###### Abstract
The authors claim that the proposed solution can be used to analyze and detect any kind of anomaly; however, only a concept is presented in the article. ABB company offers a similar suspended device [3,4]. The device proposed by the company differs in that it is mounted on a durable rail located on the side of the conveyor, which allows for a more accurate analysis of its suspension. The company also uses ultrasonic analysis to assist detection. The proposed solution has already been implemented in industrial conditions. Another solution for mine inspection of conveyors is proposed in article [5]. The authors present a prototype of a wheeled robot based on a UGV (Unmanned Ground Vehicle) platform for inspection works. The robot is remotely controlled via radio communication. Its sensor layer is mainly based on an RGB color camera and thermography. The article presents the results of tests carried out on a test rig, including standard techniques for detecting anomalies in thermal images. Figure 1: (**a**) Exemplary mining conveyor transporting copper ore, (**b**) main components of belt conveyor. The authors point out the great challenge in achieving the required motor skills of the robot related to the difficult ground conditions along the conveyor route. An extension of this research is [6], in which a UGV robotic system is tested for rescue action support in an underground mine with special emphasis on image processing techniques using YOLO (\"You Only Look Once\") and HOG (Histogram of Oriented Gradients) algorithms. Experiments have shown that the robot is capable of operating in harsh environments. Automatic inspection of conveyor rollers was also mentioned in [7], where the authors proposed a platform with a 6 DoF (Degrees of Freedom) robotic arm upon which a thermal imaging camera, microphone, and LIDAR were mounted. The described solution inspects conveyor elements by continuous analysis using acoustics and thermography, and in case of anomalies, by accurate mapping of the element with LIDAR. The authors of [8] presented a mobile platform suspended in the middle of the conveyor (between the upper and lower belt), which performs inspection through infrared thermography. In [9], the use of UAVs to control the condition of rollers based on thermovision is presented. The first tests showed effective detection of damages to the belt conveyor rollers. It was proposed to use a backend platform that enables cloud connectivity and integration with other enterprise IT systems. In the case of an underground mine, the use of UAV and thermovision requires high needments in terms of terrain recognition (poor visibility, dust, little light), quality of infrared images (mainly dusting of air and conveyor elements), and maintaining stability (obstacles, air vortices, ventilation). In the case of conveyor inspection, three main elements on which the inspection should focus are belt, rollers, and a drive unit. Rollers (idlers) are rotating elements supporting the belt. They are composed of two bearings mounted on a stationary shaft covered with cylindrical cladding. In the case of idlers, typical damage applies to such elements as shaft, roller tube, bearing block, and bearing. Moreover, the idler may become blocked, causing it to rub against the belt, or it may also not adhere to the belt. A frequent issue is also the lack of a stable fixing of the idler set to the ground. Generally, the most common damage of the rollers concerns the bearings. Belt conveyor idler roll behaviors were considered in detail in [10]. In the case of idlers, the usual diagnostic solutions are based on vibration, thermal and acoustic signals. From the inspection robotization point of view for the belt conveyor, methods based on thermovision and acoustics seem to be the most appropriate. During the rotation of the roller, we observe the phenomenon of friction between its internal parts. For example, bearing failure increases the level of friction and temperature.