STM32 Edge AI Contest

Organizer

STMicroelectronics

STMicroelectronics

STM32 Edge AI Contest

Get Ready for the STM32N6 Challenge!

Timeline:

Challenge Launch: 10 January 2025
Exclusive STM32N6 Webinar: 20 February 2025
Board Shipment Begins: 28 February 2025
Deadline for Project Ideas: 30 April 2025
Deadline for Final Project Submissions: 1 October 2025
Nominees Revealed: 30 October 2025
Grand Winner Announcement: November 2025 - Stay Tuned!

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Arctic Wildlife Monitoring Using Edge AI

Arctic Wildlife Monitoring Using Edge AI

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The main goal is to solve a computer vision task, which is to be able to identify native animals of Greenland on a camera image and create log entries in case of detection. The application shall be based on a YOLO real-time machine learning model or similar. The AI model shall be deployed directly on a local edge device (STM32N6570-DK Discovery kit ). The device should be able to send the log messages via LoRa communication or similar.

2325 Views | 2 Comments

EasyGimbal - STM32N6 Smart Camera Gimbal

EasyGimbal - STM32N6 Smart Camera Gimbal

by Stefan Nikolaj

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A camera gimbal that uses the STM32N6570-DK with a pose estimation model to track you and be your cameraman.

3373 Views | 0 Comments

Contactless Smart Meter Reading with STM32N6 and Embedded AI

Contactless Smart Meter Reading with STM32N6 and Embedded AI

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A universal, contactless smart metering solution powered by the STM32N6 with integrated NPU and camera. Using computer vision, our system can read water, gas, and energy meters without physical interfaces, offering flexibility, compliance, and rapid adaptability across different meter types.

1728 Views | 0 Comments

NeuroSense – Real-Time Mental Health Monitoring System on STM32N6

NeuroSense – Real-Time Mental Health Monitoring System on STM32N6

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NeuroSense is a real-time, embedded mental health monitoring device powered by STM32N6. It uses speech analysis, EEG signals, and facial emotion recognition to detect stress, anxiety, depression, and other emotional states. With the use of interactive TouchGFX-based touchscreen UI, users can receive instant feedback, mood tracking, and alerts, enabling applications in personal health, workplaces, therapy, and clinical environments. Our proposed system aims to be an optimized, lightweight and efficient.

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Edge AI meets watchmaking

Edge AI meets watchmaking

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An Edge AI device that can be used to detect anomalies on watch wheels

876 Views | 0 Comments

LifeX – The All-in-One Smart Companion on STM32N6570-DK

LifeX – The All-in-One Smart Companion on STM32N6570-DK

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LifeX is an all-in-one smart companion built on the STM32N6570-DK, combining security, monitoring, fun, and music into a single system. From detecting wildlife at night, tracking personnel during the day, snapping creative photobooth pictures, to sensing your dance moves and playing matching music — LifeX transforms a development board into a versatile, interactive, and intelligent daily companion.

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Ninja fruit with STM32N6!

Ninja fruit with STM32N6!

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This project demonstrates the power of STM32N6 with a ninja fruit or pop the bubbles! Game. It uses a pose estimation model to detect certain gestures and their positions to interact with the game.

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AI-activated Visual Radio using STM32 Edge AI

AI-activated Visual Radio using STM32 Edge AI

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The application is intended for a Public Broadcast Organisation, delivering regional Radio programs 24/7. Some hours of the day, non-stop music is broadcasted, other hours, a live program is presented by a DJ in the Radio Studio. For the live hours we want to add a 'Visual Radio' option, e.g. a video stream is shown on the channels website so that the listeners can have a look in the studio and watch the DJ presenting his/her program.

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Autonomous Drone Navigation and Target Detection with Yolo on STM32N6

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"We choose to go to the Moon in this decade and do the other things, not because they are easy, but because they are hard." John F. Kennedy

2017 Views | 0 Comments

Smart Cat Litter Scale + Home Assistant for ElektorMag & STM32 AI Contest

Smart Cat Litter Scale + Home Assistant for ElektorMag & STM32 AI Contest

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This smart tracker focuses on feline health. I continuously measure the weight of the cat litter in the litter box. My premise is that every change in weight provides insight into hygiene status. By monitoring in real time, I can detect health anomalies at an early stage. Using Edge AI, the system will soon be able to recognize individual cats based on their weight and behavior. If time allows, I will also explore whether integrating the smart camera from the STM32N6 development board enables visual identif

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Component identification on PCB using STM32N6

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Leveraging AI to speed up PCB Hardware/component identication

539 Views | 0 Comments

FallGuard: Using Edge AI to Monitor Safety with Full Privacy

FallGuard: Using Edge AI to Monitor Safety with Full Privacy

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FallGuard is an innovative project designed to detect falls in a privacy-respecting and efficient way using Edge AI technology. The system is built on the STM32N6570-DK development board paired with the MB1854B camera, enabling intelligent local processing without relying private images to the cloud—ensuring maximum privacy for the user.

4690 Views | 0 Comments

SignesTrad: Real-Time French Sign Language to Text Interpreter

SignesTrad: Real-Time French Sign Language to Text Interpreter

by Camille Simon

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SignesTrad is an edge AI solution that translates French Sign Language (LSF) to text in real-time. Using the STM32N6 board's camera and Neural-ART NPU, our device captures hand gestures, processes them with optimized neural networks, and displays translated French text instantly. This portable solution works offline, making LSF communication accessible anywhere without internet dependency.

4393 Views | 2 Comments

AI-Powered Elder Care on the Edge with STM32N6

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Problem The project idea comes from an accident in which my mother fell off from a ladder and was unable to move or ask for help. This hit me hard and motivated me to create a device to monitor my parents and assist when needed. This is a huge need in the market as it happens often with elder people living on their own. As the aging population grows, so do the risks associated with falls, isolation, and missed health cues, especially for seniors living alone. Existing smart devices are often intrusive, cl

529 Views | 0 Comments

Diagnóstico Não Invasivo de Transformadores por Magnetostricção

by CarlosDelfino

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Tecnologia de Ponta para a Saúde da Rede Elétrica Imagine detectar falhas iminentes em transformadores sem abrir uma única tampa ou desligar o sistema. Com base na análise de ruídos gerados por magnetostricção — um fenômeno físico sensível às variações internas do transformador — nosso projeto apresenta uma solução inovadora, preditiva e totalmente não invasiva. Utilizando microcontroladores avançados, sensores acústicos direcionais e drones terrestres inteligentes, criamos uma nova abordagem para o diag

521 Views | 0 Comments