Development of high-speed fibre-optical laser scanning system for defect recogntion

High-speed fibre-optic laser scanning systems are being used in automated industrial manufacturing environments to determine surface defects. Recent methods of surface defect detection involve the use of fibre-optic light emitting and detection assemblies. This thesis deals with the design and development o f a new high-speed photoelectronic system. In this work, two sources of emitting diode were examined, LED (light emitting diode) and laser diode. A line of five emitting diodes and five receiving photodiodes were used as light sources and detectors respectively. These arrays of emitting diodes and photodectectors were positioned opposite each other. Data capture was controlled and analysed by PC using Labview software. The system was used to measure the dimensions of the surface defects, such as holes (1 mm), blind holes (2 mm) and notches in different materials. The achieved results show that even though this system was used mainly for 2-D scanning, it may also be operated as a limited 3-D vision inspection system. This system furthermore showed that all the metal materials examined were able to reflect a signal of the infrared wavelength. A newly developed technique o f using an angled array o f fibres allows an adjustable resolution to be obtained with the system, with a maximum system resolution of approximately 1 0 0 |im (the diameter o f the collecting fibre core). This system was successfully used to measure various materials surface profile, surface roughness, thickness, and reflectivity. Aluminum, stainless steel, brass, copper, tufnol, and polycarbonate materials were all capable of being examined with the system. The advantages of this new system may be seen as faster detection, lower cost, less bulky, greater resolution and flexibility

Development of a mechatronic sorting system for removing contaminants from wool

Automated visual inspection (AVI) systems have been extended to many fields, such as agriculture and the food, plastic and textile industries. Generally, most visual systems only inspect product defects, and then analyze and grade them due to the lack of any sorting function. This main reason rests with the difficulty of using the image data in real time. However, it is increasingly important to either sort good products from bad or grade products into separate groups usingAVI systems. This article describes the development of a mechatronic sorting system and its integration with a vision system for automatically removing contaminants from wool in real time. The integration is implemented by a personal computer, which continuously processes live images under the Windows 2000 operating system. The developed real-time sorting approach is also applicable to many other AVI systems

Adaptive illumination source for multispectral vision system applied to material discrimination

A multispectral system based on a monochrome camera and an adaptive illumination source is presented in this paper. Its preliminary application is focused on material discrimination for food and beverage industries, where monochrome, color and infrared imaging have been successfully applied for this task. This work proposes a different approach, in which the relevant wavelengths for the required discrimination task are selected in advance using a Sequential Forward Floating Selection (SFFS) Algorithm. A light source, based on Light Emitting Diodes (LEDs) at these wavelengths is then used to sequentially illuminate the material under analysis, and the resulting images are captured by a CCD camera with spectral response in the entire range of the selected wavelengths. Finally, the several multispectral planes obtained are processed using a Spectral Angle Mapping (SAM) algorithm, whose output is the desired material classification. Among other advantages, this approach of controlled and specific illumination produces multispectral imaging with a simple monochrome camera, and cold illumination restricted to specific relevant wavelengths, which is desirable for the food and beverage industry. The proposed system has been tested with success for the automatic detection of foreign object in the tobacco processing industry

Flexible manufacturing for photonics device assembly

The assembly of photonics devices such as laser diodes, optical modulators, and opto-electronics multi-chip modules (OEMCM), usually requires the placement of micron size devices such as laser diodes, and sub-micron precision attachment between optical fibers and diodes or waveguide modulators (usually referred to as pigtailing). This is a very labor intensive process. Studies done by the opto-electronics (OE) industry have shown that 95 percent of the cost of a pigtailed photonic device is due to the use of manual alignment and bonding techniques, which is the current practice in industry. At Lawrence Livermore National Laboratory, we are working to reduce the cost of packaging OE devices through the use of automation. Our efforts are concentrated on several areas that are directly related to an automated process. This paper will focus on our progress in two of those areas, in particular, an automated fiber pigtailing machine and silicon micro-technology compatible with an automated process

Visual Inspection System To Detect Connector Tilts In PCBAs [TS156. V844 2005 f rb] [Microfiche 7845].

