An autonomous robot concierge for human environments. With computer vision on a single Raspberry Pi! Built for a Hackathon 2025 in 24 Hours!
Hands-free access. Just say the code out loud and the lock opens. Without Internet.
Enabling Vitis AI 3.5 and DPU in Petalinux 2024.2 for AI/ML acceleration for Kria/MPSoC/Versal.
Supercharge your Crowbot with voice commands and tilt control for next-level robotic awesomeness šš¤āØ
A gesture-controlled model of UoMās Engineering Building using Pi 5 + ML ā wave your hand, and the architecture moves.
Translating Sign Language into English speech in real-time using an AI Model trained using a convoluted neural network.
InnoScribe is an innovative and inclusive educational solution designed for children with Specific Learning Disabilities (SLD).
Badge In, We Keep Watch š
Using Raspberry Pi 5 and Pi Pico for wildfire detection with AI and a camera, and transmitting data and images via nRF module.
A brief introduction to PEFT and how it helps us to fine-tune the Gr00t foundation on consumer GPUs.
Making AI agents reliable by moving control logic outside LLMs, creating predictable behavior despite their inherent randomness.
Here we show the end to end process to create a custom Object Detection System, all running on the Edge using a Google Coral Dev Board Micro
ChatGPT is great for generating text, but can we actually control something with an LLM? Yes! Let's build a chatbot to control Spotify.
Smart Recycle leverages ACT & Pi0 to automate the recycling process, identifies different waste, plastics and food, into appropriate bins.
Solution for deploying advanced AI models on embedded systems, Using our Synapedge ONNX-to-C compiler.
A DIY Google Home using your Raspberry Pi.
This guide provides detailed instructions for targeting the DNNDK samples from the Xilinx Vitis-AI 1.1 flow for Avnet Vitis 2019.2 platforms
How to make a connection between an internet service and Arduino boards.
This guide provides detailed instructions on implementing face detection and face tracking in Python on the Ultra96-V2 platform.
Faster than real-time! Based on Mozilla's DeepSpeech Engine 0.9.*
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.0 flow for Avnet Vitis 2019.2 platforms.
This guide provides detailed instructions for targeting the VART samples from the Xilinx Vitis-AI 1.1 flow for Avnet Vitis 2019.2 platforms
See how to get started with the QuickLogic QuickFeather Development Kit and use it with the SensiML Analytics Toolkit.
Run an Edge Impulse computer vision model on the Raspberry Pi Hailo-8 AI Kit to detect and count vehicles.
