7 posts
ShelterSense is an edge AI system for predicting developing environmental and infrastructure failures in emergency shelters through a network of environmental, air-quality, and occupancy sensors.
Ultra-Early Off-Grid Wildfire & Ember Acoustic-Visual Detection Node
m_w
Resilience Deck is an open-source, offline-first field computer designed to help communities diagnose, understand, and restore critical systems when normal infrastructure is unavailable.
My journey to learn edge AI begins with the EDGE AI FOUNDATION Fundamentals Certification.
HeavyFalcon678![PlantVillage Disease Classification [AKIDA HARDWARE]](/api/image-proxy?url=https%3A%2F%2Fdeveco.nyc3.digitaloceanspaces.com%2Fcover%2F695f0755-bd94-4bb4-b364-9640e4a91653.png&w=600)
This project walks through evaluating a PlantVillage AkidaNet model on Akida and, if a hardware device is available, benchmarking its latency and power on a physical AKD1500. It's the hardware companion to the PlantVillage Disease Classification software project. If you haven't seen that yet, it walks through training, quantizing, and converting the model this project benchmarks.
martin-BrainChip
Discover a practical engineering methodology for building intelligent embedded systems by combining deterministic DSP, physics-based modelling and Edge AI. This article introduces the Real-Time Edge Intelligence framework and the handbook behind it.
Build a closed-loop motion classification system using Atym Ocre and Edge Impulse on WebAssembly. Three containers communicate over an internal messaging bus to publish sensor data, run inference, and validate predictions entirely on device. Works on both Linux (Raspberry Pi) and Zephyr (nRF52840) targets with no external tooling required.
moheeb_deveco