When measuring the intensity of light, the size of the light source should be small compared to the photometric distance. In this case, the law of squares of distance is fulfilled, which can be applied in practice and obtain high measurement accuracy if the photometry distance exceeds the largest size of the light source by at least 10 times. For light sources with finite dimensions at small distances to the illuminated surface, this law must be amended. This paper presents the results of calculations of errors when using the law of squares of distance for light sources of finite sizes of various shapes and various light distributions.

Keywords: the law of squares of distance, luminous intensity, measurement error, photometry distance.

Research subject. The influence of the intensity of the light source and the direction of its beam on the process of object recognition by machine vision sensors - visible spectrum cameras and light detection and ranging systems (LiDAR) has been studied. Factors such as the intensity of light, its trajectory and the angle of the beam relative to the horizon are taken into account. Method. The solution to the problem of analyzing the ability of machine vision sensors to recognize the ArUco marker under conditions of various levels of illumination is based on empirical research methods. The main results. During the recognition of objects by a machine vision camera at a high level of illumination, a distortion of the light flux on the camera matrix occurred. Bugs in the operation of LiDAR were also found. Practical significance. Obtaining research results was used to develop a means of assessing a high level of assessment of a high degree of probability of detecting objects of sensory vision.

Keywords: machine vision, LiDAR, influence of light, empirical study