SiliconBased, a pioneering company based in Tarragona, embarked on a Proof of Concept (POC) that promises to transform the way hydrocarbon transport handles loading and unloading processes. At its core, this innovative project leverages the power of deep learning and computer vision to enhance safety and efficiency. A customized dataset was meticulously crafted to accommodate the absence of existing images.
The primary objective of this project is to deploy a real-time surveillance system using strategically placed cameras. These cameras, equipped with deep learning algorithms and computer vision techniques, are capable of detecting any signs of leakage, dripping, or spills during the loading and unloading of hydrocarbon transport vehicles.
SiliconBased’s initiative showcases the remarkable potential of AI and computer vision in ensuring safety and environmental responsibility in the handling of hazardous materials. This project demonstrates how technology can be harnessed to mitigate risks and enhance operational excellence in the realm of hydrocarbon transport.
