The paper tries to analyze the possibilities of classification of hemp fiber plant seeds in order to provide an image recognition sorting system that can estimate the quality of the fiber hemp seeds destined for human consumption. Systems that can optically grade cereal grains are already available in the agricultural industry. The automatic classification systems for seeds take in consideration the size, shape, color and texture in order to assess the quality of nutritional seeds.This work investigates the classification possibilities of image systems using photo images acquired by an RGB camera. The article presents the experimental stand and devices used for the image analysis of the fiber hemp seeds probes. The method for the selection of the representative pixels of the quality seeds is described and finally the results for the classification of the ratio of ripe seeds versus unripe seeds are presented in graphs. Conclusions are formulated and discussed.
The automatization process in all industrial and social fields requires large amounts of data processing. Data Acquisition and Control Solutions can be improved by collecting and processing data in real-time without human involvement through Automatic Identification or Auto ID. Auto-ID technology provides the means to track any object, anytime, anywhere by using low-cost smart tags, readers, and unique object-identification schemes. These technologies include: Electronic Product Code (EPC); Barcode (uniform product codes-UPC); Optical character recognition (OCR); Magnetic ink character recognition (MICR); Magnetic strip; Biometrics (such as retinal scans, fingerprints, etc); Voice recognition. Modern libraries must provide quality services quickly and efficiently. This requires automation and computerization of libraries specific activities. Auto ID allows automated identification, recording and management books, magazines, CD's, tapes, videos and DVDs. Until recently, bar code type indicators have great use in libraries, but lately have started to become inadequate in a number of increasingly large applications. The advantage is that bar codes can be purchased at extremely low prices, but their drawback is the limited capacity to store information, data having rescheduled. Radio Frequency Identification (RFID-Radio Frequency Identification) or proximity is the latest and most advanced method automatic data collection technology, gaining a wide acceptance as people understand and use this technology. With the advent of RFID technology, RFID has been introduced in the library. The free and efficient use of the newest resources of the information technology is a big step toward to the public free and rapid access to information and to the global documentation with high quality. 2. The RFID technology RFID is a no touch technology, which identifies an object or person automatically by using radio waves through a serial number or an Electronic Product Code (EPC). RFID can be www.intechopen.com
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