Study On Anti-interference Technology Of Image Tire Wear Detector

The tire tread wear detection method based on line structured light is able to detect in real time and automatically,and has the advantages of accurate measurement and high efficiency,which has become the mainstream trend of current research and development.However,the structured light is susceptible to ambient light interference,making the existing tire wear detector can only work indoors or in low light environments,and its development and promotion are greatly limited.In this regard,this paper develops an image-based tire wear detector based on existing detection,and investigates the anti-interference of the system from both hardware and software algorithm directions,so that the detection is not limited by the environment and achieves accurate measurement under interference such as complex background and strong light.The contents are mainly as follows:(1)Design the measurement model of image-based tire wear detector to weaken the interference such as background ambient light from the hardware structure and optical circuit design.Including the arrangement of the position and angle of each component,the adjustment of the size of the cover window to ensure normal measurement while reducing the interference of ambient light;Component selection,the choice of indoor and outdoor use of high-brightness red line laser,and in the camera installed with the laser spectrum consistent with the filter,allowing only the same wavelength as the laser light into the filtered light of other wavelengths greatly reduces the interference of ambient light.According to the designed measurement model to complete the construction of the hardware system of image-based tire wear detector,to achieve the acquisition of structured light images.(2)The conventional image processing algorithms are analyzed and the optimal algorithm for structured light images is derived by experimental comparison.For the problem that the traditional algorithm cannot remove the high-brightness background noise under the strong light interference,the ambient light interference suppression algorithm based on top-hat operation and connectivity analysis is proposed,and it is experimentally verified that this algorithm can effectively suppress the background interference and solve the influence of light on the structured light image.After the image is processed,the structured light stripe centerline is extracted using the grayscale center of gravity method,and the conversion of the stripe center pixel coordinates to world coordinates is completed.(3)For the problems of difficult tire tread groove recognition,low recognition rate,difficult data feature extraction and complex operation of traditional recognition algorithms,BP neural network and convolutional neural network models are established to realize intelligent recognition of tire grooves.The data of the training model is large and rich because it takes into account various extreme cases of wear based on the actual tire crown line,which in turn improves the recognition rate of the neural network model and makes it more adaptive and robust.(4)Establish the software library and program interface of image-based tire wear detector,and realize the measurement of tire groove depth together with the hardware platform.Measurement experiments were conducted on several tires under different ambient light,and the experimental results show that the image-based tire wear detector can achieve automatic identification and measurement of tire grooves under strong light interference.It verifies the effectiveness and feasibility of the anti-interference research in this paper,and solves the problem that the existing tire wear detection device cannot work properly under strong light interference.