A frequency-based detection system for precise identification and assessment of substance presence and severity

Abstract

A frequency-based detection system for accurately identifying and assessing the presence and severity of substances, comprises an input mechanism for receiving sample of target substance or images / videos thereof, and a frequency detector to ascertain each substance's inherent frequency. The system integrates a display device showing live videos or images to a volunteer, while an electrode apparatus held by the volunteer. The electrode apparatus transmits an electromagnetic signal corresponding to the volunteer's observant frequency, influenced by the engagement with the displayed content. A processing unit, in communication with the frequency detector, display device, and electrode apparatus, receives data on the inherent and observant frequencies. The processing unit compares these frequencies to determine an alignment metric. The alignment metric is used to deduce the presence and severity of substances within the environment shown in the live feed or images, based on the degree of alignment between the observant and inherent frequencies.

Description

A FREQUENCY-BASED DETECTION SYSTEM FOR PRECISE IDENTIFICATION AND ASSESSMENT OF SUBSTANCE PRESENCE AND SEVERITYFIEED OF THE INVENTION

[0001] Embodiments of the present invention generally relate to the frequency-based substance detection system, and more particularly to a frequency-based substance detection system of living viruses or bacteria, chemical materials, and elements present in the periodic table and their severity using artificial intelligence techniques.BACKGROUND OF THE INVENTION

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of it being mentioned in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.

[0003] The procedures and practices of medicine have been profoundly impacted by the increasing use of technology in this sector. Medicine has undergone numerous changes as a result of this integration. The increasingly prevalent usage of wireless networks in hospitals and other biomedical facilities is one example of a technology having this kind of influence. Numerous diseases, such as diabetes, heart disease, cancer, etc., affect a large number of people globally and claim the lives of tens of millions of people annually. Regular monitoring can help prevent or control certain disorders, improving the prognosis for patients. For instance, because diabetes is a long-term blood glucose level issue, blood glucose and diabetes are closely associated conditions. As a result, continuous blood glucose monitoring is essential for the management of the disorder.

[0004] There are many different tests available in the modern world to identify germs, viruses, chemicals, and radioactive elements in the periodic table. Unfortunately, these tests frequently don't fulfill the significant demand since they are too expensive and not widely available. As a result, testing rules have had to be established in many countries. Even while these policies require the inspection of both people and products, they nonetheless struggle to guarantee consistent detection precision.

[0005] The Frequency-Based Substance Detection System is a revolutionary technology that has emerged at the intersection of physics, biology, and engineering. This innovative approachleverages the principles of frequency analysis and wave propagation to detect and identify a wide range of substances, including viruses, bacteria, chemical compounds, and elements from the periodic table. The development of this system represents a significant leap forward in non- invasive and rapid detection methods, with applications spanning healthcare, environmental monitoring, and beyond.

[0006] At the core of the Frequency-Based Substance Detection System is the concept of frequency analysis, which involves studying the unique responses of substances to specific frequencies. The system relies on the propagation of waves through a medium, typically the human body in the context of health monitoring. By transmitting carefully crafted waveforms, the system can elicit responses from substances present within the body, creating a basis for detection and identification. Various implementations of the Frequency-Based Substance Detection System utilize electromagnetic waves (such as radiofrequency) or acoustic waves (such as ultrasound) to interact with and probe the internal composition of the human body.

[0007] Currently, there is no system available that provides frequency-based substance monitoring along with the measurement of the severity of the substance present using artificial intelligence. Hence, there exists a need for a system that measures the presence of viruses, bacteria, and chemical substances in patients through non-invasive techniques. This circumstance emphasizes how urgently we need an accurate and quick testing approach that can identify a wide range of chemicals found in the human body.

