For the first time in Latin America, a new technology that could replace traditional OCR systems and transform traceability and security processes in ports and terminals with minimal investment in infrastructure is presented at Trans-Port Chile. Carles Rúa, Head of Innovation of the Port of Barcelona, will also present at the TOC America, in Lima, the success story as a pioneer in using AllRead technology, and what have been the results thanks to its use. Barcelona, September 23, 2022 – AllRead, a Spanish technology company, specialized in artificial vision systems (Computer Vision), lands in Latin America to present for the first time the applications of this technology in two of the most important events of the maritime and port industry in Latin America, Trans-Port Chile and TOC America. It is a solution based on Artificial Intelligence (neural networks), capable of capturing any numerical or textual data from images and videos, from any camera, cell phone or drone, and extract the necessary information even in the most extreme conditions under which goods, containers and vehicles operate in ports and terminals. AllRead’s technology works at any point, from security cameras, cell phones or drones. First launch in Latin America: Trans-Port Chile 2022 Starting in Valparaiso, Chile, the technology will be presented on September 28 at the Trans-Port event, which brings together more than 2,000 visitors from 15 countries, including influential leaders, technical experts and professionals from the port industry, gathered in dozens of presentations on the problems and new solutions in the sector. It will start on September 27th until September 29th. During the course of the event there will be more than 40 exhibitors, including the Spanish company AllRead, which, with only 3 years of life, is already applying its solution to more than 25 ports and terminals around the world. Jenniffer Rincón, AllRead’s Business Development Manager, will be present at the event to show the evolution of Artificial Intelligence and the future option it provides to railway operators such as Renfe and to ports and terminals in countries such as France with Naviland Cargo, Spain with the Port of Barcelona and Algeciras, Italy with the Darsena Toscana Port Terminal, Portugal with the Port of Leixoes and Mexico, among others. Companies that are already applying this solution to improve their operations, traceability and security of goods and their facilities. The exhibition of its technology will take place on the second day of the event, September 28, in the thematic block: “From disruptive technologies to disruptive business. Meeting the needs of smart ports”, from 12:00 to 13:00 (Chilean time). The success case with the Port of Barcelona, presented in Lima Carles Rúa, Director of Innovation of the Port of Barcelona, will participate in this presentation through the success case made in the port, as a reference and pioneer in the use of this technology in Spain, in the second Latin American event in which AllRead will be present, the TOC America, in Lima, Peru. After the presentation of the technology at TOC Europe, in Holland, it will be shown how, thanks to Artificial Vision and Machine Learning, it is possible to detect from any camera and with the highest precision any type of code in the physical environment, without the need for anything more than a phone or mobile device with a camera or any pre-installed security camera, and even from a drone or a crane. While existing port OCR solutions require optimal conditions and significant hardware installation, AllRead technology is able to identify containers, rail cars, vehicle or trailer license plates, security seals from any source with minimal infrastructure. Accuracy levels above the usual standards are achieved even in challenging environments with motion (over 60 km/hour), blurring, stacking, darkness, low visibility, long distances or complicated perspectives. The technology reads and digitizes text and codes in all types of environments at high speed, or in low visibility, with minimal infrastructure.
