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Smart Kitchen: Automatisk inventering av föremål
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2016 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Smart Kitchen : Automated inventory of items (English)
Abstract [sv]

Internet of Things växer fort och förutspås bli en del av vardagen. Detta öppnar möjligheter för att skapa produkter som förenklar vardagslivet. Automatisk objektsidentifiering kombinerad med en automatiserad lagerstatus kan underlätta inventering, något som kan användas till exempel i smarta kylskåp för att göra vardagen enklare genom Internet of Things.Detta examensarbete studerar metoder inom objektsidentifikation för att ta fram ett system som automatiskt kan identifiera objekt och hantera lagerstatus. En prototyp framställdes och testades för att se vilka möjligheter som finns. Systemet använder en Raspberry Pi som basenhet, vilken använder Dlib-bibliotek för att identifiera objekt som har blivit fördefinierade. Vid okända objekt identifierar användaren objekt i en mobilapplikation, systemet kan genom detta lära sig identifiera nya objekt. Samma applikation används för att se lagerstatusen på de olika objekt som har registrerats av systemet. Prototypen klarar av att identifiera kända objekt samt att lära sig nya, enligt projektets mål.

Abstract [en]

Internet of Things is growing fast and is predicted to become a part of everyday life. This can be used to create products which will make everyday life easier. Automated object detection combined with an automated inventory check can make it easier to manage what is in stock, this is something that can be used in smart refrigerators as an example, to make life more convenient through Internet of Things. This Bachelor thesis studies methods regarding object detection with the purpose to build a system which automatically identifies objects and manages the inventory status. A prototype was built and tested to see what the possibilities there is with such a system. The Prototype uses a Raspberry Pi as core unit, which uses Dlib libraries to identify predefined objects. The user will identify unknown objects via the mobile phone application, which makes it possible for the system to learn how to identify new objects. The same application is used to check the inventory status for the different objects that has been identified by the system. The prototype can identify objects and learn to identify new ones, according to the goals of the project.

Place, publisher, year, edition, pages
2016. , 52 p.
Series
TRITA-STH, 2016:2
Keyword [en]
Object identification, inventory status, Internet of Things, micro controller, computer vision.
Keyword [sv]
Objektidentifiering, lagerstatus, Internet of Things, mikrokontroller, datorseende
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:kth:diva-183583OAI: oai:DiVA.org:kth-183583DiVA: diva2:912680
External cooperation
Cybercom Group
Subject / course
Embedded System Design
Educational program
Bachelor of Science in Engineering - Electrical Engineering
Supervisors
Examiners
Available from: 2017-06-16 Created: 2016-03-17 Last updated: 2017-06-16Bibliographically approved

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