[0008] “Photobiomodulation is characterized by its ability to induce photo-biological processes in cells. The relationship between these biological responses and the radiation wavelength suggests the existence of a photo-acceptor. It has been found that there are photo-receptors at the molecular- cellular level which, when triggered, activate a number of biological reactions: DNA / RNA synthesis, increased cAMP levels, protein and collagen synthesis, and cellular proliferation [7], Exact action spectra are needed for determination of photo- acceptors as well as for further investigations into cellular mechanisms of light therapy” (Azeemi, Raza, Yasinzai, 2009). This research study correlates to the frequency detector since the receptors will receive the information through looking at the picture. This will provide biological reasoning in order to understand the concept of wavelength testing. The frequency detector will catch the signals from the photoreceptors (In the cells) on the molecular level. When the wavelength of the picture matches the wavelength of the substance (1,2 and 3) it will increase the results of the frequency detector (70 Hz+). If the signal from the picture does not match the wavelength of the substance (1,2 and 3) then it will be seen that the results will be in between 50 to 55 Hz.SUMMARY OF THE INVENTION

[0009] Embodiments of the present invention disclose a frequency-based detection system for precise identification and assessment of substance presence and severity. The system comprises an input mechanism configured to receive a sample of one or more target substances in a form of raw material or solution (which is saline water containing the frequency of the substance) or visual representations thereof in the form of images or videos; a frequency detector, configured to ascertain an inherent frequency of each target substance or from the visual representations; a display device configured to show live videos, or images to a volunteer; an electrode apparatus held by the volunteer configured to transmit electromagnetic signal that corresponds to an observant frequency of the volunteer, said observant frequency being influenced by the volunteer’ s focused engagement with the live videos or images presented on the display device; and a processing unit in communication with the frequency detector, the display device, and the electrode apparatus. Herein, the processing unit configured to receive data indicative of the inherent frequency of the one or more target substances from the frequency detector; acquires data indicative of the observant frequency from the electrode apparatus, while the volunteer is looking at the live videos or images; and compares the inherent frequency with the observant frequency; determine an alignment metric between the observant frequency and the inherent frequency, wherein a predetermined degree of alignment is indicative of a disharmony condition; and deduce the presence and potential severity of the one or more target substances within an environment depicted in the live video feed or still photograph based on the determined alignment metric.

[0010] In accordance with an embodiment of the present invention, the one or more target substances have a known frequency signature and a pre-stored frequency within the detector. Also, one or more target substances are selected from, but not limited to, viruses, bacteria, chemical substances, radioactive elements within the periodic table, or a combination thereof. In accordance with an embodiment of the present invention, the system further comprises a digital repository configured to store multiple signal frequencies corresponding to various organs and diseases, thereby facilitating the selection of treatment modalities based on the specific inherent frequency associated with each condition.[Oil] In accordance with an embodiment of the present invention, the display device is connected to cameras, drones, and satellite imaging to receive live video feeds from a remote location via transmission technologies.

[0012] In accordance with an embodiment of the present invention, the electrode apparatus includes a plurality of electrodes configured to establish a circuit through the volunteer's body, thereby enhancing the precision of the observant frequency data.

[0013] In accordance with an embodiment of the present invention, the volunteer is a healthy volunteer, and the volunteer’s electromagnetic oscillations are used to detect areas of disharmony in the video, or images.

[0014] In accordance with an embodiment of the present invention, the processing unit includes an integrated spectrum analyzer configured to perform the spectrum analysis on the inherent frequency received from the sample and the observant frequency received from the volunteer, enabling the determination of frequency alignment.

[0015] In accordance with an embodiment of the present invention, the processing unit further comprises an artificial intelligence module configured to automatically analyze and interpret the comparative analysis between the inherent and observant frequencies.

[0016] In accordance with an embodiment of the present invention, the artificial intelligence module utilizes machine learning algorithms to improve the system’s accuracy over time based on accumulated test data.

[0017] In accordance with an embodiment of the present invention, the frequency detector is additionally configured to calibrate the inherent frequency of the substances based on a reference database of known substance frequencies.

[0018] In accordance with an embodiment of the present invention, the system further comprises an output device configured to display the alignment metric between the observant and inherent frequencies, wherein the output device includes a gauge with a scale indicating normal and abnormal frequency alignment ranges.

[0019] In accordance with an embodiment of the present invention, the alignment metric determined by the processing unit, as indicated on the output device, reaches or exceeds 60Hz, signifying the presence of the one or more target substances within the environment depicted in the live video feed or images.

