Özet:

Through cooperation created by human and robot collaboration, flexibility, efficiency, capacity and quality in production can be enhanced. In this collaborative form of work (in human-robot interaction) the sharing of the same environment between man and robot; as it reveals the possibility of collision/conflict, it is the most important problem to ensure safety in such working environments. Safety in traditional robot systems is provided with a variety of equipment, such as cabin systems, laser scanners, light barriers. However, these systems limit the working environment, eliminating the flexibility factor that is suggested as an advantage in human and robotic collaboration. The main purpose of this study is to be able to uncover a system and algorithm based on image processing in which the cameras and equipment placed on the robot are used to eliminate the caves and other preventive systems. The camera and equipment used is noted to be selected from the standard equipment that will meet the needs, but low-cost. Thus, a low-cost and easy-to-apply solution has been sought to be created so that standard industrial robots can be operated in an interoperable form. For this purpose; in the study, the method developed first on the positioning of multiple cameras and the obtaining of image. It is then indicated to obtain a single panoramic image from the multiple images obtained and to identify the person/object and how the location and distance extraction are made through this data. The algorithm that uses the found parameters and defined security rules to regulate the work of humans and robots in the same environment has been summarized, and the achievements of the developed system have been discussed and forecast for the work that can be done in the future.

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