Samples for ADAS

QCI&AI-FML Learning Platform: https://kws.nutn.edu.tw/qciai/ 

Download Open FML File ( ADAS System )

Download Inference File ( ADAS System Inference Data )

Download Inference Model Rule File ( ADAS System Inference Model RuleData)

• QCI&AI-FML Learning Platform: https://kws.nutn.edu.tw/qciai/ 

• Download Expert File ( ADAS System Expert Data )

• Download Training File (  ADAS System Training Data )

Download Thonny 3.3.13: ( Windows ) ｜ ( Mac )

Download Open Learning Tool Python File ( Python File )

const.py  → Change Wifi and MQTT Server.

MQTT_ADAS(one-way).py → Make inference in ZAI-FML Platform and publish results on the learning tool.

const.py  → Set Wifiname and password, choose MQTT Server's username, password, and topicname.

MQTT_TravelRecommendation.py →  Wait to receive data from the learning platform and make a response to the received data.

MQTT_AIPinModuleTest.py  → Collect real-time data through Ultrasound Module, Light Module and DHT Module, then store data to SD Card(SD → output → data.csv).

MQTT_ADASAutomatic(two-way).py → Collect real-time data through learning tool's modules and publish data to CI Agent. CI Agent makes inference and publishes to the learning tool.

CameraModuleTest.py → Take a picture with Camera Module and store it to SD Card(SD → output → photo.jpg).