Anthropomorphic robot for recognition of objects

Heated debates were taking place a few decades ago between the proponents of digital and analog methods in Information. Technology have resulted in unequivocal triumph of the former However, some serious technological problems confronting the world civilization on the threshold of the new millennium, such as Y2K and computer network vulnerability, probably spring from this one-sided approach. Dire consequences of problems of this kind can be alleviated through learning from the Nature Let us consider the natural equivalent of a computer, the brain. Human beings and primates have a powerful brain confined within comparatively small volume of a skull. Five organs of sense provide information from the outside world to the brain. Before being delivered to the brain, the gathered information is preprocessed by the organs using mostly analog methods. No -hackers- can get an access to this natural computer since the organs of sense ensure efficient security. The report is devoted to the long-term studies of vision mechanisms to build an automatic system for recognition of hand-written texts or identification of persons by their photographic images. My research began with comparison of known results of physiological and psychological studies of vision system with known facts from the physical theory of optical phenomena. As a result, some pattern recognition devices (robots) have been proposed, which, after performing anthropomorphic analog preprocessing of visualized object, sent the data to the computer to draw the generalized image of the object to be recognized. Most probably, the information received by other organs of senses (touch, smell, taste) can also be utilized when developing new recognition and control systems resembling live organisms effectively protected from outside interference Problem of optical pattern recognition (OPR) is sorting numerous images into several subsets. A certain generalized image is ascribed to each subject. For example, the letter "A", written in different fonts, to some generalized image of this letter. In this process one has to deprive it of individual attributes i.e. to narrow down its spatial spectrum. This result in a generalized object's image separation with informative fragments (IF) at places with sharp form's changing typical to many similar images. It is shown that in Nature such process can be realized by existing periodic defocusing of the crystalline lens, which leads to generalization of an image projected on the retina. Such process i.e. image defocusing can be used in technique for generalization real images in OPR systems. It was proposed the scheme of possible variant of such robot "drawing" the generalized images of real objects. The results of computer imitation by the robot of "drawing" generalized image, are presented. In report also will be shown an example of possible solving the reverse task: expanding the spatial spectrum of the object with the poor own spectrum for alleviation the problem of its detection (for example, optical feature extractions for target identification). Such procedure according to Shenon's Theory cannot improve the real object's information, but permits alleviate detection of such object. An example of one of such problem's solve, is presented.