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iothings:laboratoare:2025:lab6 [2025/10/28 19:44] dan.tudose [Why we bother doing this] |
iothings:laboratoare:2025:lab6 [2025/10/28 19:55] (current) dan.tudose [3. Logging training data] |
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| ===== What AI/ML + IoT actually is ===== | ===== What AI/ML + IoT actually is ===== | ||
| - | The Internet of Things (IoT) is about connecting physical objects — sensors, machines, vehicles, appliances — so they can collect and share data. AI and Machine Learning (ML) are what make that data useful. Instead of just measuring temperature, vibration, heart rate, traffic, etc., AI/ML can learn patterns from that data and make decisions: predict a failure, detect something abnormal, optimize energy use, or trigger an action automatically. So in short: IoT gives you data from the real world, AI/ML gives that data “brains.” | + | The Internet of Things (IoT) is about connecting physical objects — sensors, machines, vehicles, appliances — so they can collect and share data. AI and Machine Learning (ML) are what make that data useful. |
| + | |||
| + | Instead of just measuring temperature, vibration, heart rate, traffic, etc., AI/ML can learn patterns from that data and make decisions: predict a failure, detect something abnormal, optimize energy use, or trigger an action automatically. | ||
| + | |||
| + | So in short: IoT gives you data from the real world, AI/ML gives that data “brains.” | ||
| ===== Why we bother doing this ===== | ===== Why we bother doing this ===== | ||
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| Run script that logs with label stationary: | Run script that logs with label stationary: | ||
| - | ''> python collect_data.py -stationary --port /dev/ttyUSB0 --baud 115200'' | + | <code> > python3 collect_data.py -stationary --port /dev/ttyUSB0 --baud 115200 </code> |
| - | Get ~10 seconds of data then hit Ctrl+C. The script will automatically save the collected data into ''raw_data_label_0.csv'' | + | Get ~10 seconds of data then hit Ctrl+C. The script will automatically save the collected data into ''raw_data_label0.csv'' |
| === Run B: "shake" capture (label = 1) === | === Run B: "shake" capture (label = 1) === | ||
| Line 94: | Line 98: | ||
| Run script #2 that logs with label shaking: | Run script #2 that logs with label shaking: | ||
| - | ''> python collect_data.py -shaking --port /dev/ttyUSB0 --baud 115200'' | + | <code> > python3 collect_data.py -shaking --port /dev/ttyUSB0 --baud 115200 </code> |
| - | Get ~10 seconds of data then hit Ctrl+C. The script will automatically save the collected data into ''raw_data_label_1.csv'' | + | Get ~10 seconds of data then hit Ctrl+C. The script will automatically save the collected data into ''raw_data_label1.csv'' |
| - | Then we’ll merge the two CSVs in the next step. | + | Then, we’ll merge the two CSVs in the next step. |
| ==== 4. Training the model ==== | ==== 4. Training the model ==== | ||
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| Download the main.cpp code from [[iothings:laboratoare:2025_code:lab6_4|here]]. | Download the main.cpp code from [[iothings:laboratoare:2025_code:lab6_4|here]]. | ||
| + | |||
| + | Your final project structure should look like this: | ||
| + | |||
| + | <code> | ||
| + | include/ | ||
| + | |-LSM6DSL.h | ||
| + | |-model.h | ||
| + | src/ | ||
| + | |-LSM6DSL.cpp | ||
| + | |-main.cpp | ||
| + | platformio.ini | ||
| + | </code> | ||
| When it’s running: | When it’s running: | ||
| * Keep the board still → LED should be off (prob_shake < 0.5). | * Keep the board still → LED should be off (prob_shake < 0.5). | ||
| * Shake the board → LED should go green (prob_shake > 0.5). | * Shake the board → LED should go green (prob_shake > 0.5). | ||
