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An IoT-powered, solar-driven hydroponic system that monitors water quality, automates nutrient and water control, and predicts crop yield for smarter, sustainable farming.
An AI-powered Raspberry Pi subway accessibility device that turns garbled announcements into clear, understandable text and translations for all riders, including non-English speakers, in real time.
Every parent has looked away for one second. Foresight watches for falls, burns and danger zones, and warns you seconds before an accident happens. Low-cost, and private by design.
An AI-powered neonatal monitoring system that continuously tracks vital signs, detects abnormalities early, and alerts healthcare staff to help provide faster and safer care for newborns.
DropVault: Transforming chaotic lobby drop tables into low-cost, zero-energy smart locker nodes for instant, secure last-meter deliveries
Two AI-powered apps: one enhances safety for the visually impaired using Raspberry Pi vision (defense for the defenseless) through object/threat detection, the other provides self-defense training.
Two AI-powered apps: one delivers free, personalized self-defense training from the USA Taekwondo National Team athlete, the other enhances safety for the visually impaired using Raspberry Pi vision.
Where Innovation Meets the Environmental Responsibility.
Privacy-first doorstep concierge that handles deliveries, guests and solicitors, available 24/7 without turning your front porch into a global surveillance system.
An AI agent that scores factory-floor ergonomic risk in real time (RULA, a real occupational health standard) and decides — log, notify, or escalate — autonomously.
BomaSafety uses Gemini Multimodal Live on $110 edge cameras to fingerprint vehicles, match crime hotlists in real time, and dispatch instant WhatsApp alerts for $49/mo.
Camera-free safety system for elderly people living alone
This project involved developing and benchmarking 3 improved ARM kernels for Gated Delta Net, a linear-complexity replacement for transformers used in the latest Qwen, Nemotron and Kimi models.
A 316 MiB speech model that transcribes, timestamps, and separates speakers entirely on-device, with hand-written Arm NEON kernels for every precision in the package.
A real grow-cabinet monitors soil moisture and narrates plant health using a local LLM on the Orange Pi 5's NPU — with a measured CPU vs. NPU benchmark showing exactly where NPU inference pays off.
Privacy-Preserving Activity Recognition with Real-Time Edge AI.
Running local LLMs and agentic AI on single board computers.
YOLOX detection and a control policy on a Raspberry Pi 5, measured with the clock pinned. The policy drops from a 3.5 MB Transformer to 75 KB of NEON: 4777 us to 3.67 us on one core.
A camera that watches your factory's gauges 24/7, so no one has to. It reads, diagnoses, and monitors any analog or digital dial in real time, with no hardware changes.
Using neural networks to recognize and classify garbage, then sorting them with a mechanical system.
llama.cpp defaults to every core on Android - the worst choice on big.LITTLE. LITTLETai reads your CPU layout and picks the right flags. 2.2-11x faster decode, up to 11x less energy. No patch.
Naive INT8 quantization is 100x SLOWER on Arm without the right kernel. We show the trap and the real fix, benchmarked live on a Raspberry Pi 5.