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Identifier 000446243
Title Semantically annotated cooking procedures for an intelligent kitchen environment
Alternative Title Σημασιολογικά επισημειωμένες μαγειρικές διαδικασίες για το περιβάλλον μιας ευφυούς κουζίνας
Author Κονδυλάκης, Γιώργος Β.
Thesis advisor Στεφανίδης, Κωνσταντίνος
Reviewer Ζαμπούλης, Ξενοφών
Παρταράκης, Ν.
Abstract Food preparation is one of the most essential tasks in daily life and it involves a large number of physical interactions between hands and utensils, ingredients, etc. The fundamental unit in the food preparation activity is the concept of the recipe. The recipe describes the cooking process, the way how to make a dish as a sequential order of cooking steps. Frequently, following these steps can be an extremely complicated process, which requires coordination, monitoring and execution of multiple tasks simultaneously. The complexity of such a task can be magnified, if one thinks that an individual can slightly modify a common recipe, thus contributing to the general multiplicity of the enterprise. With the huge advances of technology and the increasing interest on assisting humans in their everyday lives, various attempts have been made to enhance the cooking process by integrating multimedia and embedding technologies in various stages. Computer vision can be used in order to establish spatial relationships and enable reasoning about the interaction between visual entities. This Thesis introduces a cooking assistance system that provides the user with guidance in the accomplishment of a recipe, while validating the correct execution of each step. All the necessary information regarding the recipe and the spatial arrangement of ingredients and utensils is imported in the form of a single configuration file, which is construed and analyzed by the system. Specifically, the system designed in the context of this work can provide the user with guidance in carrying out a recipe through the appropriate messages that appear in a panel, as a form of an interface with the user. It can also validate the overall correctness of the cooking procedure by utilizing the following information: (a) the correct sequence of steps which comprise a specific recipe, obtainable from the configuration file; (b) the detection of the ingredients used and the corresponding utensils; (c) the overall motion estimation of the scene; (d) the calculation of relative positions of objects involved in the cooking procedure, with respect to other objects. In order to explore the benefits and limitations of the developed system, two evaluations have been conducted. The first experiment included three motion detection algorithms. The best algorithm achieved 100% precision even for small lighting variations. The second experiment included detection of objects in unseen images during a real recipe preparation. The algorithm was able to detect almost all of the objects and at all video frames correctly. An exception was observed when the algorithm was presented with transparent objects (class mismatch) and objects that appeared inside other objects (false positives).
Language English
Subject Ambient environment
Computer vision
HCI
Machine learning
Αλληλεπίδραση ανθρώπου-υπολογιστή
Μηχανική μάθηση
Υπολογιστική όραση
Issue date 2022-03-18
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/2/4/c/metadata-dlib-1646129640-442707-23870.tkl Bookmark and Share
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