Digital Innovation

This project is a solution of the start-up goClever (initially Geomodel-3D Modeling Studio) that allows to automatically measure the volume of solid waste that ships deliver to the port. 

This pilot project, winner of the Smart Catalonia Challenge 2019, calculates the volume of waste with high precision remotely and in real time using a system of sensors, without the need for supervision. According to estimates of those responsible for the project, this technology will allow a reduction in the economic costs derived from this management of more than 130,000 euros per year. Furthermore, advances in remote processing include the ability to infer waste classifications based on both object types (geometry) and texture, which is a further step towards efficient waste management and the circular economy.

The Port of Barcelona, together with the 5G Barcelona alliance, Vodafone, Huawei, IBM and i2cat, have carried out this experimental pilot to geoposition ships using visual recognition and 5G technologies. 

The objective is to improve the current vessel geolocation systems available to the Port (AIS and radar), using new technologies and artificial intelligence. The new system allows a greater degree of precision both day and night and obtains additional data that facilitates identification. The potential of this complementary system is multiple; it is an independent source of the signal from the vessels, an option to complement the radar system in locations where its installation is not feasible, it improves the optimisation of the berthing line and it is the first link in a future digital twin of sea traffic management and remote assistance to vessels.

The start-up specialised in computer vision systems AllRead Machine Learning Technologies and the Port of Barcelona have carried out a pilot test to identify containers and wagons with AI technology. 

The objective is to be able to identify the container number and its position on the train in real time to optimise operations and automate the collection of goods data, facilitating the processes of loading and unloading trains in the port area. For the pilot, 950 trains and 13,500 containers have been analysed and a very high level of precision has been obtained without the need for large facilities, since only two cameras that work day and night have been used. This technological solution enables end-to-end traceability and is the first step in the digital control of the railway chain.