Križaj, Janez; Perš, Janez; Dobrišek, Simon; Štruc, Vitomir
In: Elektrotehniski Vestnik, vol. 86, no. 1/2, pp. 1–6, 2019.
The paper proposes an augmented reality system for visual object verification that helps warehouse workers perform their work. The system sequentially captures images of objects that the warehouse workers encounter during their work and verifies whether the objects are the ones that the workers are supposed to fetch from storage. The system uses Android-powered smart glasses to capture image data and display results to the user, whereas the computationally-intensive verification task is carried out in the cloud and is implemented using recent deep-learning techniques. By doing so, the system is able to process images in near real-time and achieves a high verification accuracy as shown by the experimental results
Rok, Novosel; Blaž, Meden; Žiga, Emeršič; Vitomir, Štruc; Peer, Peter
Face recognition with Raspberry Pi for IoT Environments. Inproceedings
In: Proceedings of the Twenty-sixth International Electrotechnical and Computer Science Conference ERK 2017, 2017.
IoT has seen steady growth over recent years – smart home appliances, smart personal gear, personal assistants and many more. The same is true for the field of bio-metrics where the need for automatic and secure recognition schemes have spurred the development of fingerprint-and face-recognition mechanisms found today in most smart phones and similar hand-held devices. Devices used in the Internet of Things (IoT) are often low-powered with limited computational resources. This means that biomet-ric recognition pipelines aimed at IoT need to be streamlined and as efficient as possible. Towards this end, we describe in this paper how image-based biometrics can be leveraged in an IoT environment using a Raspberry Pi. We present a proof-of-concept web-based information system, secured by a face-recognition procedure, that gives authorized users access to potentially sensitive information.