[0020] In accordance with an embodiment of the present invention, the processing unit is further configured to record the results of each testing procedure, creating a log that includes the date, time, substance identification, and severity assessment.

[0021] In accordance with an embodiment of the present invention, the comparative analysis to determine the alignment metric is performed in real-time, allowing for immediate determination of substance presence and potential severity during the volunteer’s engagement with the images, or video.

[0022] In accordance with an embodiment of the present invention, the system is configured to operate in a variety of environments, including laboratory settings, field operations, and remote locations facilitated by portable power supply options.

[0023] According to another aspect of the present invention, the system is further configured to analyze images of an individual for life status determination and cause of death identification. Herein, the processing unit is configured to acquire data indicative of the observant frequency from the electrode apparatus, while the volunteer is looking at the live videos or images with the display device showing images of the deceased individual; determine the observant frequency based on the acquired data from the volunteer and identify a status of the individual as: deceased, if the observant frequency is below 20 Hz; OR death due to a disease affecting that organ, if the observant frequency is above 60 Hz, localized in a specific organ; OR death due to poisoning, if the observant frequency is above 60 Hz across all organs.BRIEF DESCRIPTION OF THE DRAWINGS

[0024] So that how the above-recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, the invention may admit to other equally effective embodiments. These and other features, benefits, and advantages of the present invention will become apparent by reference to the following text figure, with like reference numbers referring to like structures across the views, wherein:

[0025] Fig. 1 illustrates a frequency-based detection system for precise identification and assessment of substance presence and severity, in accordance with an embodiment of the present invention;

[0026] Figs. 2A-2C illustrate an information flow of an exemplary implementation of the system of Fig. 1, in accordance with an embodiment of the present invention;DETAILED DESCRIPTION OF THE DRAWINGS

[0027] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and is not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed. Still, on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense, (i.e., meaning must). Further, the words "a" or "an" mean "at least one” and the word “plurality” means “one or more” unless otherwise mentioned. Furthermore, the terminology and phraseology used herein are solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed after that, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles, and the like is included in the specification solely to provide a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.

[0028] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase “comprising”, it is understood that we also contemplate the same composition, element, or group of elements with transitional phrases “consisting of’, “consisting”, “selected from the group of consisting of, “including”, or “is” preceding the recitation of the composition, element or group of elements and vice versa.

[0029] The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough andcomplete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.

[0030] In the accompanying drawings, Figure 1 illustrates a frequency-based detection system 100 for the precise identification and assessment of substance presence and severity. As shown in Figure 1, the system 100 includes an input mechanism, a frequency detector 104, a display device 112, an electrode apparatus 106, and a processing unit 110, each playing a crucial role in the functionality of the invention.

[0031] The input mechanism is configured to receive a sample of one or more target substances contained in an input cup 102, or as visual representations thereof in the form of images or videos. The input cup 102 is a critical component designed to hold a sample of one or more target substances for analysis. Herein, the one or more target substances, as identified in the system 100, encompass a broad range of entities, including but not limited to viruses, bacteria, chemical substances, and radioactive elements within the periodic table. Each of these target substances possesses a unique inherent frequency signature, which the system 100 is designed to detect and analyze. The versatility of the input cup 102 allows it to accommodate these substances in various forms, such as raw materials or solutions. In cases where the substances are in solution form, the solution is prepared with a known frequency signature that corresponds to the specific substance being analyzed. The system 100 also has the capability to work with pre-stored frequencies within the detector, allowing for a rapid and efficient analysis process.

[0032] In that sense, the input cup 102 is constructed from materials that are inert to the substances it holds and is engineered to ensure no interference with the frequency analysis. Its design can accommodate a variety of substance forms, from raw materials to solutions. The cup is equipped with a secure sealing mechanism to prevent contamination and preserve the integrity of the sample. The interior of the cup may be coated or treated to maintain the stability of the sample during analysis. As an integral part of the system 100, the input cup 102 is positioned in a way that facilitates easy insertion and removal of samples, while ensuring a reliable connection with the frequency detector 104 for accurate frequency transmission and detection.

