In English

Object detection and analysis using computer vision

Victor Friedmann Sandin ; Anna Thomsen
Göteborg : Chalmers tekniska högskola, 2017. 53 s.
[Examensarbete på grundnivå]

The project was performed at Consat Engineering AB’s facilities at Lindholmen, Gothenburg, in the spring of 2017. Consat Engineering AB produced a prototype that included a vision system, to analyze objects. This thesis exists to develop a proof of concept in form of a vision program, lowering the cost of the vision system, in order to be able to implement it in a commercial product. A pre-study comparing different hardware platforms and software libraries was conducted in order to best meet the requested specifications. The open source vision library OpenCV was chosen as the software library. A Raspberry Pi, running a Linux based OS called Raspbian, equipped with a camera was chosen as the hardware platform. Both of the choices included minimal expense towards the final cost of a future product that could be developed from this concept. After a finalized concept an evaluation test concluded that the program developed during this project fulfilled the requirements and proved that an open source solution significantly can lower the cost of the current vision system the prototype utilizes.

Nyckelord: Computer Vision, OpenCV, Raspberry Pi, open source software.

Publikationen registrerades 2017-10-10. Den ändrades senast 2017-10-10

CPL ID: 252429

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