
Fully integrated architecture platform with a dashboard for Logistics Monitoring, Internet of Things.
The iot-dashboard is a fully integrated architecture platform with a dashboard for Logistics Monitoring and Internet of Things (IoT). It is written in Python and utilizes Flask as a back-end application. PostgreSQL is used as the SQL database, and database connection pooling is implemented. The dashboard is built using plain HTML and CSS. The platform also includes a communication protocol interface for IoT devices, specifically the Mictrack MT821/MT825 GPS tracker in UDP multithreaded mode. The platform offers geofences to save GPS tracker battery when it is not in a specified zone, and geofence alerts are supported. This product is designed to work on a Linux operating system and requires Python 3.8 or above, pip, and PostgreSQL server to be installed. Port forwarding for specific ports is also necessary. Optional components include pgAdmin 4 for database management.
The iot-dashboard is a comprehensive platform for Logistics Monitoring and IoT. It has a user-friendly dashboard, a flexible back-end using Flask and PostgreSQL, and supports communication with the Mictrack MT821/MT825 GPS tracker. The installation process is straightforward, requiring the setup of a virtual environment and the installation of necessary Python packages. The platform offers features such as geofences and geofence alerts to optimize battery usage. Overall, the iot-dashboard is a powerful tool for managing logistics and IoT devices.

Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
A dashboard style website template is a pre-designed layout that features a user interface resembling a control panel or dashboard. It typically includes charts, graphs, tables, and other data visualization tools that allow users to monitor and analyze data in real-time.