[0033] Further, the frequency detector 104 serves as the primary sensor for determining the inherent frequency of each target substance within the input cup 102. This detector is equippedwith advanced frequency sensing technology capable of detecting a wide range of frequencies with high precision. The detector's design ensures minimal noise interference and maximum sensitivity to the frequencies emitted by the target substances. It is directly connected to the input cup 102, allowing for immediate and accurate frequency readings as soon as a sample is placed within the cup. The frequency detector 104 may incorporate various types of sensors, including, but not limited to, electromagnetic, acoustic, or piezoelectric sensors, depending on the nature of the substances being analyzed. In response to potential evasion tactics, where an individual might attempt to circumvent detection by employing a material's frequency in its inverse form — thus canceling out the identifiable signal — our system 100 is innovatively designed with dual detectors, designated as A and Ai. Detector A is tasked with identifying the material's actual frequency, akin to a direct match, thereby recognizing substances based on their inherent vibrational signatures, such as marijuana, certain drugs, or unauthorized radioactive materials. Conversely, detector Ai is engineered to detect the inverse frequency of the target material, a sophisticated countermeasure designed to thwart any attempts at obscuring the presence of the material by utilizing its inverse frequency to neutralize detection. This dual-detection approach, testing for both A (the actual frequency) and Ai (the inverse frequency), significantly enhances the system's robustness, ensuring the accurate identification of substances even when evasion techniques are employed. This comprehensive method allows for a more reliable detection process, safeguarding against false negatives and ensuring the system's effectiveness in identifying a broad spectrum of materials under various circumstances.

[0034] Furthermore, the display device 112 in the system 100 serves as an interactive interface for the volunteer 108, crucial for facilitating the observational aspect of the detection process. This device is often a high-resolution screen, capable of displaying live videos or images with exceptional clarity and precision. To accommodate the varied sources of visual content, the display device 112 is designed to be versatile, supporting connections to external cameras, drones, and satellite imaging 114. This feature allows for the real-time reception and display of live video feeds from remote locations, significantly enhancing the system’s 100 applicability in diverse scenarios.

[0035] Common types of display devices 112 used in such systems include, but are not limited to, LED, LCD, and OLED screens, known for their high-quality image reproduction and energy efficiency. These devices are user-friendly, featuring easy navigation and an intuitive selection interface for the content to be displayed. The ergonomics of the display device 112 are thoughtfully considered, ensuring that its positioning is optimized for comfortable and focused viewing by the volunteer 108. Some display devices 112 may also incorporate touch-screen capabilities, offering an interactive experience and facilitating more engaging and effective interaction with the system100. The combination of high-resolution display technology with advanced connectivity options makes the display device 112 a pivotal component in the system 100, directly influencing the volunteer’s 108 observant frequency and, by extension, the effectiveness of the detection process.

[0036] In addition, the electrode apparatus 106, a pivotal component of the frequency-based detection system 100, is meticulously engineered to capture and transmit the electromagnetic signals that correspond to the volunteer’s 108 observant frequency. This apparatus is comprised of multiple electrodes, each designed with ergonomics in mind to ensure a comfortable and secure fit. The electrodes can either be held in the volunteer’s 108 hands or attached to their body at specific points, which are determined based on the requirement to capture precise and clear signal readings.

[0037] The materials used for the electrodes are carefully selected to ensure biocompatibility, minimizing any risk of skin irritation or allergic reactions, especially during prolonged periods of use. This consideration is crucial as it maintains the volunteers’ 108 comforts and safeguards their well-being while they interact with the system 100. The electrodes are typically made from conductive materials such as silver or gold, known for their excellent conductivity and low resistance, thereby facilitating the efficient transmission of electromagnetic signals. In recognition of the diversity in organ frequencies and their implications for diagnosing and treating various diseases, the system 100 has been advanced to capture and digitally store multiple signal frequencies. This enhancement allows for the precise selection of treatment modalities based on the specific frequency associated with each organ or disease. For instance, acknowledging the distinct frequencies characteristic of electroencephalograms (EEGs) and electrocardiograms (ECGs), the system 100 catalogs these and other critical signal frequencies in a comprehensive digital repository. This capability ensures tailored treatment approaches by matching the resonant frequency of the therapeutic intervention with the inherent frequency of the target organ or condition.