Sistem pemeriksaan visual automatic memainkan peranan penting dalam bahagian tapisan kualiti di industri eletronik. AVI’s are playing important roles in quality inspection in the electronic industry

Stanje razvoja strojnog vida

Machine vision (system visional) it\u27s a apply computer vision in industry. While computer vision is focused mainly on image processing at the level of hardware, machine vision most often requires the use of additional hardware I/O (input/output) and computer networks to transmit information generated by the other process components, such as a robot arm. Machine vision is a subcategory of engineering machinery, dealing with issues of information technology, optics, mechanics and industrial automation. One of the most common applications of machine vision is inspection of the products such as microprocessors, cars, food and pharmaceuticals. Machine vision systems are used increasingly to solve problems of industrial inspection, allowing for complete automation of the inspection process and to increase its accuracy and efficiency. As is the case for inspection of products on the production line, made by people, so in case of application for that purpose machine vision systems are used digital cameras, smart cameras and image processing software. This paper presents the principle of image processing, the components of the system and possible applications of machine vision in the present.Strojni vid (vidni sustav) je primjena računalnog vida u industriji. Dok je računalni vid usmjeren uglavnom na obradu slike na razini hardvera, strojni vid najčešće zahtijeva korištenje dodatnog hardvera I / O (input / output) i računalnih mreža za prijenos podataka generiranih od strane drugih komponenata procesa, kao što je robotska ruka. Strojni vid je pod kategorija inženjerskog projektiranja, a bavi se pitanjima informatičke tehnologije, optike, mehanike i industrijske automatizacije. Jedna od najčešćih primjena strojnog vida je inspekcija proizvoda kao što su mikroprocesori, automobili, hrana i farmaceutski proizvodi. Sustavi strojnog vida koriste se sve više za rješavanje problema industrijske inspekcije, omogućujući potpunu automatizaciju procesa inspekcije i povećanje njezine točnosti i efikasnosti. Kao što je slučaj kod kontrole proizvoda na proizvodnoj liniji koju provode ljudi, tako se i u slučaju primjene sustava strojnog vida koriste digitalne kamere, pametne kamere i programi za obradu slike. U radu su prikazani princip obrade slike, komponente sustava i moguće primjene strojnog vida u sadašnjosti

Stanje razvoja strojnog vida

Machine vision (system visional) it\u27s a apply computer vision in industry. While computer vision is focused mainly on image processing at the level of hardware, machine vision most often requires the use of additional hardware I/O (input/output) and computer networks to transmit information generated by the other process components, such as a robot arm. Machine vision is a subcategory of engineering machinery, dealing with issues of information technology, optics, mechanics and industrial automation. One of the most common applications of machine vision is inspection of the products such as microprocessors, cars, food and pharmaceuticals. Machine vision systems are used increasingly to solve problems of industrial inspection, allowing for complete automation of the inspection process and to increase its accuracy and efficiency. As is the case for inspection of products on the production line, made by people, so in case of application for that purpose machine vision systems are used digital cameras, smart cameras and image processing software. This paper presents the principle of image processing, the components of the system and possible applications of machine vision in the present.Strojni vid (vidni sustav) je primjena računalnog vida u industriji. Dok je računalni vid usmjeren uglavnom na obradu slike na razini hardvera, strojni vid najčešće zahtijeva korištenje dodatnog hardvera I / O (input / output) i računalnih mreža za prijenos podataka generiranih od strane drugih komponenata procesa, kao što je robotska ruka. Strojni vid je pod kategorija inženjerskog projektiranja, a bavi se pitanjima informatičke tehnologije, optike, mehanike i industrijske automatizacije. Jedna od najčešćih primjena strojnog vida je inspekcija proizvoda kao što su mikroprocesori, automobili, hrana i farmaceutski proizvodi. Sustavi strojnog vida koriste se sve više za rješavanje problema industrijske inspekcije, omogućujući potpunu automatizaciju procesa inspekcije i povećanje njezine točnosti i efikasnosti. Kao što je slučaj kod kontrole proizvoda na proizvodnoj liniji koju provode ljudi, tako se i u slučaju primjene sustava strojnog vida koriste digitalne kamere, pametne kamere i programi za obradu slike. U radu su prikazani princip obrade slike, komponente sustava i moguće primjene strojnog vida u sadašnjosti

