TreeHelper: A Wood Transport Authorization and Monitoring System
Alexandru-Mihai Zvîncă, Sebastian-Ioan Petruc, Razvan Bogdan, Marius Marcu, Mircea Popa

TL;DR
TreeHelper is an IoT system that uses a web platform and edge AI to monitor and authorize wood transport, helping authorities detect unauthorized logging more efficiently.
Contribution
TreeHelper introduces an edge AI device with a custom-trained YOLOv11n model and a web platform for real-time wood transport monitoring and authorization.
Findings
Edge TPU acceleration improves throughput and reduces inference latency for real-time monitoring.
The YOLOv11n model achieves high validation performance with precision and recall above 0.94.
Unauthorized trucks trigger alerts via SMS with license plate and GPS data for rapid authority response.
Abstract
This paper proposes TreeHelper, an IoT solution that aims to improve authorization and monitoring practices, in order to help authorities act faster and save essential elements of the environment. It is composed of two important parts: a web platform and an edge AI device placed on the routes of tree logging trucks. The web platform is built using Spring Boot for the backend, React for the frontend and PostgreSQL as the database. It allows transporters to request wood transport authorizations in a straight-forward manner, while giving authorities the chance to review and decide upon these requests. The smart monitoring device consists of a Raspberry Pi for processing, a camera for capturing live video, a Coral USB Accelerator in order to accelerate model inference and a SIM7600 4G HAT for communication and GPS data acquisition. The model used is YOLOv11n and it is trained on a custom…
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Taxonomy
TopicsFire Detection and Safety Systems · Remote Sensing and LiDAR Applications · Vehicle License Plate Recognition
