Nano-level 3-D measurement is one of the key technologies for the current and future generation of production systems
for semi-conductors, LCDs and nano-devices. To meet with these applications, wide range nano-level 3-D shape
measurement method using combination of RGB lights has been developed. It measures the height of nano-objects using
RGB lights interference color fringes. To analyze the RGB color fringes, the adaptive phase analysis method of
interference fringes has been developed and achieved its efficiency. But it cannot measure the shape of edges. To meet
with the difficulty, the color analysis method on xy-color plane has been introduced. The combination of the phase
measurement method and the color analysis method has measured the 5 micrometer columns precisely. The evaluation
shows that the method has the ability to measure the plane height at 10 nm level measuring deviation with 0,5
micrometer horizontal preciseness. For a practical application, the shape of needles for AFM has been extracted,
successfully.
Nano-level 3-D measurement is one of the key technologies for the current and future generation of production systems
for semi-conductors, LCDs and nano-devices. To meet with these applications, wide range nano-level 3-D shape
measurement method using combination of RGB laser lights has been developed. It measures the height of nano-objects
from the combination of RGB LED lights interference. To analyze the combination of RGB lights, the color analysis
method on xy-color plane has been introduced. In this method, the color changes on xy-color plane means the height
changes. Experimental system to measure the three micro-meter height has been developed, and succeeded to measure
the 50 nm step and 1000 nm step samples. The method has been applied to measure a nano-device, a contact needle for
measurement. The shape of the needle has been extracted, successfully.
Clone nursery plants production is one of the important applications of bio-technology. Most of the production processes of bio-production are highly automated, but the transplanting process of the small nursery plants cannot be automated because the figures of small nursery plants are not stable. In this research, a transplanting robot system for clone nursery plants production is under development. 3-D vision system using relative stereo method detects the shapes and positions of small nursery plants through transparent vessels. A force controlled robot picks up the plants and transplants into a vessels with artificial soil.
For long years, image processing researchers pay tremendous effort to develop visual inspection systems. To
develop the visual inspection systems requires long and severe effort of image processing experts. But in many cases,
human operators can detect the defects, very easily. Here, the visual inspection system with human operator's sensitivity
simulator is discussed. To develop the simulator, the human sensitivity model for visual inspection should be
accomplished. To have the model, several experiments to evaluate the human sensitivity have been required. In this
paper, some experiences to evaluate the human sensitivity have been introduced.
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.
The crone seedlings have unstable form and it is hard to handle. In order to transplant crone seedlings automatically, the functions of 3D-shape recognition and force control of grippers are indispensable. We have introduced the new handling technology which combines the 3D-mesurement using the relative stereo method and gripping method by gripping stroke control for high elasticity forceps structure. In this gripping method, the gripping force is controlled according to
the shoot diameter which is measured by 3d-mesurment of relative stereo method. The experimental crone seedlings transplant system using the new handling technique has been shown.
The goal of HUTOP project is to rearrange the technical subjects inherent in the Total Production Life Cycle (TPLC) and to model a new human-centered TPLC by introducing new information technologies (IT) which could support and enhance the KANSEI human sensory factors. HUTOP concept will be described again in this paper through the analysis of the basic research sub-themes in order to investigate the next international activities. Second phase of HUTOP was designed as HUTOP-II, and HUTOP-II research activities are now on going.
KEYWORDS: 3D vision, Sensors, Cameras, Sensing systems, Computer programming, 3D acquisition, Three dimensional sensing, 3D modeling, Systems modeling, 3D surface sensing
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.
In recent years, three-dimensional measurement in machine vision is applied to various places, such as a production line. When applying to a production line, in order to raise its reliability and cost performance, it is indispensable to measure the three-dimensional position of an object at high speed and with high precision. Then, in order to measure the position of an object, we propose the new
three-dimensional measurement technique which combined the single
light stripe method and the relative stereo method in this paper.
Further, we will show that this technique can measure the
three-dimensional position of all the objects projected in the stereo images at high speed and with high precision. Finally, we show results of an evaluation experiment for the measurement technique.
3-D measurement of electronic components has been required to inspect the assembled PCB, visually. In many cases, the methods such as structure light methods were introduced into the practical inspection lines. The visual inspection systems with structure method are usually expensive and functionally limited. To solve the problem, a
relative stereo method has been developed to the PCB visual inspection system. The relative stereo system has the unique feature of calibration free precise 3-D measurement. In the paper, the optical structure of the system and its processing method has been introduced.
To prove the safety of the concrete constructions, the evaluation of the concrete crack visually is one of the important items. There are many kinds of cracks. In this paper, the method to extract the cracks from the noisy images has been developed. Then, a system to evaluate the concrete crack is introduced. Finally, the method to classify the cracks has been considered.
For the mountedprinted circuit board inspection, the inspection system is required to detect the 3-D position of the components. To detect the 3-D positions of components,a 3-D vision sensor with multiple CCD cameras has been introduced. The system executes the stereo image processing to measure the 3-D position of he objects. For the electric components, the expected position on he PCB boards can be defined. So, the method of stereo image processing is simplified. Only preparing a measuremen line on every component is enough to detect its position. To perform the stereo image processing on the line, Dynamic Programming can be applied to perform the stereo matching between the locally deformed two images. Introducing the DP method to the stereo matching,the experimental system has been proved its precise 3-D position detection ability.
We have developed a visual inspection machine for solder int defects of SMDS (Surface Mount Devices) mounted on PCBs (Printed Circuit Boards). The change of the intensity of the reflected light obtained by illuminating the soldered surface from different incident angles depends on the gradient of the soldered surface. We generate an images that represents this change of intensity and analyze this image to inspect the solder joint defects. In addition we report on an automatic generation program of the NC data for inspection.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.