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In this paper, a traffic cone localization and angle measurement system is designed from the perspective of digital image processing based on monocular camera. The system can assist the traffic cone cart to automatically identify and locate the traffic cones during the process of collecting traffic cones. The angle of the traffic cone is measured when it is laying down based on the positional relationship of the feature points. In order to verify the reliability of the system, we adjust the images collected by the camera, then we recognize the colors and process the images morphology to determine whether the traffic cones exist in the image, finally we get the real positions and the angles in physical space by geometric relation deductive method on the simulation platform VS2010+OpenCV. The measurement error is within an accept range since its mistakes are all less than 2 cm during the tests. The experimental results show that the system can identify the traffic cones on the road surface effectively and calculate its position and angle information, which can satisfy the needs of the traffic cone cart. Introduction With the accelerated pace of traffic, road maintenance construction requirements as far as possible without affecting the traffic order under the promise. The placement and collection of traffic cones is the necessary work in the process of road construction, artificial placement and collection of traffic cones have a low efficiency, and the surrounding vehicles will also cause security risks to persons, the solution is the implementation of automatic placement and collection . The automatic placement process of traffic cones is simple, it only need a mechanical arm to carry traffic cones to the appropriate location from its own storage box. The spacing and direction of traffic cones placed mainly rely on the speed and direction of traffic cone cart. But the automatic collection process of traffic cones is quite complex, because the locations of traffic cones on the road are not fixed relative to the path of traffic cone cart. At present, the researches on traffic cone identification and localization were rare. The effect of the existing research results for traffic cone cart is not very satisfactory. Such as traffic cone recovery system of the ADDCO company in United States, cone recycling car in pickup truck platform, traffic cone machine invented by Beijing LIANJIEDA highway maintenance engineering company, and automatic traffic cone cart of Henan lofty highway maintenance equipment company. In the process of traffic cone collection, traffic Cone identification and localization of the above productions entirely determined by the route of the driver controlling, greatly dispersed in the process of looking for traffic cones. 489 7th International Conference on Education, Management, Computer and Society (EMCS 2017) Advances in Computer Science Research (ACSR), volume 61

Design of Traffic Cone Localization and Angle Measurement System Based on Monocular Camera