"Displays a showcase of NanoEdge AI Studio" in the AI Realm
In the realm of IoT (Internet of Things) projects, efficiency and ease of use are paramount. One such platform that promises both is NanoEdge AI Studio, a software solution designed for quick AI model development and sensor project creation. Here's a step-by-step guide on how to build a vibration monitoring sensor project using this powerful tool.
## Step-by-Step Guide to Building a Vibration Monitoring Sensor Project
1. **Prepare the Hardware:** - Select a suitable microcontroller board like the NUCLEO-L432KC or similar. - Attach an accelerometer sensor like the LSM6DSL to capture vibrations.
2. **Set Up NanoEdge AI Studio:** - Download and install NanoEdge AI Studio. - Create a new project and select the appropriate board and sensor.
3. **Collect and Prepare Data:** - Collect vibration data by running the sensor for a few cycles (e.g., when the machine is operating and not operating). - Export this data into a format compatible with NanoEdge AI Studio.
4. **Create an AI Model:** - Utilize NanoEdge AI Studio's AutoML features to create a classification model (e.g., n-Class Classification if you're monitoring different states of operation). - Train the model using the collected data.
5. **Deploy the Model:** - Once trained, deploy the model onto your microcontroller board (e.g., NUCLEO-L432KC). - Configure the system to capture real-time data and make predictions based on the trained model.
6. **Implement Alert System:** - Set up a condition to trigger an alert when specific vibration patterns are detected (e.g., when the machine stops operating). In this case, the device sends a text message when the monitored vibration stops for a certain amount of time.
### Real-world Example
A similar project was demonstrated by François de Rochebouët, Head of Marketing for MDRF/Central R&D/Artificial Intelligence Solutions at STMicroelectronics, who recreated the project in less than 45 minutes using NanoEdge AI Studio. This involved monitoring vibrations from an older washer or dryer and sending a text message when the operation stopped[1].
### Tips for Efficiency
- **Leverage NanoEdge AI Studio's AutoML:** It simplifies the process of model selection and training. - **Optimize Sensor Settings:** Ensure the accelerometer is set to an appropriate frequency to capture meaningful data (e.g., like the 3300 Hz in the ukulele chord classification example)[2]. - **Test the Model:** Perform a quick test to ensure the model is working correctly and adjust as needed.
By following these steps and leveraging NanoEdge AI Studio's user-friendly interface, you can rapidly develop and deploy a vibration monitoring sensor project. The tutorial demo serves as a suitable "hello world" for using NanoEdge AI Studio, and the project can be built multiple times with ease.
[1] Electronic Design, 2021. [Online]. Available:
[2] NXP, 2021. [Online]. Available:
In the context of IoT projects, data-and-cloud computing technology plays a significant role in the development and deployment of AI models, such as the vibration monitoring sensor project built using NanoEdge AI Studio. Efficiency and ease of use are crucial for IoT projects, and NanoEdge AI Studio leverages technology to deliver both, enabling users to create AI models and develop sensor projects quickly.
