Mitsubishi Electric Corporation

Shinichiro Otani

Masanori Nakata

Yoshinori Nakajima

Seiji Okumura

Fuyuki Sato

Tomooki Ukiana

Genta Yoshimura

Toshihiro Mega

Keita Saito

Fumio Igarashi

Hiroki Kawano

An image acquisition unit () acquires a photographed image obtained by photographing an air-conditioning indoor unit including a plurality of air outlets. An image collation unit () collates a template image wherein an air-conditioning indoor unit of a same type as the air-conditioning indoor unit is shown with the photographed image. An air outlet identification unit () determines an air outlet identifier of each air outlet in the photographed image based on a collation result, and on air outlet identification data indicating an air outlet identifier to be associated with each air outlet in the template image. An identification result display unit () displays the photographed image by superimposing the air outlet identifier on each air outlet in the photographed image.

Air-conditioning operation terminal, computer-readable medium and air-conditioning system

A power consumption estimation device () which estimates power consumption of each of one object facility () or more whose operation statuses can be monitored includes: a total power vector generation unit () to acquire time-series data of total power consumption; a status matrix generation unit () to acquire time-series data of an operation parameter of the one object facility () or more; a reference signal generation unit () to generate one reference signal or more; a contribution degree estimation unit () to perform multiple regression analysis by taking the total power consumption as an objective variable, and the operation parameter of the one object facility () or more and a component value of the one reference signal or more, as explanatory variables, to thereby calculate a contribution degree of each of the one object facility () or more; and a breakdown calculation unit () to multiply the contribution degree of the object facility () and the operation parameter of the object facility (), to thereby calculate power consumption of the object facility ().

Power consumption estimation device

In a method to detect a stationary person by a tracking method using images, image feature quantities of objects, other than persons, are registered in advance, and when the image feature quantity of a stationary region of an image does not resemble the preregistered ones, the stationary region is recognized as a person. Hence, there has been a problem that it requires a large volume of image feature quantities to be collected and registered in advance. A person detecting device and a person detecting method which relate to the present invention determine a stationary region on the basis of the distance between the position of a first moving-object region extracted from an image and the position of a second moving-object region extracted from an image previous to the image of the first moving-object region. The presence or absence of a person is determined by using the image feature variation of the stationary region. Therefore, apparatuses can be controlled in accordance with person information including a stationary person without collecting and registering a large volume of the image feature quantities.

Person detecting device and person detecting method

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Tokyo, Japan

Shinichiro Otani