Automated vehicle detection using machine learning is a powerful and effective tool for traffic management and public safety.
QGIS (short for Quantum Geographic Information System) is an open-source, cross-platform desktop geographic information system (GIS) that provides data visualization, analysis, and management capabilities. It is designed to be user-friendly and easy to use, and it can be used to view, edit, and analyze geospatial data in a variety of formats, including raster, vector, and database formats.
Some of the features of QGIS include:
QGIS is popular among GIS professionals, researchers, and students, and it is used in a variety of fields, including environmental science, geography, urban planning, and more.
Automated vehicle detection can be helpful in a number of ways, including:
QGIS is designed to be able to integrate with a variety of other software and systems, including databases, GIS servers, and other GIS software. There are a few different ways that QGIS can be integrated with other systems:
Plugins: QGIS includes a plugin manager that allows users to install and manage a variety of plugins that add new features and functionality to the software. Many of these plugins are designed to integrate QGIS with other systems, such as databases or GIS servers.
API: QGIS includes a Python API (Application Programming Interface) that allows developers to write custom scripts and programs that can interact with QGIS and other systems. This can be used to create custom tools and workflows that integrate QGIS with other systems.
Import and export: QGIS can import and export a variety of data formats, including Shapefiles, GeoTIFF, and KML, which allows users to exchange data with other GIS systems and software.
Direct connections: QGIS can connect directly to a variety of other systems, such as databases, GIS servers, and web services, using supported protocols and connection methods. This allows users to access and manipulate data from these systems directly within QGIS.
Watch this video to see a Modzy vehicle detection model integrated into QGIS to automate the vehicle detection process using computer vision.