NanoEdge AI Studio V3 - Anomaly Detection demo
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- Опубліковано 1 сер 2024
- Here is a full anomaly detection project walkthrough using NanoEdge AI Studio V3 for the creation of a smart vibration sensor using the STEVAL-STWINKT1B.
Learn more about NanoEdge AI from the ST Wiki: wiki.st.com/stm32mcu/wiki/Cat...
Try NanoEdge AI Studio today: bit.ly/YT-stm32nanoedgeai
Find out more information about AI solutions at STMicroelectronics: bit.ly/YT-stm32ai
NanoEdge AI Studio simplifies the creation of machine learning libraries (anomaly detection, classification, regression, and outlier detection) for direct implementation on any STM32 microcontroller.
NanoEdge AI Studio makes it easier for users to integrate cutting-edge machine learning capabilities quickly, easily, and cost-effectively into their equipment. No data-science expertise is needed.
Do you have questions on NanoEdge AI Studio and how you can implement edge AI machine learning capabilities on our STM32 microcontroller family? Feel free to ask in the comments section or via the ST Community.
#edgeai #tinyml
0:00 - Introduction
1:47 - Datalogger
2:48 - Setup description
4:23 - Project creation
5:42 - Regular signals import
8:26 - Abnormal signals import
9:56 - Benchmark
13:48 - NEAI Functions
14:17 - Library testing
15:42 - Library deployment
16:30 - Code overview
17:19 - Final demo
18:59 - Conclusion
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Wow this is very good, and good to see that the footprint of library is small.
Hello, i have generated a nanoedgeai.h header file but when I include it in cubeide by src-->new-->file-->from system and select NanoEdgeAI.h and libneai.a, it includes it but while building code it doesn't recognise saying no such file exists
How can i include that library?
I have bought the STEVAL-STWINKT1B kit
Could you please provide an FW project of 3:20 new_example_anomaly_detection.cpp
Enable the add signal to use the serial signal input
In order to facilitate the evaluation of the current ST implementation, it can be directly used in the production system
thanks
Thanks for your purchase and interest in STEVAL-STWINKT1B.
This file is not publicly available and was created by the presenter to support his demo.
For help creating your own code, we would advise having a look at the NanoEdge AI documentation. For example, you will find code examples for anomaly detection here:
bit.ly/STWiki-NanoEdgeAI-Anomaly-Detection
You'll also find useful help and code snippets for other scenarios under:
bit.ly/STWiki-NanoEdgeAI
And the NanoEdge AI MOOC which covers the topic exhaustively provides more code examples (datalogger and library implementation):
bit.ly/STCommunity-eLearning-NanoEdgeAI
Thanks for this demo. Where do I find new_example_anomaly_detection.cpp to on STEVAL-STWINKT1B development board?
Hi Dhamodharan.
Thanks for your positive feedback and for this question.
This file is not publicly available and was created by the presenter to support his demo.
For help creating your own code, we would advise having a look at the NanoEdge AI documentation. For example, you will find code examples for anomaly detection here:
bit.ly/STWiki-NanoEdgeAI-Anomaly-Detection
You'll find useful help and code snippets for other scenarios under:
bit.ly/STWiki-NanoEdgeAI
If you need more code examples for the STWINKT1B, you can also have a look at the NanoEdge AI MOOC which covers the topic exhaustively:
bit.ly/STCommunity-eLearning-NanoEdgeAI
We hope this helps.
@@stmicroelectronics Thanks for you reply and advise.
Ok how do you get people disliking this lol
With millions of iot device I need to instruct each one on the edge. This is unfeasible! Who say that the patterns are normal when I teach the model? This is not applicable in a real industrial case.