Classify traffic signs thanks to an image classification model from STM32 Model Zoo running on a STM32H7 microcontroller.

Classify coffee beans thanks to an image classification model from STM32 Model Zoo running on a STM32H7 microcontroller.

Predict the next day’s maximum temperature to better prepare for potential disasters.

Using AI to detect and diagnose faults in linear actuators

Detect and classify electrical anomalies in a power system.

Using a smartphone to recognize human activities.

Using AI to determine if an electrical grid is stable.

Using AI to extrapolate torque and rotor temperature values to improve motor performance.

Using AI to make your home appliances “smarter” and more energy efficient for a sustainable future.

Detection and classification of motor faults for predictive maintenance.

Create an AI model that predicts the quality of processed food instead of measuring it.

Handwriting recognition on ultra-low-power MCU.

Hand posture recognition running on STM32F401 based on ST multizone Time-of-Flight ranging sensor.

Image classification on high-performance MCU. MobileNet 0.25 model from STM32 model zoo.

Image classification on high-performance MCU. MobileNetV2 alpha 0.35 model from STM32 model zoo.

Smart sensor node over BLE connectivity to simplify the configuration and to be notified in case of detection via a mobile app.

Learn to detect abnormal behavior at the edge on a vibrating machine.

Advanced solution for material recognition of floor type (hard or soft) enabled by AI technology.

Equip meters with aftermarket wireless & low-power readers.

Learn to detect abnormal behavior at the edge on a vibrating machine.

Optimized computer vision using an MPU running at 8 FPS.

Predictive maintenance solution for industrial equipment.

Classification of the net vibrations with an accelerometer.

Neural Network classification based on a high-frequency analog microphone pipeline.

Predictive maintenance on motors for automatic door motors.

Current sensing to detect abnormal behaviors in motors.

An innovative approach to measure people flows using an in-house thermal sensor.

Trigger actions on a PC using a Time-of-Flight sensor to classify hand movements. Recognition of 3 different classes.

Identify different environments (indoor, outdoor, in-car) using a simple microphone.

Enabling optimized maintenance systems in ships.

Face identification on a high-performance MPU.

Predictive maintenance solution for industrial equipment.

Classify data based on different types of faults in an electric drive.

People detection and counting on high-performance MCU.

Count the number of people passing through a door using a Time-of-Flight sensor.

Predictive maintenance applied to industrial ovens.

Easily identify 5 different activities with a 3D accelerometer.

Vibration analysis to detect an abnormal behavior on a gearbox.

Human detection on high-performance MCU.

Image classification on high-perf MCU.