A method for detecting a network-capable device (201 - 206) in a home network, comprising the steps of: - capturing a digital image of a network-capable device (201 - 206) to be detected using a mobile communication terminal; - transmitting the captured digital image from the mobile communication terminal to a central server; - storing the received image in a database by the central server; - processing the received image by the central server using an artificial neural network, by supplying the received image or data derived from said image to the artificial neural network and the artificial neural network determining an output variable therefrom on the basis of a parameterizable processing chain; - associating the received image with a device class by the central server on the basis of the output variable determined by the artificial neural network; - transmitting a first device class information from the central server to the mobile communication terminal on the basis of the associated device class; - detecting network-capable devices (201 - 206) with which the mobile communication terminal is able to communicate via a wireless network; - transmitting status information from the respective detected network-capable devices (201 - 206) to the mobile communication terminal; - selecting at least one of the detected network-capable devices (201 - 206) on the basis of the transmitted first device class information, or specifying a second device class information by the user of the mobile communication terminal; - displaying network information on a screen of the mobile communication terminal; - transmitting second device class information associated with the selected network-capable device (201 - 206) and/or the second device class information specified by the user from the mobile communication terminal to the central server; - training the artificial neural network on the basis of the image stored in the database and the transmitted second device class information. - capturing a digital image of a network-capable device (201 - 206) to be detected using a mobile communication terminal; - transmitting the captured digital image from the mobile communication terminal to a central server; - storing the received image in a database by the central server; - processing the received image by the central server using an artificial neural network, by supplying the received image or data derived from said image to the artificial neural network and the artificial neural network determining an output variable therefrom on the basis of a parameterizable processing chain; - associating the received image with a device class by the central server on the basis of the output variable determined by the artificial neural network; - transmitting a first device class information from the central server to the mobile communication terminal on the basis of the associated device class; - detecting network-capable devices (201 - 206) with which the mobile communication terminal is able to communicate via a wireless network; - transmitting status information from the respective detected network-capable devices (201 - 206) to the mobile communication terminal; - selecting at least one of the detected network-capable devices (201 - 206) on the basis of the transmitted first device class information, or specifying a second device class information by the user of the mobile communication terminal; - displaying network information on a screen of the mobile communication terminal; - transmitting second device class information associated with the selected network-capable device (201 - 206) and/or the second device class information specified by the user from the mobile communication terminal to the central server; - training the artificial neural network on the basis of the image stored in the database and the transmitted second device class information.