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ST AEKD-AICAR1 Manuals
Manuals and User Guides for ST AEKD-AICAR1. We have
1
ST AEKD-AICAR1 manual available for free PDF download: User Manual
ST AEKD-AICAR1 User Manual (39 pages)
Evaluation kit for car state classification
Brand:
ST
| Category:
Motherboard
| Size: 2 MB
Table of Contents
Figure 1. AEKD-AICAR1 Evaluation Kit
1
Neural Network Basic Principles
2
Artificial Neural Network
2
Long Short-Term Memory Recurrent Neural Network (LSTM RNN)
2
Figure 2. Artificial Neural Network
2
Figure 3. Recurrent Neural Network
3
Designing an AI-Car Sensing Node
4
Tool-Set Introduction
4
Creating a Google Colab Notebook
4
Figure 4. AI-Car Sensing Node: Car State Classification
4
Colab Notebook Setup and Package Importing
5
Figure 5. Project File
5
AI-Car Sensing Node Life Cycle
6
Model Definition
6
Model Training
7
Figure 6. Acceleration Variations
8
Figure 7. Time-Based Dataset Example
9
Figure 8. Adding the Status Column
10
Figure 9. Creating CSV Files
10
Model Fitting and Compilation
11
Model Evaluation
12
Figure 10. Complete Model Generation
12
Figure 11. Confusion Matrix
13
Autodevkit Ecosystem
14
SPC5-STUDIO-AI Plugin
14
Figure 12. Installing the Plugin
14
Figure 13. Install New Software
15
How to Import SPC5-STUDIO-AI Using the Standard Importing Procedure
16
Figure 14. Creating a New SPC5-STUDIO Application
16
Figure 15. Selecting the Component
16
How to Import the Pretrained LSTM Neural Network
17
Figure 16. Adding a New Component
17
Figure 17. Selecting [SPC5 AI Component RLA]
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Figure 18. Network List Imported
18
Figure 19. Adding a New Network
18
Figure 20. Configuring the Parameters
18
How to Analyze the Pretrained LSTM Neural Network
19
Figure 21. Selecting [Analyze]
19
Figure 22. Clicking on [Analyze]
20
Spc5-Studio-Ai Api
21
AI-Car Sensing Node
23
Precautions for Use
23
Hardware Overview
23
Software Architecture Overview
23
Low-Level Software
24
Figure 23. AEKD-AICAR1 Software Architecture
24
High-Level Software
25
Main Application Software
26
Test and Results
27
Environment Setup
27
Test Performed
27
Results
27
Schematic Diagrams
28
Bill of Materials
29
Appendix A Regulatory Compliance
30
Appendix B Google Colab Code for the Neural Network Training
31
Appendix C Python Script Code for the Data Acquisition and Parsing
33
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