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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of an application for the recognition of conveying aids by means of smart glasses
Creators: name: Ð¢Ð°ÑÐ°Ð½Ð¾Ð²ÑÐºÐ¸Ð¹, ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²

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description: This thesis is a part of a âMobile Human-Computer Interaction For Commissioning And Controlling Of Automated Guided Vehiclesâ project at the Institut fÃ¼r Integrierte Produktion Hannover. State of the art methods of object recognition are considered and the most suitable ones are chosen to train: Faster R- CNN, SSD and YOLOv3. A dataset of conveying aids was created and object detected models were trained. According to training results YOLOv3 Tiny model was chosen due to its characteristics as a baseline of the application for recognition of conveying aids by the means of smart glasses. The process of development of the program was considered and its algorithm was developed. Evaluation of the program was done by performing a number of various experiments including distance, incline, rotation and overlapping ratio variation as well as multiple pallets detections. As a result of the thesis the program was developed that performs a palletsâ detection using input video-stream from Microsoft HoloLens in real-time, and outputs these detections for human operator and further modules in the project.