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.
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.
A metal detector circuit was constructed and further development prepared it for underwater use.
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.
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
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