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The large circulation of vehicles with all types of goods in logistics areas, ports and customs implies that the monitoring of their entries and exits is a complicated task or, in some cases, practically impossible, if it is done without technological support.
For this reason, there has been designed solutions based on Artificial Intelligence that, from video captured by surveillance cameras, recognize both license plates of all types of vehicles and obtain other data of interest such as their color, make, classification (car, truck, van or van, etc.),country, direction, traffic lane or speed, for example.
Automatically detecting and storing this data is very useful for the management of customs, logistics and port areas and, in addition, it allows access and capacity control management of these vehicles. But the key information for these types of scenarios is for the system to recognize container codes.
If this data is available, it is possible to track the goods both entering and leaving the port or logistics area and in which vehicles they are being transported. This is done associating the containers with the license plate of the vehicle that transports them. This information is vital for the traceability of goods and to avoid all kinds of organizational issues.
Neural Labs, specialist in solutions for video analysis, has more than 20 years of experience in the sector and offers systems to facilitate the transport of people and goods such as the server solution Neural Server Ports and Logistics or Neural Edge, where the video analysis is processed inside the camera.
Neural Server, in addition to recognizing ISO 6336 international container codes, also detects dangerous goods identification plates, such as the IMO (International Maritime Organization) for maritime transport and ADR (European Agreement concerning the international Carriage of Dangerous Goods by Road) for ground transport, with a very high reliability rate. And, as if that wasn’t enough, it is integrated with a large number of scales and weighing systems.
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