Train-Monitoring-App is a module in a larger system that is responsible for monitoring and visualization of the train's operation.
Train-Monitoring-App receives a CloudEvent from the Train-CEQ-App module via Kafka. This CloudEvent contains actionable insights derived from the raw predictions made by the Intelligent-Train module, along with the original images. The Train-Monitoring-App uses this information for monitoring and visualization purposes.
- Kafka: Train-Monitoring-App uses Kafka to receive data from the Train-CEQ-App module. You need to have a Kafka cluster running and accessible to Train-Monitoring-App. The Kafka cluster's URL should be specified in the
kafka.bootstrap.serversproperty in theapplication.propertiesfile.
Train-Monitoring-App has the following dependencies:
- Quarkus: A Kubernetes-native Java stack tailored for GraalVM and OpenJDK HotSpot.
- Apache Kafka Client: A client library for Apache Kafka.
- CloudEvents SDK: A Java SDK for CloudEvents.
These dependencies are managed by Maven and are specified in the pom.xml file.
Train-Monitoring-App is part of a larger system that includes the following modules:
- Capture-App: This module captures video and sends it to Intelligent-Train.
- Intelligent-Train: This module uses machine learning algorithms to make decisions based on the data received from the Capture-App.
- Train-CEQ-App: This module processes the raw predictions made by the Intelligent-Train module, transforming them into actionable insights.
- Train-Controller: This module receives decisions from Train-CEQ-App and controls the operation of the train accordingly.
- Clone the repository:
git clone https://github.com/Demo-AI-Edge-Crazy-Train/train-monitoring-app.git - Navigate to the project directory:
cd monitoring-app - Update the
application.propertiesfile with the appropriate values. - Run the application:
./mvnw clean quarkus:dev - Go to http://localhost:8086
This project is licensed under the MIT License - see the LICENSE file for details.