The main goal of the implementation was to achieve full automation of the wood volume measurement process on trucks in remote collection warehouses in the wood wholesale sector. This simultaneously streamlines warehouse operations and increases the traceability of wood loads.
The project implementation involved several key steps:
- development of custom 3D cameras utilizing deep learning / AI and designed to operate reliably in harsh outdoor environments,
- calibration of cameras to ensure accurate and consistent measurements,
- tracking truck movements, reading license plates, and detecting wood loads using deep learning /AI,
- creation of video records and 3D images with load dimensions, including automated wood volume calculation,
- sending measurement results together with complete photos and videos of the load to cloud storage,
- triggering and monitoring measurements through a mobile application.
Benefits of Implementation
The implementation successfully achieves its goal. Thanks to the implementation of new technologies and deep learning, the customer has gained full automation of the wood volume measurement process, bringing significant advantages. Flexibility, traceability, and warehouse operation efficiency have significantly increased. An important aspect of the project is also the elimination of the need for paper records and manual work.
We designed the project to be easily transportable and usable in various collection warehouses.
