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Intelligent object recognition system Exposure: highest accuracy rate of 100%

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Intelligent object recognition system Exposure: highest accuracy rate of 100%
Intelligent object recognition system Exposure: highest accuracy rate of 100%
According to the technology blog site SlashGear reported recently, Brigham Young University engineers developed a new algorithm, called "ECO the features" significantly improved the accuracy, in some cases the recognition accuracy of even reached 100%.
Without manual training, computer can accurately identify objects, this originally is false ideas may now have to realize. At present, the researchers already know how to teach the artificial intelligence intuitively recognize facial, certain objects and the more important features, as well as the different between them. By brigham young university engineers Dah - Jye Lee development of the new algorithm, making computer mastered the skills of how to recognize themselves, to avoid the manual intervention: not by the operating personnel to identify different objects (such as individuals and a tree) between the individual differences, but given a set of tools, computer let it recognize the difference between the object, and then improve the "skills" in practice. 
Dah - Jye Lee said, in theory, it is a process similar to the teacher to teach children to learn. In this study, Li Dajie using a load of various image sample set (he picked out the face samples, airplanes, cars and motorcycles, etc) of the computer, and the new algorithm mentioned above (known as "ECO the features"), and then let your computer you find object recognition important elements.
For example, the computer may find unique Angle between aircraft fuselage and wings, and then to identify the difference between planes and cars. Li Dajie's team found that the new algorithm in the recognition of four groups of data sets, each set of accuracy reached 100%.
In addition, although more difficult to identify a variety of different objects, but the ECO features algorithm can still keep a higher accuracy. Li Dajie algorithm on four species of fish, which can identify accuracy can reach 99.4%. Similar object recognition systems, in contrast, in the judgment when difference of the four species of fish the best accuracy can reach 98%. Therefore, in the same type of object recognition, ECO the features to win again.
Dah - Jye Lee team think, ECO the features in unmanned or human intensive situation could have many USES, such as tracking a habitat of invasive species, lock line some products for defects. In addition, this algorithm has huge potential applications in the Internet of things, in such an environment, can let the system monitoring in and out of the structure of the individuals, tracking user food left in the refrigerator, and even help drive vehicles in the smart city and so on. 

 

Pub Time : 2014-01-20 10:37:26 >> News list
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