[0038] In addition to ergonomic design and biocompatible materials, the electrode apparatus 106 includes a flexible and durable cable system 100 that connects it to the processing unit 110. This connection is critical for the uninterrupted transmission of the electromagnetic signals from the volunteer 108 to the processing unit 110. The cable must be both flexible enough to allow the volunteer 108 to move freely and durable enough to withstand regular use without degradation in performance.

[0039] The functionality of the electrode apparatus 106 is further enhanced by its ability to establish a circuit through the volunteer’s 108 body. This feature enhances the precision of theobservant frequency data captured by the apparatus. By creating a circuit, the apparatus can more accurately detect the volunteer’s 108 electromagnetic oscillations, which are then used by the system 100 for comparative analysis against the inherent frequency of the target substances.

[0040] Moreover, at the heart of the system, 100 lies the processing unit 110, a sophisticated assembly of hardware and software designed to process and analyze the data received from the frequency detector 104 and the electrode apparatus 106. The processing unit 110 comprises computing capabilities such as a memory unit 1102 configured to store machine-readable instructions. The machine -readable instructions may be loaded into the memory unit 1102 from a non-transitory machine -readable medium, such as CD-ROMs, DVD-ROMs, and Flash Drives. Alternately, the machine-readable instructions may be loaded in the form of a computer software program into the memory unit 1102. The memory unit 1102, in that manner, may be selected from a group comprising EPROM, EEPROM, and Flash memory. The processing module also includes a processor 1104 operably connected with the memory unit 1102.

[0041] The processing unit 110 may further include a spectrum analyzer 1106. The spectrum analyzer 1106, an integral component within the processing unit 110, serves as a fundamental instrument in the precise identification and assessment of substance presence and severity. This sophisticated electronic device functions as a critical analytical tool, allowing the system 100 to examine electromagnetic frequencies with exceptional precision.

[0042] There exist various categories of spectrum analyzers 1106, with the selection contingent upon specific application demands. Noteworthy classifications encompass swept-tuned, real-time, and vector spectrum analyzers 1106. Swept-tuned analyzers are aptly suited for the measurement of continuous waveforms, whereas real-time analyzers excel in capturing transient signals instantly. Vector spectrum analyzers 1106 provide both magnitude and phase data, rendering them ideal for gaining a comprehensive perspective of the frequency domain.

[0043] Within the context of this invention, the spectrum analyzer 1106 undertakes the pivotal role of scrutinizing two distinct sets of frequencies: the inherent frequency characterizing target substances within the input cup 102 and the observant frequency transmitted by the volunteer 108 through the electrode apparatus 106. By effecting a comparative analysis and alignment of these frequencies, the spectrum analyzer 1106 empowers the processing unit 110 to ascertain the presence and potential severity of target substances. To augment the system's detection capabilities, it now incorporates an advanced comparative analysis framework designed to interpret data from images and videos alongside traditional raw material samples. This framework operates on the principle that each form of data — whether a raw material, its frequency, or a visualrepresentation thereof — contains unique frequency information. Accordingly, the system is equipped to process data in three distinct formats: 1) the physical raw material itself, 2) the digitally captured frequency of the raw material, and 3) visual representations of the raw material, such as pictures or videos. This tripartite approach enables the system to perform nuanced comparative analysis, identifying resonance (when Fl equals F2) between different data forms to ascertain the presence of higher frequency materials. For example, an image of a substance like marijuana can be analyzed against stored frequencies of the substance in various forms to detect contact or proximity to marijuana in individuals or luggage.

[0044] Moreover, the processing unit 110 may implement artificial intelligence and deep learningbased technologies for data analysis, collating data, and presenting data in real-time. For this, the processing unit 110 may incorporate an artificial intelligence module designed to automate the intricate task of analyzing and interpreting the comparative data obtained from the inherent frequencies of the target substances and the observant frequencies recorded by the volunteer 108. This module serves as a computational framework that enhances the system’s 100 efficiency by streamlining the analysis process. Furthermore, it employs machine learning algorithms, enabling the system 100 to continually refine its accuracy over time through the accumulation of test data. This iterative learning mechanism empowers the system 100 to adapt and improve its ability to discern the presence and potential severity of target substances within the depicted environment, ultimately contributing to the system’s 100 overall precision and reliability.

