Curated Edge AI resources for computer vision & audio on embedded devices.
Hardware • Frameworks • Benchmarking • Literature • Communities
Mobile (smartphone) resources are excluded.
- ⚙️ Edge AI Hardware & Platforms
- 🧠 Frameworks & Libraries
- 📊 Benchmarking & Performance
- 📖 Papers, Books & Literature
- 🤝 Community & Discussion Hubs
- 📹 Tutorials & Walkthroughs
- 🛠️ Contributing
- 📝 License
Edge AI is an amazing field, with exponential potential — here are eight high‑impact application areas presented in the style you asked for:
- Computer Vision at the Edge – Real‑time object detection, pose‑estimation and defect‑inspection on cameras, drones and factory lines using TensorFlow Lite, OpenVINO™ and NVIDIA TensorRT, so raw video never leaves the device.
- Voice & Audio Processing – Always‑on wake‑word spotting, speech recognition and noise‑cancellation running locally on smart speakers, earbuds and intercoms with frameworks like Qualcomm® SAI, Amazon Alexa™ Voice Service (AVS) Edge and PyTorch Mobile.
- Predictive Maintenance – TinyML models on microcontrollers analyze vibration, acoustic and current‑draw signatures from pumps, motors and HVAC gear to flag anomalies seconds after they appear, slashing unplanned downtime.
- Healthcare & Wearables – On‑device ECG arrhythmia classification, SpO₂ trend analysis and fall detection in smartwatches, patches and hearing aids, preserving privacy and extending battery life by avoiding constant cloud uploads.
- Smart Retail & Checkout‑Free Stores – Shelf cameras and weight sensors use local CNNs to track what shoppers pick up and return, enabling “walk‑out” payment while keeping customer video on‑prem for GDPR compliance.
- Autonomous Mobile Robots & Drones – Sensor fusion, SLAM and path‑planning networks run on embedded GPUs / NPUs inside AMRs, warehouse bots and inspection UAVs, delivering sub‑50 ms reaction times even with spotty connectivity.
- Smart Energy & Micro‑Grids – Edge controllers forecast load, solar output and price signals in real time, dynamically balancing batteries, EV chargers and HVAC systems to cut peak demand and carbon footprint.
- Precision Agriculture & Environmental Monitoring – Field‑deployed sensors and ag‑drones execute plant‑disease and soil‑moisture classifiers on‑site, enabling targeted irrigation, fertilization and early pest intervention far from a data center.
Contributions are welcome from everyone. Check the contributions guidelines.
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