Today, vision systems for robots had been widely applied to many important applications. But 3-D vision systems for industrial uses should face to many practical problems. Here, a vision system for bio-production has been introduced.
Clone seedlings plants are one of the important applications of biotechnology. Most of the production processes of clone seedlings plants are highly automated, but the transplanting process of the small seedlings plants cannot be automated because the shape of small seedlings plants are not stable and in order to handle the seedlings plants it is required to observe the shapes of the small seedlings plants. In this research, a robot vision system has been introduced for the transplanting process in a plant factory.
In the plant factory of crone seedlings, most of the production processes are highly automated, but the transplanting process of the small seedlings is hard to be automated because the figures of small seedlings are not stable and to handle the seedlings it is required to observe the shapes of the small seedlings. Here, a 3-D vision
system for robot to be used for the transplanting process in a plant factory has been introduced. This system has been employed relative stereo method and slit light measuring method and it can detect the shape of small seedlings and decides the cutting point. In this paper, the structure of the vision system and the image processing
method for the system is explained.
We have developed an experimental system for 3-D sensing using rotary vision sensor. Visual inspection systems are widely used for assembled PCB inspection. In many cases, these systems employ sophisticated optical systems, and to calibrate or adjust the system requires much effort of specialists. Also, the systems are very much specialized to the specified task and cannot be used for wide variety of applications. Recently, CCD cameras can be easily used for many applications and we proposed a experimental system for 3-D sensing using relative stereo method, last year. Using the idea, this time, we developed a new 3-D sensing system using the rotary vision sensor and motion picture analysis method. It can extract 3-D shape of objects with high reliability. In this paper, we introduce the idea of this system with experimental results.