The reading of electricity consumption in Brazil is usually performed
manually. One way to improve the time spent in the reading process is to
provide a tool that recognizes the consumption based on images. In this
context, this paper presents a method based on adaptive template matching for
recognizing the power consumption displayed in digital power meters trough
images. This is a part of SILEM - Mobile Reading System module, a validation
system to automatically read and process images that are captured in the field,
detect inconsistencies and at the same time perform automatic consumption
recognition. The methodology results are promising, it recognized 72.18% of
all meter consumption correctly, with 86.38% of all meter having at least 5 of 6
digits correctly recognized, minimizing human interactions to correct the read
power consumption.
O Computer on the Beach é um evento técnico-científico que visa reunir profissionais, pesquisadores e acadêmicos da área de Computação, a fim de discutir as tendências de pesquisa e mercado da computação em suas mais diversas áreas.