ADLINK PCI-9118/L Series XP

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ADLINK PCI-9118/L Series Driver

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ADLINK PCI-9118/L Series 64 BIT Driver

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ADLINK PCI-9118/L Series Driver

Computer vision can be used as an objective, consistent, quantitative, non-contact and non-destructive methods for evaluating and classifying foods quality during processing [5,6].

Image processing and analysis are recognized as being the core of computer vision [5,7]. Image processing involves a series of image operations that enhance ADLINK PCI-9118/L Series quality of ADLINK PCI-9118/L Series tedious human inspection tasks. Computer vision has proven successful for the objective, online measurement of several food products with applications ranging from routine inspection to the complex vision guided robotic control [8,9].

The objective of this research work is to apply computer vision technology into food quality monitoring and controlling. This involves specifically computer vision that will be used to detect the GRFS gelatinization process in real time.

The rest of this paper is outlined as follows. These two algorithms when combined were able to detect the gelatinization of the GRFS based on the monitored image sequences. The results obtained will be presented, thoroughly discussed and conclusion will be drawn. The arrangements of ADLINK PCI-9118/L Series equipments used are schematically shown in Figure 1.

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In this research work we use normal ADLINK PCI-9118/L Series from the laboratory as a source of the illumination to the machine vision system. This is to let the machine vision system working as a normal illumination condition, i. The glutinous rice flour is first diluted completely into the plain water and then poured into the cooking pot.

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The images from this camera have a resolution of x pixels. During the gelatinization process, a camera that is mounted above the cooker pot will Algorithms Development in the Gelatinization Process capture the gelatinization process image continuously. The captured images are sent to the computer and are then processed by the computer software in every 5 seconds for the image preprocessing, processing, feature extraction and making the decision for the gelatinization processing system.

To enable the vision system and the cooker works at ADLINK PCI-9118/L Series real time, the computer hardware was interfaced with the cooker using the data ADLINK PCI-9118/L Series card, i. The card was connected to the cooker via terminal board to supply the electrical signal with the strength of 5V to the solid-state-relay SSR in the cooker control box. If the GRFS is still not gelatinized and the data acquisition card has not received any information from the software, it will not give any electrical signal to the SSR.

This condition will let the cooker continue the gelatinization process. When the gelatinized GRFS reached this temperature, 0. Figure 3 GUI of image processing algorithm. All the images will be used for algorithms development, training and testing.

The Ulead Video ADLINK PCI-9118/L Series Version The captured image is saved in the computer hard disk PC: Intel Pentium 4 processor, 2. Upon completion, the individually stored images are subjected to further image processing procedures. In this work, twenty-four batches of the gelatinization of the GRFS were conducted and shown in Table 1 below.

Based on the results, we observed the overall processing time and the gelatinization of ADLINK PCI-9118/L Series GRFS occurred at a different time for a different batches. Therefore, it is impossible to control it using the time setting.

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A better alternative is to automate the process of detecting GRFS gelatinization using a computer vision application. Table 1 Image numbers and overall processing time.

M 16 min. B 12 min. N 17 min.


C 16 min. O 13 min. D 16 min. P 16 min.

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