Prototyping of Image-Based Inspection Mechanisms by CAD and Virtual Reality Technology

2008 ◽  
Vol 594 ◽  
pp. 15-21 ◽  
Author(s):  
Quang Cherng Hsu
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Optical Sensors ◽  
Processing System ◽  
Ccd Camera ◽  
Image Process ◽  
Process Technology ◽  
Image Processing System ◽  
3D Cad ◽  
Small Parts

Image-processing technology is widely used in industry for automatic inspection and measurement through the capturing of object images by CCD (Charge-Couple Device) cameras and the built-in algorithms. VR (Virtual Reality) is a high-end user interface that involves real-time simulation and interactions through multiple sensorial channels. Three important characteristics of VR are: immersion, interaction, and imagination which enable the users more direct and useful communications with manufacturing prototyping systems. In this paper, an image processing system was developed for measuring small parts such as 3C rivets automatically. If using optical sensors to measure such small parts, the mechanism is complicate. However, if using image process technology, the mechanism is simple and the measurement is efficient. All we have to do are to develop measuring algorithms as well as computer programs. A VR-based image processing system was also developed by importing 3D CAD objects and applying the relationships between these objects. Therefore, the image processing algorithms as well as the layout of the measurement system can be tested by using the proposed VR system without any real machine such as transfer mechanism, CCD camera, and computer with image processing program.

Design of a High-Reliability FPGA Platform for High-Resolution Image Process System

2015 ◽  
Vol 764-765 ◽  
pp. 1283-1287
Author(s):  
Wen Tzeng Huang ◽  
Hung Li Tseng ◽  
Jian Cheng Dai ◽  
Chin Hsing Chen ◽  
Sun Yen Tan
Keyword(s):  
Image Processing ◽  
High Speed ◽  
High Reliability ◽  
Processing System ◽  
Simulation Software ◽  
Image Process ◽  
Image Processing System ◽  
Signal Line ◽  
Process System ◽  
Standard Value

With continuous advancement in science and technology, the image quality has entered an era of full-HD. This study developed a high-reliability image processing system platform, based on the FPGA platform. By using a high-reliability hardware platform development process, and with the aid of the simulation software, this study simulated the transmission integrity of the high-speed digital signals on the PCB. The proposed method was used to build a FPGA-based high-reliability image processing system platform. The implementation in this study, with the length of the Clock and DQS signal line of DDR2 being controlled within 555 mil, was discussed, and the errors were analyzed. The simulated value of the tDQSCK was 195.048 ps, the measured value was 215 ps, and the standard value of the JEDEC was less than 350 ps. Between the simulated value and the measured value, there was only an error of about 9.3%, which meets the reliability requirement. The length tolerance of the signal line laid was 38.5% better than the standard value of the JEDEC.

Early-Injection and Time-Resolved Evolution of a Spray for GDI Engines

2002 ◽  
Author(s):  
A. De Vita ◽  
L. Di Angelo ◽  
L. Allocca
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing System ◽  
Ccd Camera ◽  
Cylindrical Shape ◽  
Hollow Cone ◽  
Temporal Shift ◽  
Image Processing System ◽  
Gdi Engines

An extensive experimental study on sprays from an injector for gasoline direct injection (GDI) engines has been performed. Spatial and temporal evolution measurements of a large cone-angle jet, emerging from a high pressure swirled injector, have been carried out in an optically accessible vessel. The spray has been lightened, both along the spray axis and in cross sections perpendicular to it, by a 532 nm Nd-YAG pulsed laser sheet, 80 mm thickness and 12 ns duration. The scattered light has been collected at 90° with respect to the sheet direction by a digital CCD camera with a frame grabber synchronized with the injection command and the laser pulse. A digital delay system has provided a fine temporal shift (up to microseconds range) of the images acquisition with respect to the start of the injection (SOI). Finally, a digital image processing system has provided analysing the images collected by the CCD camera. The emerging spray has been acquired with three spatial scales, providing both the global and local spray behaviour, and with a detailed temporal resolution to characterize the early stage of the jet formation. The initial phase of the spray is characterized by a strong axial component of the velocity with respect to the radial one, resulting in a pre-spray or slug phase. It produces a cylindrical shape of the jet with the characteristic mushroom shape. Large droplets with high momentum are produced, travelling downstream in advance to the main spray. At later time the radial velocity component controls the process and it gives up to the classical hollow-cone shape with a strong interaction with the gas in the vessel. The images give evidence in time of the collapse of the hollow-cone structure hence resulting in a full cone spray. This behaviour is confirmed by the cross section measurements through the spray, carried out in the range 10–40 mm from the nozzle tip. These measurements make evidence of the refilling of the cone with the presence of strong vortexes on the boundary of the jet. The effects of the fuel injection pressure, injection duration and air-flow field interaction on the structure and evolution of the spray have been studied in details. The digital image processing system also has allowed to reconstruct the spray profile and to determine a refilling index.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

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