Maker Faire Yearbook 2024

Projects

Found 82 Results

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Armonia equestre – RACE

Faire: Rome

Maker: Università degli Studi di Roma Foro Italico

Home: Italy

The RACE system employs wearable devices like load cells and inertial sensors to monitor horse and rider motor and physiological parameters in real time, allowing performance characterization and remote monitoring. It integrates AI for data analysis, enabling personalized indications and early detection of horse health issues. RACE's user-friendly approach makes horse management more accessible and effective while optimizing performance and health monitoring.

Practical AI for Makers

Faire: Bay Area

Maker: Sridhar Rajagopal

Home: California, United States

AI is the current buzz word, with deep learning and other models now capable of being run on Edge Devices, aside from the Cloud. As Makers, how can we take advantage of this burgeoning field to incorporate cool new functionality into the things we make? For the beginner, this can be a very daunting field. In this presentation, we'll take a 30,000 foot view of Artificial Intelligence and Machine Learning, especially as it pertains to Edge AI (translation-we won't get bogged down by nitty-gritty now!). We will look at the various practical applications they can be used for, the various tools and frameworks that are available to utilize, and practical considerations of how to build and deploy a robust (not toy!) model that can run on your Arduino, Raspberry Pi or other suitable MCUs/SBCs.

How to Add AI to Almost Everything

Faire: Bay Area

Maker: Seeed Studio

Home: Texas, United States

Hosted by Seeed Studio, this hands-on workshop is specifically tailored for AI beginners and Arduino fans. Dive into the transformative world of AI using our XIAO ESP32S3 Sense, a thumb-sized yet powerful MCU. This workshop will provide you with a practical, easy-to-understand introduction to machine learning while demystifying the world of AI. Workshop Highlights: - The prospect of AI: Discuss the future of AI, including the role of Large Language Models in enhancing device intelligence and user interaction - Interactive Demonstrations: Experience real-time applications of Vision AI through engaging demonstrations. - Hands-On Training: Learn the basics of sound and vision model training. Participants will actively engage in collecting and training models using the XIAO ESP32S3 Sense.

La moda senza matita: formazione 4.0

Faire: Rome

Maker: Fondazione ITS ACADEMY SISTEMA MODA

Home: Italy

SafeTextAI

Faire: Rome

Maker: Micra Software & Services Srl

Home: Italy

The SafeText AI project uses an advanced combination of LLM models and transformers to deeply understand text and effectively anonymize sensitive data. The project's strength lies in the use of multiple AI engines in parallel, each specialized in different aspects of linguistic analysis and personal information detection. The results are mediated through a proprietary "voting" system that selects the most relevant outcomes, ensuring superior accuracy compared to any single model.

Handy Signs

Faire: Rome

Maker: Handy Signs S.r.l.

Home: Italy

Try AI with Raspberry Pi

Faire: Bay Area

Maker: Raspberry Pi

Home: Cambridgeshire, United Kingdom

Come meet the Raspberry Pi team and experiment with the new Raspberry Pi AI kit. Installed on a Raspberry Pi 5, the AI Kit allows you to rapidly build complex AI vision applications, running in real time, with low latency and low power requirements. State-of-the-art neural networks for object detection, semantic and instance segmentation, pose estimation, and facial landmarking (to name just a few) run entirely on the Hailo-8L co-processor, leaving the Raspberry Pi 5 CPU free to perform other tasks.

NYXA

Faire: Bay Area

Maker: Meaghan Zore

Home: California, United States

NYXA crafts genderless and size-inclusive sterling silver jewelry that stands as modern artifacts, embodying innovation and sophistication for art and design enthusiasts who seek attainable luxury with an edge.

Artemis Waste Solutions

Faire: City of STEM + Los Angeles

Maker: Cindy Valdez

Home: California, United States

We are a team of students from CSULB.

RoboButts

Faire: Rome

Maker: Denis Oliviero

Home: Italy

Robotics in Agriculture I-RIM Challenge

Faire: Rome

Maker: Università Campus Bio-Medico di Roma

Home: Italy

The Tomato Harvesting Challenge (THC) is a competition supported by Pal Robotics SL, which will provide the Tiago robot equipped with a 7-DoF robotic arm and parallel gripper. The competition has the ambition to advance the field of agricultural robotics by encouraging the development of innovative solutions for fruit harvesting. Achieving accurate selective harvesting requires overcoming many challenges including the ability to i) detect fruits to be harvested ii) assess their ripeness stage, and iii) plan the robot motion while managing the variability of the agricultural environment.

