Computer Vision Analysis of Heritage Engineering Drawings¶

Heritage engineering drawings stored in museums and archives contain valuable technical knowledge but are difficult to analyse and search due to noise, ageing, and limited metadata. This project aims to develop computer vision methods to analyse and extract information from historical mechanical drawings. The work may include preprocessing scanned images, detecting components, extracting annotations, and building visual indexing or retrieval tools. The outcomes will support digital preservation, archival search, and engineering heritage research. Example heritage datasets and collections can be accessed via the Museum of English Rural Life (MERL): https://merl.reading.ac.uk/collections/