Application of Robot in CNC Manufacturing Process in Connection with Embeddedsystem

Embedded an Electronic system basically a computer application with dedicated function with a large mechanical and electrical integrated system. The use or application of embedded system in various areas worldwide. Hence in this study, we discussed about the wide area of application and finally we have discussed about the use of embedded system in connection with industrial robot along with CNC technology in flexible manufacturing (FMS) where accurate control of speed and position of DC motor in precession and repeatability in motion control have achieved in servomotor and machine actuators.In the paper Specific Area of Embedded System and its Applications have been used as applications of specific processor and devices such as Robot application of CNC in world Class manufacturing process

A STUDY OF MACHINE VISION IN THE AUTOMOTIVE INDUSTRY

With the growth of industrial automation, it has become increasingly important to validate the quality of every manufactured part during production. Until now, human visual inspection aided with hard tooling or machines have been the primary means to this end, but the speed of today's production lines, the complexity of production equipment and the highest standards of quality to which parts must adhere frequently, make the traditional methods of industrial inspection and control impractical, if not impossible. Subsequently, new solutions have been developed for the monitoring and control of industrial processes, in real­time. One such technology is the area of machine vision. After many years of research and development, computerised vision systems are now leaving the laboratory and are being used successfully in the factory environment. They are both robust and competitively priced as a sensing technique which has now opened up a whole new sector for automation. Machine vision systems are becoming an important integral part of the automotive manufacturing process, with applications ranging from inspection, classification, robot guidance, assembly verification through to process monitoring and control. Although the number of systems in current use is still relatively small, there can be no doubt, given the issues at stake, that the automotive industry will once again lead the way with the implementation of machine vision just as it has done robotic technology. The thesis considered the issue of machine vision and in particular, its deployment within the automotive industry. The thesis has presented work on machine vision for the prospective end-user and not the designer of such systems. It will provide sufficient background about the subject, to separate machine vision promises from reality and permit intelligent decisions regarding machine vision applications to be made. The initial part of the dissertation focussed on the strategic issues affecting the selection of machine vision at the planning stage, such as a listing of the factors to justify investment, the capability of the technology and type of problems that are associated with this relatively new but complex science. Though it is widely accepted that no two industrial machine vision systems are identical, knowledge of the basic fundamentals which underpin the structure of the technology in its application is presented. This work covered a structured description detailing typical hardware components such as camera technology, lighting systems, etc... which form an integral part of an industrial system and discussions regarding the criteria for selection are presented. To complement this work, a further section is specifically devoted to the bewildering array of vision software analysis techniques which are currently available today. A detailed description of the various techniques that are applied to images in order to make use of and understand the data contained within them are discussed and explored. Applications for machine vision fall into two main categories namely robotic guidance and inspection. Obviously within each category there are many further sub­groups. Within this context the latter part of the thesis reviews with a well structured description of several industrial case studies derived from the automotive industry, which illustrate that machine vision is capable of providing real time solutions to manufacturing based problems. In conclusion, despite the limited availability of industrially based machine vision systems, the success of implementation is not always guaranteed, as the technology imposes both technical limitations and introduce new human engineering considerations. By understanding the application and the implications of the technical requirements on both the "staging" and the "image-processing" power required of the machine vision system. The thesis has shown that the most significant elements of a successful application are indeed the lighting, optics, component design, etc... - the "Staging". From the case studies investigated, optimised "staging" has resulted in the need for less computing power in the machine vision system. Inevitably, greater computing power not only requires more time but is generally more expensive. The experience gained from the this project, has demonstrated that machine vision technology is a realistic alternative means of capturing data in real-time. Since the current limitations of the technology are well suited to the delivery process of the quality function within the manufacturing process