LemurBox 2.0

Faire: Bay Area

Maker: HAL51 AI

Home: California, United States

LemurBox is a customizable diorama device framework that converts your smartphone or tablet into an interactive AI powered 3D XR device. The device supports talking to an AI powered pseudo-hologram, enables 2 way holographic chats, empowers visualizing and generating 3D models and can also be used as a teleprompter device or as a secondary passive monitor as well. The hardware ships with a suite of smartphone apps that include an AI-powered holographic avatar, a 3D model viewer and much more! Using this framework, we are inventing a radically novel way for humans to interact with Al and has broad implications across EdTech , AdTech, CommTech, ToyTech & of course, the general Consumer Tech markets.

Linea Pastelmatte

Faire: Rome

Maker: Federico Carloni

Home: Italy

Advanced Robotic for co-working and monitoring

Faire: Rome

Maker: Centro di Ricerca "E. Piaggio" -- Università di Pisa

Home: Italy

Physical AI Avatars

Faire: Bay Area

Maker: Aditu Technologies

Home: Lagos, Nigeria

Aditu is exploring physical installations of AI-powered conversational avatars. Given the recent explosion in popularity of Large Language Models (LLMs) such as ChatGPT, it is known for a fact that AI is poised to transform our day-to-day lives in a myriad of ways. Aditu is exploring how LLMs embodied in physical installations and represented by animated 3D characters responding in real-time, could infuse the wonder of AI and LLMs into physical interactions. A software demo of this technology is accessible online. It is an AI Curator which guides website visitors through Open Access artworks at the Metropolitan Museum in New York. It leverages AI and LLMs as a medium for fostering public engagement with art. Visit it here: https://aditu.tech/digitalculturepromotion/met-avatar

R.O.B.

Faire: Bay Area

Maker: OrbitusRobotics

Home: California, United States

ROB is the first droid with all Mac hardware. Using only Apple sdk's and api's I am able to create magic between components. Thanks to the new networking.framework, I am able to auto connect with bonjour services between my droid, the controllers, and even other bots. I wanted to make the simplest and most affordable Droid, I wanted to bring all of our imaginations to life and I wanted to push the boundaries of technology just a bit further and beyond reach. ROB is a Droid with toddler level neural network intelligence. His chat server was built with a python CakeChat neural emotion engine which gives him lots of interesting things to say! R.O.B. runs on OSX and has LiFePO4 80 Ah batteries for hours mobility with the finest BLDC motors that Shenzhen, China has to offer.

Machine-Learning (ML) Detection of Cancerous Cells

Faire: Rome

Maker: Sapienza Università di Roma

Home: Italy

HoloProject

Faire: Rome

Maker: Pasquale Pepe

Home: Italy

SASA: Sapienza Flight Team

Faire: Rome

Maker: Sapienza Aerospace Student Association

Home: Italy

The team aims to participate in the SUAS competition. Among the competitors there are many of the best scientific and technical universities in the world. The competition requires students to design, integrate, present and test a UAV capable of autonomous flight and navigation, object detection and classification and execution of a series of missions to simulate an air drop or search and rescue tasks.

Slammer, an autonomous rover project

Faire: Rome

Maker: Pizza Robotics

Home: Italy

2024: Odissea nell’Olfatto, by Neuroscent

Faire: Rome

Maker: Giulio Cesare Passali

Home: Italy

NEUROSCENT is a project for the study of objective olfactory capacity and gustatory evaluation using Machine Learning classification of EEG measurements. In practice, EEG signals acquired through a wearable electroencephalographic device are wirelessly transmitted for real-time analysis during sensory stimulation. NEUROSCENT provides real-time quantifiable assessments of olfactory-gustatory capabilities and brain waves evoked during such stimulation, representing valuable support in healthcare, the food industry, and environmental monitoring.

Poopbot

Faire: Rome

Maker: Pizza Robotics

Home: Italy

Co-create Solution for Hazard Response

Faire: Bay Area

Maker: Seeed Studio

Home: Texas, United States

The Hazard Response Mission Pack is an on-going open-source AIoT solution designed to efficiently manage and mitigate different hazard scenarios. This compact system combines a range of technologies, including sensor networks and edge computing, to enable effective remote sensing, data transmission, processing, inference, and analysis. In this workshop, participants are invited to collaboratively create innovative, sustainable solutions for hazard response. They will explored various hazard scenarios and identified gaps in current security systems, learn to used AIoT hardware and Node-RED to develop and implement reproducible hazard response solutions. They will also engage in hands-on projects, such as building resilient local warning systems and deploying advanced hazard sensors.

SilentSpeech

Faire: Rome

Maker: ITS ACADEMY APULIA DIGITAL

Home: Italy

SilentSpeech is an innovative app, winner of the "Immersive Technologies" category at ITS 4.0 2024, which aims to make learning Italian Sign Language more accessible and engaging. It combines cutting-edge technologies such as Google MediaPipe for sign detection, LSTM (Long Short-Term Memory) neural networks for interpretation, and Unreal Engine to model and animate a virtual avatar that guides users through interactive exercises. Main features: * Real-time sign detection * Immediate performance feedback * Progressive learning path * Gamification elements to motivate practice

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