PASSAnT

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Safety in the port is a basic condition to guarantee its complete functioning. However, Dutch and Flemish ports are faced with cargo thefts and the transmigration in, on and around Calais creates new challenges in the ports of Ostend and Zeebrugge. The need to look for innovative security solutions is great. 'PASSAnt' focuses on the experimental development of anomaly detection around trucks, trains and ships. Camera sensors will be installed at relevant locations in the ports of Ostend and Moerdijk. This data is used to teach the 'machine learning' system what are normal and strange patterns. Algorithms are developed for complex image analyses such as recognizing and classifying people and vehicles, measuring speed, recognition of license plates, etc. The system will learn to distinguish between people, cyclists, cars and trucks at a very detailed level and, for example, will be able to distinguish the type and model of a vehicle, as well as the color, the speed of movement and the registration number. Deviating patterns such as unauthorized persons, attempts at cargo theft, climbing and smuggling can thus be detected early and automatically. In order to protect loads, the project is also working on the development of advanced 'smart' tarpaulins that generate an alarm as soon as an attempt to burglary is made. In addition, advanced fence and locks from Betafence will be placed on various sites in port areas. These different systems will be connected by Securitas so that permanent signals can be monitored in a test control room. All these solutions that are generated by 'PASSAnt' can be tailor-made at a later stage for other ports, terminals or by extension of business parks.

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