The avocado is a one climacteric fruit that not ripe on the tree because it produces a maturation inhibitor that passes the fruit through the pedicel, the ripening occurs naturally during storage or to be induced as required. In post-harvest ripening stage is basically determined by experience of the farmer or buyer. In this word us developed portable equipment for determining ripeness is hass avocado using a low cost sensor color sensor TC3200 and LCD for display result. The prototype read of RGB color frequencies of the sensor and estimates the stage of ripeness in fourth different stages in post-harvest ripening.
The coefficient autocorrelation is a descriptor used in many applications with biospeckle technique. However the analysis of results is through of interpretation of graphs curves. In this paper us proposal a fast algorithm for the linearizing of autocorrelation coefficient; through of the average of slope between autocorrelation coefficients and thus the computing machine can take decisions for many application; for example: fruit classification, maturity detection, storage detection, seeds classification etc.
It developed a system capable of recognizing of regular geometric figures, the images are taken by the software automatically through a process of validating the presence of figure to the camera lens, the digitized image is compared with a database that contains previously images captured, to subsequently be recognized and finally identified using sonorous words referring to the name of the figure identified. The contribution of system set out is the fact that the acquisition of data is done in real time and using a spy smart glasses with usb interface offering an system equally optimal but much more economical. This tool may be useful as a possible application for visually impaired people can get information of surrounding environment.
This paper presents a simple method for manufacturing fiber tapered through elongation, by the combination of heating with a butane torch and controlled stretch. Reducing the diameter of the multimode fiber of 100 microns to 10 microns, the displacement of the fiber is performed through bipolar stepping motors with one driver L293B and one PIC16F628A microcontroller for controlling movement. The system allows control of the desired fiber diameter up to 10 microns; the results are seen in a microscope and a rule of separation 2.5μm micrometer to calculate the diameter of the fiber.
This paper develops and implements, can experimental method to characterize the process of splice optical fibers by fusion for determine the quality thereof. The procedure utilizes the Bragg diffraction law, allowing spectrally decomposed emitted light in the fusion splicing process. The experimental mounting used a diffraction grating to refract light, a video camera that allows capturing the image sequences during the complete process of fusion splicing, later and with the aid of the computational tool MATLAB is performed all the segmentation process, filtering, correlation and analysis of images obtained.
We developed an automated system in micro and optical fiber fusion, using stepper motors of 3.6 ° (1.8 ° Medium step)
with a threaded system for displacements in the order of microns, a LM016 LCD for User message management, a
PIC16F877A microcontroller to control the prototype. We also used internal modules: TMR0, EEPROM, PWM (pulse
width modulation) control using a pulse opto-cupped the discharge circuit high voltage (20 to 35 kilovolt transformer for
FLYBACK fusion) The USART (Universal Synchronous Asynchronous Receiver Transmitter) for serial interface with
the PC. The software platform developed under Visual Basic 6.0, which lets you manipulate the prototype from the PC.
The entire program is optimized for microcontroller interrupt, macro-functions and is written in MPLAB 7.31. The
prototype is now finished.
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