Automated visual inspection (AVI) research for quality control in metal stamping manufacturing

This paper presents a set of techniques in Automated Visual Inspection (A Vl) system to perform qnality control for metal stamping industry. AV/ system is aim to confirm whether a product match its quality standard and requirement or not. The system consists of 2D image sensor, lighting system, computer, image processing routines, networking, and handling mechanism. The system is expected to be integrated in the over all process in industry. This paper is focusing to the algorithm aspects of the A VJ system. ft consists of digital image acquisition, noise reduction, edge detection, feature extraction and classification. The result shows the potential implementation to improve the quality control in manufacturing environment

Entrepreneurial Orientation and Organizational Commitment in SMEs as Form of Business Performance Improvement

Small and Medium Enterprises (SMES) play an important role in economic growth throughout the world. The objective of this study is to determine and analyze the impact of entrepreneurial orientation and organizational commitment in SMES as a form of improvement in business performance in Indonesia. This study uses a quantitative approach with the survey method of 6,708 SMES who have a business license. This study will be taken 200 samples, with a random backup technique of 10%, spread across 17 districts. Analysis of technical data in this study uses structural equations modeling (SEM) using AMOS Software. The results of the study is similar with the empirical data received. The result of the entrepreneurship orientation tests is partially proved positive and significant effect on the organizational commitment performance. Entrepreneurial orientation variables are not proven as positive and significantly in improving the SME performance. Organizational commitments are not proven as positive and significant effect on SME performance. Entrepreneurial orientation does not prove to be an intermediary between organizational commitment variables in SME performance. Keywords: Entrepreneurial Orientation, Organizational Commitment, SMEs Performanc

Real world coordinate from image coordinate using single calibrated camera based on analytic geometry

The determination of real world coordinate from image coordinate has many applications in computer vision. This paper proposes the algorithm for determination of real world coordinate of a point on a plane from its image coordinate using single calibrated camera based on simple analytic geometry. Experiment has been done using the image of chessboard pattern taken from five different views. The experiment result shows that exact real world coordinate and its approximation lie on the same plane and there are no significant difference between exact real world coordinate and its approximation

Retinal Blood Vessel Segmentation Using Ensemble of Single Oriented Mask Filters

This paper describes a method on segmentation of blood vessel in retinal images using supervised approach. Blood vessel segmentation in retinal images can be used for analyses in diabetic retinopathy automated screening. It is a very exhausting job and took a very long time to segment retinal blood vessels manually. Moreover these tasks also requires training and skills. The strategy involves the applications of Support Vector Machine to classify each pixel whether it belongs to a vessel or not. Single mask filters which consist of intensity values of normalized green channel have been generated according to the direction of angles. These single oriented mask filters contain the vectors of the neighbourhood of each pixel. Five images randomly selected from DRIVE database are used to train the classifier. Every single oriented mask filters are ranked according to the average accuracy of training images and their weights are assigned based on this rank.  Ensemble approaches that are Addition With Weight and Product With Weight have been used to combine all these single mask filters. In order to test the proposed approach, two standard databases, DRIVE and STARE have been used. The results of the proposed method clearly show improvement compared to other single oriented mask filters

Pembangunan Kotak Pembatas 3D dari Beberapa Citra

Kotak pembatas tiga dimensi (3D) banyak digunakan dalam pembangunan aplikasi computer vision 3D, grafika komputer, simulasi medis, permainan komputer dan animasi. Ketepatan pembangunan kotak pembatas 3D sangat berpengaruh terhadap kompleksitas komputasi dan keakuratan algoritma aplikasi yang dikembangkan. Makalah ini memaparkan tentang pembangunan kotak pembatas 3D sejajar sumbu dari beberapa citra. Lima buah citra objek ditangkap dari bagian atas dan sekeliling objek menggunakan lima buah kamera yang telah dikalibrasi sebelumnya. Kelima citra kemudian diproses untuk membangun kotak pembatas 3D berdasarkan parameter kamera intrinsik dan ekstrinsik. Hasil eksperimen menunjukkan bahwa metode pembangunan kotak pembatas 3D yang dikembangkan menghasilkan kotak pembatas yang cukup akurat untuk sepuluh objek produk makanan

KERANGKA KERJA PENENTUAN VOLUME TELUR MENGGUNAKAN COMPUTER VISION DAN ATURAN SIMPSON

Volume has a very important role in the production and processing of food products. Egg volume is associated with egg composition, nesting success, hatchling size, and nesting period. This paper develops a framework for egg volume measurement using computer vision and Simpson’s rule. The framework consists of image acquisition, preprocessing, image segmentation, image rotation, and volume measurement using Simpson’s rule. Simulation has been done using circle images and ellipse images with several diameters and major and minor axis respectively. The simulation result shows that volume measurement using Simpson’s rule is more accurate than volume measurement using sum of cylinder volume

Network performance evaluation of 6to4 tunneling

Several types of IPv6 transition mechanisms have been developed to facilitate the migration of IPv4 to the new protocol, IPv6. Although all transition mechanisms have the same objective, the process necessitates compliance with their respective capabilities. This paper focuses on the evaluation of the transition mechanisms namely 6to4 tunneling in terms of data transmission. The assessment is based upon experimental work that is conducted on a controlled environment. User-to-user network performance software is used to obtain the throughput, round trip time and tunneling overhead for TCP and UDP transmission protocol. The performance of TCP and UDP through 6to4 tunnel is then compared over the native IPv4 and IPv6 environment. As a result, the findings prove the ease of TCP data transmission via the tunnel compared to both native networks. In contrast, the UDP implementations show the slight difference for them. © 2012 IEEE

Network performance evaluation of 6to4 tunneling

Several types of IPv6 transition mechanisms have been developed to facilitate the migration of IPv4 to the new protocol, IPv6. Although all transition mechanisms have the same objective, the process necessitates compliance with their respective capabilities. This paper focuses on the evaluation of the transition mechanisms namely 6to4 tunneling in terms of data transmission. The assessment is based upon experimental work that is conducted on a controlled environment. User-to-user network performance software is used to obtain the throughput, round trip time and tunneling overhead for TCP and UDP transmission protocol. The performance of TCP and UDP through 6to4 tunnel is then compared over the native IPv4 and IPv6 environment. As a result, the findings prove the ease of TCP data transmission via the tunnel compared to both native networks. In contrast, the UDP implementations show the slight difference for them. © 2012 IEEE

Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method

Volume is one of important issues in the production and processing of food product. Traditionally, volume measurement can be performed using water displacement method based on Archimedes' principle. Water displacement method is inaccurate and considered as destructive method. Computer vision offers an accurate and nondestructive method in measuring volume of food product. This paper proposes algorithm for volume measurement of irregular shape food product using computer vision based on Monte Carlo method. Five images of object were acquired from five different views and then processed to obtain the silhouettes of object. From the silhouettes of object, Monte Carlo method was performed to approximate the volume of object. The simulation result shows that the algorithm produced high accuracy and precision for volume measurement