groundbreaking platform for generating #AI and #edgeAI models. Build robust datasets with organic and synthetic data. Refine data with cutting-edge DSP tools. Use powerful algorithms for object detection, anomaly detection, time-series data, and more (including NVIDIA TAO). Deploy to any hardware. Edge Impulse is a comprehensive tool that will help your organization create AI solutions in weeks instead of months.