#Program do diagnostyki opel astra g drivers
#Program do diagnostyki opel astra g verification

In this regard, the study of the features of the functioning of a motor transport enterprise in conditions of high ambient temperatures and the development on this basis of a functional model for ensuring road safety is an urgent task. However, high ambient temperature is not included in such a list. Such environmental conditions are ice, fog, precipitation, low air temperature and others. Motor transport enterprises take into account the conditions of the external environment in their activities and adjust the technology of the transport process.

#Program do diagnostyki opel astra g drivers

The main reasons for this situation are changes in the condition of drivers and the low efficiency of the climate systems of some vehicles. The accident rate in road transport in the summer period of the year in conditions of high ambient temperatures has a steady upward trend. Subsequent testing of the designed system on a selected batch of sample images (containing all six types of possible defect) proved the functionality of the entire system while the highest values of successful defect detection certainty were achieved from 85.15% to 99.34%.

#Program do diagnostyki opel astra g verification

The implementation and verification of such an approach together with the proposed methodology of the visual inspection process of car tires to obtain better classification results for six different defect classes can be considered as the main novel feature of the presented research. The evaluation of the proposed control system with the quantification of the recognition capabilities in the individual defects is described at the end of the study. The design of a test facility with the application of a 12-megapixel monochrome camera over the rotational table is briefly described, whose task is to ensure optimal conditions during the scanning process. The detector used in the designed camera inspection system with the above architecture allowed us to achieve the accuracy and versatility needed to detect elements (defects) whose shape, dimensions and location change with each occurrence.

In this approach, the already pre-trained convolutional neural network AlexNet was used, subsequently modified in its last three layers, and again trained on a smaller sample of our own data. Due to the insufficient amount of input data, as well as the need to speed up the development process, the Transfer Learning principle was applied in a designed system. The article discusses the possibility of object detector usage in field of automated visual inspection for objects with specific parameters, specifically various types of defects occurring on the surface of a car tire. It can also be expected that the tire choice and condition may affect fuel consumption, and therefore the amount of energy consumed by the road transport. The technical studies performed might be a source for legal steps assuring better management of road safety. The focus was on an attempt to assess the impact of inflation pressure, age, and tire tread wear on the braking process. The study presents the results of bench measurements of the impact of selected features of tire condition of two vehicles during routine periodic inspections at a vehicle inspection station (VIS). The aim of the study is to examine the impact of tires on the results of tests performed at a vehicle inspection station. As a consequence, it has a significant impact on road safety. Their technical condition is a very important factor responsible for the quality of acceleration, braking, maintaining, or changing the direction of driving. One of the elements affecting the result of the technical condition test and basically the quality of vehicle braking is the technical condition of the tires.

The vast majority of vehicles are tested every year at vehicle inspection stations. The condition of car tires appears to be one of the important factors determining the occurrence of accidents. The social cost, as one of the factors determining sustainability of socioeconomic development, is strongly dependent upon a number of casualties and mortality in road accidents.