  This paper describes DeepKey, an end-to-end deep neural architecture capable
of taking a digital RGB image of an 'everyday' scene containing a pin tumbler
key (e.g. lying on a table or carpet) and fully automatically inferring a
printable 3D key model. We report on the key detection performance and describe
how candidates can be transformed into physical prints. We show an example
opening a real-world lock. Our system is described in detail, providing a
breakdown of all components including key detection, pose normalisation,
bitting segmentation and 3D model inference. We provide an in-depth evaluation
and conclude by reflecting on limitations, applications, potential security
risks and societal impact. We contribute the DeepKey Datasets of 5, 300+ images
covering a few test keys with bounding boxes, pose and unaligned mask data.
