Usually, the scene is lighted by natural or artificial light sources, simulating the conditions for the vision of the human eye. The main difficulty of this kind of processing lies in finding and joining the common dots, coming from different images, and forming the object.Īmong the influencing conditions, it is worth remembering lighting sources.
Reconstruction – This kind of image processing starts from two or more images of the same object, taken from different points of view, so to generate a complex 3D surface of the object itself. Going back to the faces example: after having determined that a certain shape within the image is a face, an attempt tries then to determine if the face is known or that of a person not belonging to the set of known faces. Identification – This concerns a further sophistication of the previous processings, that allows to “identify” the presence of a specific instance of a form belonging to a known class. E.g.: this is the case of objects with a circular or rectangular shape, or characterized by closed outlines, or even areas of a certain colour, or that, given their shape, could be traced back to a certain known class, like a face of a part of it, such as the eyes or the nose. Recognition – Image processing has the objective to recognize the shapes belonging to certain classes. The following examination, made by an appointed operator, so to allow to determine what and who caused the break-in, and how it happened. This technology has been widely used in the integrated DVRs of the surveillance systems, that have one or more cameras framing sensible areas where one may want to verify if break-ins happen, and in that case one wants to prove the break-in itself, by recording the images for the whole duration of the event. Reading – Image processing to verify if modifications happened among different frames, in the area framed as a whole or in a single part. Let’s give then a first subdivision, generally speaking, about the possible objectives or problems that concern the artificial vision, ordered by complexity: The themes that we want to deal with require, in different forms, the elaboration and interpretation of the content of the images, so to extract from it the useful information to pilot the automatic and semiautomatic decision-making processes. Other applications that are widely spread can be found in firms processing or packaging food, and in the gathering of agricultural products, or in the automotive and electronic production.Īs with many of the projects that we showed you in the past, focused on Raspberry Pi, even the ones that we will present imply the integration of different disciplines and technologies.Ī vision system, in fact, made of many different integrated technologies, such as optics, electronics, computer science, communication systems and, why not, mechanics.Īs a start, let’s give a short overview of the scenario associated with the computerized vision. Currently, a variety of applications has been created, finding wide use in many industrial and service sectors.įor what regards reading barcodes, technology went from the laser scan of a simple sequence of black and white vertical bars, to the interpretation of those that are known as QR Codes (Quick Response Code) by means of a video camera. Once the dimensions and the problems connected to the theme had been understood, the researches oriented themselves towards more practical objectives, and that could allow technically feasible solutions to be thought of. Metropolis Multimedia.As always happens, from a certain point in history, even official science has started to deal with the subject, at first with the so-called “strong theses”, whose objective was to reproduce, to substitute, the capabilities that are typical of humans. Unlimited Drone Range v3 | Raspberry Pi Drone | DIYLIFEHACKER Raspberry Pi Projects Flying drone from computer - raspberry pi + naze32 How they make Raspberry Pi in the UK - Electronics Weekly visits Pencoed.
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