The method for identifying wire markings in which digital images of a wire are taken, images are processed, image characteristics are separated and analysed, is characterized in that in the device having the housing, the upper wall of which is equipped with a monitor inclined at an angle of 12 to 18 degrees with respect to the horizontal plane of the device, inside the housing, beyond a camera observation field, connected to the camera, there is a microcomputer with a power supply, a signalling device and the system to control peripheral devices such as: driving lighting set, monitor, signalling device and sensors, where to the bottom part of the side walls (2a, 2b, 2c, 2d) of the housing a longitudinal panel is attached, above the panel parallel to it and symmetrically in the camera observation field, and perpendicular to the camera observation axis there is a wire lead containing the right and left lead channel (7a, 7b) and the right and left lead bed (8a, 8b), on the edge of each lead bed ( 8a, 8b) at least one sensor is placed, and above the lead at an angle of not less than 10 and not more than 20 degrees to the axis of the lead of a wire there is a set of lighting consisting of at least two pairs of LED headlights located above each lead channel (7a, 7b), and at its end, symmetrically with respect to each lead bed (8a, b) and symmetrically with respect to the camera observation axis, while the distance of the camera over the axis of the lead of a wire is selected so that the observation field of the camera covers the full length of the wire lead: - a wire is placed into the a wire lead so that the wire marking is completely in the a wire lead and points towards the camera, where the middle of the axis of the lead of a wire is located on camera observation axis perpendicular to this axis, - at least one sensor detects the wire, activates a signal about the presence of a wire and sends a signal (S1b) via the peripheral devices control system to the microcomputer, - the microcomputer receives the signal (S1b) about the presence of a wire and sends a control signal to the camera, which takes the picture of the wire and transmits a return signal containing the image to the microcomputer, - the microcomputer separates the image characteristics, analyses it and identifies the wire marking; during the first step the fields of the identified marking are determined and in the isolated image of the wire using the first deep convolution neural network, trained to recognize gaps between characters, identification of these gaps takes place in the image of the wire, in the second step in the isolated image of the wire using the second deep convolution neural network, trained to recognize characters, identification of these characters takes place in the image of the wire marking, and in the third step signals (S4, S5) generated in previous steps while identifying gaps and characters, are used to identify the wire marking, - in case of ineffective identification of the wire marking, the microcomputer sends to the camera a control signal, the camera takes another wire picture and transmits a return signal containing the image to the microcomputer, which again separates the image characteristics, analyses it and identifies the wire marking, - in the case of effective identification of the wire marking, the microcomputer sends to the signalling device via the peripheral devices control system the signal about the identification of the wire marking and the signalling device emits a signal about the end of the identification of the wire marking process. - a wire is placed into the a wire lead so that the wire marking is completely in the a wire lead and points towards the camera, where the middle of the axis of the lead of a wire is located on camera observation axis perpendicular to this axis, - at least one sensor detects the wire, activates a signal about the presence of a wire and sends a signal (S1b) via the peripheral devices control system to the microcomputer, - the microcomputer receives the signal (S1b) about the presence of a wire and sends a control signal to the camera, which takes the picture of the wire and transmits a return signal containing the image to the microcomputer, - the microcomputer separates the image characteristics, analyses it and identifies the wire marking; during the first step the fields of the identified marking are determined and in the isolated image of the wire using the first deep convolution neural network, trained to recognize gaps between characters, identification of these gaps takes place in the image of the wire, in the second step in the isolated image of the wire using the second deep convolution neural network, trained to recognize characters, identification of these characters takes place in the image of the wire marking, and in the third step signals (S4, S5) generated in previous steps while identifying gaps and characters, are used to identify the wire marking, - in case of ineffective identification of the wire marking, the microcomputer sends to the camera a control signal, the camera takes another wire picture and transmits a return signal containing the image to the microcomputer, which again separates the image characteristics, analyses it and identifies the wire marking, - in the case of effective identification of the wire marking, the microcomputer sends to the signalling device via the peripheral devices control system the signal about the identification of the wire marking and the signalling device emits a signal about the end of the identification of the wire marking process.