The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

This paper presents a review of deep learning on engineering drawings and diagrams.
These are typically complex diagrams, that contain a large number of different shapes, such …

There is an industrial trend of increasing technological effectiveness of production and
growing autonomy of factories, resulting in generation of huge amounts of raw data that can …

An important aspect of automatic floor plan analysis is the extraction of textual information,
as it is essential for a thorough understanding of the drawing. This paper presents a text …

Engineering drawings are commonly used in different industries such as Oil and Gas,
construction, and other types of engineering. Digitising these drawings is becoming …

Industrial process plants have a lifecycle of several decades, and only some of the most
modern plants have digital, machine-readable design information available. For all other …

Предложена новая методика создания двухуровневой нейросетевой структуры,
предназначенной для решения ряда задач путем обучения отдельных нейросетей для …

In the context of fire safety inspections, Building Information Modeling (BIM) models enriched
with Fire Safety Equipment (FSE) components can be used to complete compliance checks …

While millions of scanned engineering drawings are received every year, the online
quotation companies for custom mechanical parts have experienced a surging need to …

Advances in deep convolutional neural networks led to breakthroughs in many computer
vision applications. In chemical engineering, a number of tools have been developed for the …