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Ghost Science M3

Developed by a team of professional engineers, we believe © Ghost - Paranormal Science Toolkit to be the most advanced paranormal research toolkit available

Developed by a team of professional engineers, we believe © Ghost - Paranormal Science Toolkit to be the most advanced paranormal research toolkit available

Ghost Science M3

by Michael Weber
Ghost Science M3
Ghost Science M3

What is it about?

Developed by a team of professional engineers, we believe © Ghost - Paranormal Science Toolkit to be the most advanced paranormal research toolkit available.

App Details

Version
7.0.5
Rating
(2070)
Size
222Mb
Genre
Last updated
December 19, 2024
Release date
March 29, 2018
More info

App Screenshots

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App Store Description

Developed by a team of professional engineers, we believe © Ghost - Paranormal Science Toolkit to be the most advanced paranormal research toolkit available.

© Ghost - Paranormal Science Toolkit is an extremely advanced, yet very easy to use, paranormal research toolkit. Don’t let the advanced feature set intimidate you. © Ghost - Paranormal Science Toolkit has been specifically engineered for both the professional and amateur paranormal researcher.

Disclaimer: This toolkit is designed to aid you, the paranormal researcher, in the identification of unexplained phenomena. However, as advanced as this toolkit is, it cannot prove, or disprove, the existence of the paranormal. As a result, this toolkit is provided for entertainment purposes only. We are not responsible for the use, misuse, or interpretation of this software. Please use responsibly.

© Ghost - Paranormal Science Toolkit provides a suite of advanced paranormal research tools that utilize the full spectrum of your device's powerful sensor array.

Audio Instrument
The Audio instrument utilizes your device’s acoustic to electric transducer to analyze complex audio signals.

Barometer Instrument
The Barometer instrument uses your device's barometric sensor array to detect extremely subtle changes in the environment's ambient barometric pressure.

Dashboard Instrument
The Dashboard instrument provides a centralized presentation of your device's sensor array, including the accelerometer, barometer, camera, gyroscope, magnetometer, and microphone.

EMF Instrument
The EMF instrument utilizes your device’s magnetometer to measure the ambient electromagnetic fields across the electromagnetic spectrum.

EVP Instrument
The EVP ITC instrument presents words, in both audio and visual format, based on an advanced and proprietary phonetically based computational algorithm.

Frequency Analyzer Instrument
The Frequency Analyzer instrument utilizes your device’s acoustic to electric transducer to analyze complex frequency signal harmonics.

Geoscope Instrument
The Geoscope instrument utilizes your device’s gyroscope and accelerometer to detect extremely subtle movements and vibrations.

Ghost Box Instrument
The Ghost Box instrument performs a sweep of live streaming audio channels.

LiDAR Instrument
*Available with iPhone devices equipped with the LiDAR sensor
The LiDAR instrument uses the iPhone's LiDAR sensor, driven by advanced CPU, GPU, and Neural Engine processing, to interpret the ambient environment outside of the visible electromagnetic spectrum. See in complete darkness.

Luxscope Instrument
The Luxscope instrument utilizes your device's light sensor array to measure illuminance and spectrographic color distribution.

Twilight Instrument
The Twilight instrument utilizes a combination of GPU driven rendering and hardware configuration to amplify the small amount of light captured by your device’s camera.

SLS Instrument
The SLS instrument uses an advanced vision machine learning model and neural engine processing to detect human figures in real-time.

SSEG Instrument
The SSEG instrument uses an advanced deep learning vision model and neural engine processing to semantically detect human figures in real-time.

Analytics Instrument
The Analytics instrument provides a mechanism for discovering meaningful patterns in the underlying sensor-driven data utilized by © Ghost - Paranormal Science Toolkit.

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