[0045] In accordance with an embodiment of the present invention, the system 100 further comprises an output device 116, designed to provide users with a visual representation of the alignment metric between the observant and inherent frequencies. The primary function of this output device 116 is to offer a clear and intuitive display of the degree of alignment or disparity between the frequencies under scrutiny.

[0046] In its envisioned form, the output device 116 is equipped with a gauge, a fundamental component of the visual representation. This gauge features a scale that delineates distinct ranges, effectively dividing the spectrum of frequency alignment into different categories. The scale serves as an indicator of the degree to which the observant frequency aligns with the inherent frequency, facilitating a quick and straightforward assessment of the results.

[0047] The scale on the output device 116 is strategically calibrated to include two prominent regions: 'normal' and 'abnormal' frequency alignment ranges. These regions serve as reference points for users, allowing them to assess whether the observed frequencies fall within the expected and acceptable parameters or deviate significantly from the norm.

[0048] Within the 'normal' range, the gauge indicates that the observant frequency closely aligns with the inherent frequency, suggesting a high degree of correspondence. For example, in practical applications, the 60Hz frequency, often associated with standard power sources, can serve as an exemplary figure within this 'normal' range. This alignment is indicative of a situation where the system 100 detects minimal to no presence of target substances, thereby signifying a 'clean' or 'normal' environment.

[0049] Conversely, the 'abnormal' range on the scale signifies a significant deviation between the observant and inherent frequencies. When the gauge needle points to this region, it serves as a visual alert that the system 100 has detected a noteworthy misalignment, indicating the potential presence of target substances that deviate from the expected frequency signature. This 'abnormal' alignment can be indicative of the severity or concentration of such substances within the analyzed sample.

[0050] It will be understood to a skilled addressee that the 'normal' frequency alignment range corresponds to a predefined alignment threshold, and the 'abnormal' frequency alignment range indicates a deviation beyond the predefined threshold. This aligns with the gauge's purpose, where it provides a clear demarcation between normal and abnormal alignment by leveraging the predefined threshold.

[0051] The output device 116, by virtue of its gauge and scale design, offers a rapid and comprehensible means for users to interpret the frequency alignment metric, with the 60Hz frequency serving as an exemplary figure within the 'normal' range. This visual feedback empowers users to make informed decisions based on the alignment assessment, whether it involves taking further action, conducting additional tests, or simply acknowledging the absence of anomalies.

[0052] It is important to note that while the description provided here outlines the envisioned configuration of the output device 116, variations in its design, such as the specific scale divisions or additional visual elements, may be implemented based on user preferences or specific application requirements. Nonetheless, the core functionality of the output device 116 remains consistent, serving as an invaluable tool for users to gauge the alignment between observant and inherent frequencies, thereby enhancing the system’s 100 utility in substance detection and assessment.

[0053] The invention works in the following manner:

[0054] Figs. 2A-2C illustrate an information flow of an exemplary implementation of the system 100 of Fig. 1, in accordance with an embodiment of the present invention. As shown in Figure 2A, the method begins with the preparation of a sample containing one or more target substances, which are placed in the input cup 102 of the system 100. This input cup 102, designed to hold substances like viruses, bacteria, chemical substances, and radioactive elements, ensures accurate frequency analysis by being inert to these substances. The frequency detector 104, connected to the input cup 102, then initiates the detection process. It identifies the inherent frequency of each target substance within the cup. This inherent frequency, a unique signature for each substance, is crucial for the subsequent comparison process.

[0055] Simultaneously, a volunteer 108 is engaged to interact with the system 100, focusing on the live videos or images displayed on the display device 112. In accordance with an embodiment of the present invention, a healthy volunteer 108 is selected. The healthy volunteer 108 may be a person who agrees to participate in a clinical trial that is himself / herself in good health. The volunteer 108 is not a carrier of any acute or chronic disease and is not on heavy medication. This allows the volunteer 108 to be a fair participant in the clinical detection process.

