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Registration of Trucks at Gates through technology

Registration of Trucks at Gates through technology

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AI Surveillance: improve safety in industrial environments with Safety.

AI Surveillance: improve safety in industrial environments with Safety.

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The procedure for loading and unloading trucks at various gates is an important part of logistical movement and cargo transportation throughout the country. It is necessary to have strict control over this verification stage to avoid vehicle retention and problems with cargo inventory, company stock control, losses, irregular distributions, and various other situations. ALSO READ: • Learn everything about Computer Vision

• What is machine learning?

Among the stages of this cargo vehicle reception process are the following procedures: • Driver registration with personal data collection and vehicle arrival registration, with entry date and origin;

• Checking of cargo and invoices;

• Cargo distribution across axles, in case of loading;

• Cargo inventory, in case of unloading;

• Recording information in a database for control purposes.

When these steps are done manually, especially in companies with a high volume of incoming and outgoing vehicles, it is likely to generate queues and errors in registration. To facilitate the process, automation is one of the best solutions available on the market, as it speeds up and eliminates errors and queues. In addition, with automation, reports and data can be standardized and analyzed in real time.

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Practical application of automated registration

Through fixed cameras in different positions, it is possible to obtain images from various angles. In this way, our algorithms are capable of automatically counting the vehicle's axles, reading the license plates of the truck and the trailer, and verifying the driver's identity, comparing it with the registered document. Additionally, it is possible to read the operational data of the shipment and insert all the information collected in the analyses into the clients' own management systems. Finally, after all the analyses, the system identifies the volume, quantity, estimated weight, load distribution across the axles, and load height. Thus, fines for irregularities in weight distribution are completely avoided.

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Fabio Caraça

Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.

Safety: industrial safety with AI

Safety: industrial safety with AI

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Ensure the correct use of PPE

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The Pix Force brand and all its products are the property of Pix Force SA - CNPJ 25.161.678/0001-87

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Brazil

Caldeira Institute: Tv. São José, 455, Navegantes, Porto Alegre

USA

Greentown Labs: 4200 San Jacinto St, Houston, Texas

Finland

Hiiralankaari 20 Espoo, 02160

The Pix Force brand and all its products are the property of Pix Force SA - CNPJ 25.161.678/0001-87

Copyright © 2026 Pix Force.

Newsletter

Social media

Brazil

Caldeira Institute: Tv. São José, 455, Navegantes, Porto Alegre

USA

Greentown Labs: 4200 San Jacinto St, Houston, Texas

Finland

Hiiralankaari 20 Espoo, 02160

The Pix Force brand and all its products are the property of Pix Force SA - CNPJ 25.161.678/0001-87

Copyright © 2026 Pix Force.