ABSTRACT In our modern society, the design and implementation of intelligent equipments for autonomous physical services become more and more important. In line with this, the proposed Intelligent Vision Agent System, IVAS, is able to automatically detect and identify a target for a specific task by surveying human activities space. One of IVAS’ applications can be the adjustment of sink height for different height of people. Usually, the sink is fixed in one place, however, the height of sink could be too high to use for children. It becomes a real problem and may bring much of inconvenience and insecurity for the little boys and girls. The equipment for dynamical adjustment of sink height is rare in today’s society. The most common sink height adjustments are of two types. The first way is to place two sinks, one for adult and one for a kid individually. The second way is to use a spring device to adjust the height of sink. But, the both solutions have some limitations. The disadvantage of first method is that it takes too much space, and not all bathrooms can accommodate two sinks at the same time. The weakness of second way is a need to manually adjust the height of sink. In order to achieve an optimal design of adjustable sink high, the author uses a camera fixed on wall connected to an intelligent agent controlling suitable actuators. The camera captures a photo of the person who comes to the sink. The height of person can be estimated from the image. Furthermore, one makes use of this height value to find the suitable sink height for the user. Finally, the sink is descending or ascending by the lifting columns to adjust it to the different height of people. In this thesis, the author has implemented a method, which estimates the height of person from a single image. This technique is based on the single view metrology. Keywords: Sink, Height Measurement, Vision, Single View Metrology
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-4479 |
| Date | January 2011 |
| Creators | LIU, HUI |
| Publisher | Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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