Showing posts with label Electronic Circuit. Show all posts
Showing posts with label Electronic Circuit. Show all posts
Keywords for electronic sensors Disregarded:
metal detector,BFO,Pluse induction,lambda of caffeine,Permittivity,EMR,Electromagnetic radiation,Arduino,spectroscopy ,Colorimeter,machine vision,emmission and absorbion,emmission spectrum, machine learning ,pattern recognition, Image Analaysis.Arduino,
Colorimeter Circuit
A colorimeter comprising a light source, an operational amplifier, a
reference photoconductive cell connected between the input and output of
the amplifier and a sample photoconductive cell connected to the input
of the amplifier. The amplifier provides an output signal which is a
function of the ratio of the amount of light falling on the reference
photoconductive cell to the amount of light falling on the sample
photoconductive cell. The output of the amplifier is connected to a
suitable measuring device such as a meter or recorder which provides a
measurement of the output signal.
Link to Journal:
Link to Journal:
Specific wavelengh colorimeter
A self contained, specific wavelength, single beam colorimeter for
direct spectrophotometric measurement of the concentration of a given
solute in a test sample. An electrical circuit employing a
photoconductive cell converts the optical output into a linear, directly
readable meter output. The colorimeter is simple to operate and is
adapted for use in zero gravity conditions. In a specific application,
the colorimeter is designed to analyze the concentration of iodine
(I.sub.2) in potable water carried aboard a space vehicle such as the
IVB stage of Skylab.
http://search.proquest.com/ante/docview/35170404/1414B053D333660CFC/10?accountid=10594#
http://search.proquest.com/ante/docview/35170404/1414B053D333660CFC/10?accountid=10594#
Simple, sensitive metal detector
METAL DETECTORS depend on detecting one of several effects that can be observed when a metal object influences the magnetic field surrounding a coil of wire carrying an alternating current.
Link to document:
Let us make a metal detector using a PC computer and a sound card
http://www.fmf.uni-lj.si/~ponikvar/PDFji/Phase%20angle%20measurements.pdf
Cell-Phone-Based Platform for Biomedical Device Development and Education Applications
in this paper we report the development of two attachments to a
commercial cell phone that transform the phone's integrated lens and
image sensor into a 350× microscope and visible-light spectrometer. The
microscope is capable of transmission and polarized microscopy modes and
is shown to have 1.5 micron resolution and a usable field-of-view of 150×150 with no image processing, and approximately 350×350 when post-processing is applied. The spectrometer has a 300 nm bandwidth with a limiting
spectral resolution of close to 5 nm. We show applications of the
devices to medically relevant problems. In the case of the microscope,
we image both stained and unstained blood-smears showing the ability to
acquire images of similar quality to commercial microscope platforms,
thus allowing diagnosis of clinical pathologies. With the spectrometer
we demonstrate acquisition of a white-light transmission spectrum
through diffuse tissue as well as the acquisition of a fluorescence
spectrum. We also envision the devices to have immediate relevance in
the educational field.
Link to Journal:
Link to Journal:
On the Signal Features Analysis of a Pulse Induction Metal Detector Prototype
This paper describes two algorithms proposed for signal analysis in a pulse induction metal detector prototype. The first algorithm is based on combining Principal Component Analysis and Continuous Wavelet Transformation in order to determine metallic object position approaches to the detector coils, and the second algorithm is based on signal filtering in order to characterize object size. These algorithms have three functions; first, extracting time intervals in which the detector response gives information about an object approaching; second, the object position related to detector coils; third, information related to object size. The techniques used are based on time-frequency domains for raw signals acquired at the amplifier output in the prototype.
Link to Journal:
Underwater Metal Detection Using Video Image Processing Techniques to Determine Location
A metal detector circuit was constructed and further development prepared it for underwater use.
Link to Journal:
A digital video camera was used to record the view of the bottom synchronously with the collection of the metal detector output.Digital video recorded the path and was subsequently captured using Nero Vision Express 2.0.0.22. It was then broken into frames using ACDSee6.0.Two programs were used for image processing: Drexel University’s program to mosaic the frames and Phil Torr’s program to find the optical flow. Images were correlated with thestored metal detector readings using elapsed time and graphed in Microsoft Excel to show the detection of metal and the visual image of themetal. Using the image processed frames and the metal detection readings the diver can then have a m
ap with detailed features and location of the metal detected.
Link to Journal:
PETALS: a visual interface for landmine detection
Post-conflict landmines have serious humanitarian repercus-sions: landmines cost lives, limbs and land. The primary method used to locate these buried devices relies on the inherently dangerous and difficult task of a human listening to audio feedback from a metal detector. Researchers have previously hypothesized that expert operators respond to these challenges by building mental patterns with metal detectors through the identification of a spatially distributed metallic field, whose 2-dimensional geometry is dependent on the type of buried object. This paper presents a novel interface Pattern Enhancement Tool for Assisting Landmine Sensing
blog for Arduino metal detector?
http://forum.arduino.cc//index.php?PHPSESSID=m84kdmhr0mcd8isuht3n0k9s73&topic=65712.30
very simple phase detector using arduino
Built this circuit designed by DC42 , but my coils where off and didnt get much of the effect next time maybe boost the current to the coils , I changed the code a little so ill post this here to keep safe for when I return to It , i also tried a different timming circuit
https://github.com/dc42/arduino/tree/master/MetalDetector
// Induction balance metal detector
https://github.com/dc42/arduino/tree/master/MetalDetector
Phase relations in resonant circuit
http://www.fmf.uni-lj.si/~ponikvar/PDFji/Phase%20angle%20measurements.pdf
code working in protoype v1
// Spectrometer_led10
// clear the LCD
void clearLCD() {
Serial.print("");
delay(1);
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