🚨 Milestone unlocked: 300K developers! 🚨
The Edge Impulse community continues to grow at an incredible pace—it feels like we were just celebrating 250,000.
From experimentation to deployment, you’re driving innovation across edge AI, and we’re honored to support what you’re creating next.
Huge thanks to everyone building, learning, and sharing along the way. More exciting things ahead. 🚀
And if you haven’t joined the movement yet, now’s the time!
Edge Impulse is at CES 2026 this week, where we’re showcasing many aspects of our powerful edge AI software tools at the @qualcomm booth.
Here’s our XR demo using @tclbrand #RayNeo glasses powered by Snapdragon AR1. An Edge Impulse–trained YOLO-Pro object detection model, combined with speech recognition and RAG-enabled LLMs, lets industrial frontline workers identify parts and get answers hands-free — without stopping work.
Want to meet up at CES? Swing by the Qualcomm booth! #5001, LVCC, West Hall.
#EdgeAI #ces2026 #ces
🚨 BIG NEWS! 🚨
We’ve officially surpassed 250,000 developers on Edge Impulse, and we’re absolutely blown away! This milestone is a testament to the amazing community shaping the future of edge AI. Every day, we’re seeing new ideas, new projects, and new ways of making an impact with machine learning at the edge.
A huge thank you to everyone who’s been part of this journey. This is just the beginning, and we can’t wait to see what we’ll achieve together next! 🚀
🚀 Ready to build the future at the edge?
Join the Edge AI Contest by Edge Impulse, a global virtual hackathon from Oct 30 to Nov 30, 2025!
💡Two Tracks, Endless Possibilities:
• Edge AI Application – Build real-world solutions on @arduino.cc , ESP32, @raspberrypi & more.
• Model Development – Design powerful ML models for audio, vision, or sensor data.
🏆 $30,000+ in prizes – plus awards for creativity, community impact & more!
🗓️ Submissions open Oct 30 | Deadline Nov 30 | Winners Dec 8
🌍 Learn, build & connect with a global community of innovators.
🔗 Register via the link in bio!
👀 A glimpse behind the curtain…
We’re getting everything ready for #Imagine2025 — the energy, the details, the vision. This is where it all starts.
Be sure to tune in tomorrow to see the action. Find more info in the bio!
If you’re using AI to build smart devices such as computer vision monitoring for predictive maintenance, you know that collecting, cleaning, and labeling data is time consuming, tedious, and expensive. But good news! Edge Impulse and pretrained models from @nvidiaembedded TAO can help get you on the fast track to enterprise-grade production with 100+ @nvidia -optimized model architectures, including Vision Transformers and fully attentional networks.
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🧠 Want to learn how? Join our upcoming webinar on November 9th with NVIDIA's Debraj Sinha (Product Marketing Manager) and Edge Impulse’s Jan Jongboom (CTO/Co-Founder) and Jenny Plunkett (Senior DevRel Engineer).
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🖥️ Register now! edgeimpulse.com/events
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#edgeimpulse #nvidia #nvidiatao #nvidiataotoolkit #nvidiaembedded #nvidiagpu #nvidiajetson #tinyml #machinelearning #ml #edgeml #edgemachinelearning #embeddedml #embeddedmachinelearning #edgeai #aitoolkit #pretrainedmodels #aimodels #mlmodels #edgedevices #edgecompuing #developers
By leveraging an Edge Impulse ML model with an Infineon PSoC 6 WiFi-BT Pioneer Kit and an @analogdevices CN0549 Condition-Based Monitoring Development Platform, Pratyush Mallick developed a predictive maintenance system that can distinguish between the normal vibrations of a healthy pump and the anomalous vibrations associated with issues like bubble cavitation. Through real-time detection of these issues, maintenance can be performed before failures occur.
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🫧 edgeimpulse.com/blog
⚙️ docs.edgeimpulse.com/experts
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#edgeimpulse #infineon #infeontechnlogies #psoc6 #analogdevices #cn0549 #conditionmonitoring #conditionbasedmonitoring #pumpmonitor #pumpmonitoring #predictivemaintenance #tinyml #machinelearning #ml #edgeml #embeddedmachinelearning #embeddedml #neuralnetworks #machinelearningmodels #trainingmachinelearningmodels #machinelearningalgorithms #artificialintelligence #ai #edgeai #deeplearning #industry40 #developers
SonicSight AR uses an Edge Impulse ML model to listen for sounds in a wearer's environment, then sends the results to a pair of glasses fitted with a @brilliantlabsar Monocle AR device for visual awareness.
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🕶️ edgeimpulse.com/blog
👉 docs.edgeimpulse.com/experts
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#edgeimpulse #particle #particleio #particlephoton2 #photon2 #tinyml #machinelearning #ml #edgeml #embeddedmachinelearning #embeddedml #neuralnetworks #machinelearningmodels #trainingmachinelearningmodels #machinelearningalgorithms #artificialintelligence #ai #edgeai #deeplearning #tensorflow #tensorflowlite #audioclassification #audiorecognition #soundrecognition #soundclassification #augmentedreality #ar #developers
When the Sony Spresense MCU board debuted in 2018, it quickly became a standout based on its high-performance processor, low power draw, and potential for AI projects. We were thrilled to add it as an official hardware target in 2021, furthering it as a solution for a multitude of AI endeavors using its cameras and microphone hookups.
Now, thanks to the new CommonSense expansion board and its official integration into our platform, Sony Spresense users can access a wide array of sensors in their Edge Impulse projects!
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⬛️ edgeimpulse.com/blog
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#edgeimpulse #sonyspresense #tinyml #machinelearning #ml #edgeml #embeddedmachinelearning #embeddedml #neuralnetworks #machinelearningmodels #trainingmachinelearningmodels #machinelearningalgorithms #artificialintelligence #ai #edgeai #deeplearning #sensors #sensorboard #accelerometer #gyroscope #imu #imusensor #ambientlightsensor #airqualitysensor #gassensor #magneticsensor #proximitysensor #pressuresensor #temperaturesensor #sensorfusion
HVAC systems often continue to operate at full capacity even when rooms are empty, resulting in unnecessary energy consumption. As a solution to this common problem, Jallson Suryo developed an inexpensive smart building controller using a Sony Spresense to accurately detect occupancy and then adjust fan output accordingly.
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🌡️ edgeimpulse.com/blog
🏢 docs.edgeimpulse.com/experts
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#edgeimpulse #sonyspresense #arduino #tinyml #machinelearning #ml #edgeml #embeddedmachinelearning #embeddedml #neuralnetworks #machinelearningmodels #trainingmachinelearningmodels #machinelearningalgorithms #artificialintelligence #ai #edgeai #deeplearning #tensorflow #tensorflowlite #computervision #machinevision #objectdetection #smarthvac #hvacsystem #developers
In a new blog post, Adam Taylor validates model performance on the BrainChip Akida platform with Edge Impulse — across different applications including visual wake word detection, keyword spotting, anomaly detection, and CIFAR classification.
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🧠 edgeimpulse.com/blog
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#edgeimpulse #brainchip #akida #neuromorphic #neuromorphiccomputing #neuromorphicprocessor #tinyml #machinelearning #ml #edgeml #embeddedmachinelearning #embeddedml #neuralnetworks #machinelearningmodels #trainingmachinelearningmodels #machinelearningalgorithms #artificialintelligence #ai #edgeai #deeplearning #wakeworddetection #keywordspotting #anomalydetection #imageclassification #developers
