PORT OF ALGECIRAS
Real-Time Vehicles and Goods
«This is undoubtedly a solution that will revolutionise the sector. This is what we have believed since we first heard about the proposal and we are even more convinced of it after each of the collaborations in which we have had the opportunity to test this technology».
Jesús Medina Blanco, Head of Technological Development Area
• Company: Algeciras Port.
• Place: Algeciras, Spain.
• Industry: Maritime, ports.
• Use case: Vehicles and goods traffic monitoring .
About the Port Authority of the Bay of Algeciras
The Port Authority of the Bay of Algeciras (APBA) manages the ports of Bahía de Algeciras and Tarifa. It is the main port in Spain in terms of traffic volume, according to data from 2021, and the fourth in Europe.
In 2021 alone, it received up to 251,646 containers per year, the equivalent of 404,226 TEUs.
It also has a high degree of adoption of cutting-edge technologies, being also a promoter of innovative solutions for the port sector through its “Algeciras BrainPort 2020” programme, created with the aim of generating
knowledge and new technologies to optimise and improve the competitiveness of the Port of Algeciras Bay.
The problem: limitations in the identification of vehicles and goods
The Port of Algeciras, due to its singularity and geographical position, receives a large influx of vehicles with multiple origins and destinations, constituting a complex scenario for the identification of vehicles and goods. For this reason, a flexible solution was required:
The challenge, proposed in the framework of its open innovation programme, consisted of identifying maritime cargo containers and the number plates of light vehicles, tractor units, trailers and platforms (UTIs) as they pass through the port facilities.
One of the challenges was to detect the identification codes of the containers and the number plates of trucks and trailers of Spanish and Moroccan origin, using the pre-installed camera system and adapting the software to the pre-existing network of infrared security cameras at the access, placed at various distances and with different viewing angles.
All this was necessary in real time and with maximum certainty and operational efficiency, without stopping or slowing down traffic in the port area or installing additional infrastructures.
The solution: automatic reading with artificial intelligence OCR from existing cameras
To this end, AllRead provided the Port with our intermodal smart reading software, based on Artificial Intelligence (Deep Learning and Computer Vision), capable of simultaneously detecting, reading and digitising several codes from any fixed or mobile camera.
This intelligent reading system is able to read in real time any text and alphanumeric label from any image captured by any device (mobile, security camera, etc.) even if it is damaged, dirty or even out of focus.
The result: real-time data capture with high accuracy in challenging contexts
During the course of the project and upon completion, we ensured a smooth implementation, without affecting the company’s operations, processing all information in real time.
The success of the results was due to a number of key factors of AllRead’s software:
At the end of the project, the solution proved to increase the accuracy of vehicle identification, reducing the number of false readings and without the need to deploy a new dedicated gate infrastructure. As a result, greater flexibility and coverage of the vehicle monitoring system within the port facility was achieved.