Intelligent monitoring of containers at the Port of Barcelona
The challenge was to increase the performance of the control monitoring system at the Port of Barcelona without changing the camera system and achieving greater accuracy and a reduction in errors.
The deep learning-based information detection technology developed by AllRead MLT can read the most relevant alphanumeric text appearing in an image automatically in a single shot. This enables streamlined logistics processes that require fast and accurate information to be plug-and-play anywhere in the port and terminal facilities.
With infrastructure as simple as a security camera and software, information from containers in a port can be read.
The AllRead MLT solution combines the security cameras already installed with a highly accurate tracking software to improve the performance of traditional Optical Character Recognition (OCR) systems.
One of the least automated control points at the Port of Barcelona is the train access to the port. The technology developed by AllRead identifies containers and wagons simultaneously, extracts the relevant information, digitises it, and sends it immediately to the control system.
Having more information on train entries and exits could reduce the presence of trucks, and the pollution they generate, in favour of rail transport, which is more sustainable and thus helps to reduce the environmental impact of the infrastructure.
AllRead MLT is a perfect example of a technology company born from the meeting of researchers and entrepreneurs. The project began to take shape in 2016 as part of the UAB Research Park’s Idea Generation Programme, where three researchers from the Computer Vision Center, doctors Dimosthenis Karatzas, Marçal Rossinyol, and Lluís Gómez, were working on a smart reading system. The project became a scalable business in the framework of The Collider programme of the Mobile World Capital Barcelona, thanks to the incorporation of executives Miguel Silva-Constenla and Adriaan Landman.
