Objexa offers a GIS-based inventory management by detecting urban assets such as traffic signs, garbage containers, lighting poles in their geographical coordinates using deep learning algorithms from point cloud and image data.
- It provides an information system infrastructure that serves to detect city assets and locations with high precision and thus automatically create and update city-level inventory.
- Automatic inventory detection with object recognition provides an innovative approach to smart inventory and public space management.
- Automatic creation of the city inventory determined by machine learning reduces the need for labor and the resulting extra costs.
- With Objexa, innovative usage scenarios for tracking the geographical location of objects, smart inventory management and geographical analysis are realized.
Why Objexa?
We automatically detect your city inventory and save you from extra time and costs.
Automatic Inventory Management
Efficiency and Cost Savings
Frequently Asked Questions
Objexa can automatically detect various urban assets such as traffic signs, garbage containers, lighting poles, manholes.
It automatically creates and updates the city inventory with machine learning and object recognition technologies. These automated processes reduce the need for manual inventory management.
The geographical coordinates of the detected urban assets are integrated into the GIS system and visualized on maps.
It can be used in many different sectors such as municipal administration, infrastructure services, environmental management, wholesale and retail sales, automotive and urban planning applications.