Implemented an AI-driven computer vision platform leveraging Dell infrastructure and NVIDIA AI to automate container inspection, improving security, operational efficiency, and decision-making in maritime logistics.
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The challenge
The organisation needed to automate the detection of illicit objects and anomalies within maritime containers using high-resolution X-ray imagery. Manual inspection processes were time-consuming, error-prone, and difficult to scale. Identifying empty, full, or suspicious containers required analysing complex image data under operational pressure, with the added need to detect patterns that could indicate the presence of prohibited items such as drugs or weapons.
The approach
Designed and implemented a specialised AI model built on Dell AI Factory infrastructure with NVIDIA AI Enterprise, enabling high-performance processing of large-scale X-ray image datasets. The solution applied advanced computer vision techniques to analyse high-resolution images and classify containers using a multi-state logic model (e.g., empty, full, requires inspection). Training leveraged labelled datasets to improve accuracy across container types, while batch processing pipelines generated detailed inspection insights to support operational teams.
The outcome
Delivered an intelligent inspection platform that significantly enhanced security by automatically identifying anomalies and irregularities in container scans. The solution improved operational agility through automated reporting and streamlined workflows, enabling faster and more informed decision-making. Full knowledge transfer and delivery of source code ensured long-term autonomy, giving the organisation complete control over the solution and its future evolution.
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