[0056] This engagement is critical as it leads to the generation of an observant frequency, reflective of the volunteer’s 108 focused attention and emotional response to the displayed content. In an exemplary scenario, the electrode apparatus 106 may be held by the volunteer 108 and is configured to interact with the volunteer’s 108 body in a unique manner. One or more electrodes of the electrode apparatus 106 may be placed on the skin of the volunteer’s 108 hand, and are linked to an external device. This external device emits a gentle electromagnetic impulse that interacts with the volunteer’s 108 body. As a result of this interaction, the volunteer’s 108 body generates a specific frequency, which is a response to the stimuli they are viewing on the display device 112. The nature of these visuals and their source (e.g., cameras, drones, satellite imagery 114) significantly influence the volunteer’s 108 engagement. This frequency, termed the 'observant frequency', is essentially a manifestation of the volunteer’s 108 own vibrations or electromagnetic oscillations. This frequency is influenced by the volunteer’s 108 cognitive and emotional responses to the visuals.

[0057] These vibrations or oscillations are then captured by the electrodes and transmitted to the processing unit 110 of the detection system 100. The processing unit 110, equipped with advanced analysis capabilities including the spectrum analyzer 1106 (explained in figure 1), uses this observant frequency data in its comparative analysis. It is noteworthy that the volunteer’s 108 electromagnetic oscillations are utilized by the system 100 to detect areas of disharmony in the environment depicted in the live video feed or still photograph.

[0058] The gentle impulse sent to the volunteer’s 108 body by the external device is key to this process. It ensures that the volunteer’s 108 own vibrations are accurately captured and transmitted via the electrodes. This method enables the system 100 to leverage the volunteer’s 108 physiological responses to the visual stimuli for effective substance detection and assessment.

[0059] So, both the inherent frequency from the frequency detector 104 and the observant frequency from the electrode apparatus 106 are transmitted to the processing unit 110. The processing unit 110, equipped with a spectrum analyzer 1106 and artificial intelligence capabilities, receives and processes these data sets.

[0060] Now as shown in Figure 2B-2C, upon receiving these frequencies, the processing unit 110 employs advanced algorithms to execute a comparative analysis. This analysis is not merely a simple comparison but a sophisticated process that seeks to identify the degree of correlation or deviation between the two frequencies. The outcome of this comparison is quantified in the form of an alignment metric.

[0061] Herein, the alignment metric quantifies the degree of equivalence between the observant and inherent frequencies. It is a measurable value that provides a clear indication of how closely the volunteer’s 108 frequency aligns with the frequency of the target substance. The metric is calculated based on a range of factors, including the amplitude, phase, and waveform characteristics of the frequencies involved.

[0062] A key aspect of the alignment metric is its ability to indicate a disharmony condition. A disharmony condition arises when there is a significant deviation between the observant and inherent frequencies. This condition is indicative of an anomaly or irregularity in the environment or the subject being analyzed. For example, a high degree of alignment suggests a normal or baseline condition, implying the absence or minimal presence of the target substances. Conversely, a significant deviation from this alignment may signal the presence of target substances, potentially indicating their type and severity.

[0063] In practical terms, the alignment metric serves as a diagnostic tool within the system 100. It enables the system 100 to detect the presence of target substances with a high degree of accuracy and to assess the potential severity of these substances in the given environment. This metric, therefore, is not just a numerical value but a critical indicator of the system’s 100 diagnostic capabilities, directly influencing decision-making processes and subsequent actions.

[0064] After the alignment metric is determined by the processing unit 110, the system 100 deduces the presence and potential severity of the target substances. This step is critically enhancedby the Al module, which interprets the frequency comparison data within the context of specific frequency ranges. As indicated in the disclosure document, this system 100 can detect substances by comparing the stored frequency of a sample in the input cup 102 with the frequency emanating from the volunteer 108. For example: As shown in Figure 2B, when the alignment metric shows a frequency deviation less than 60Hz, it suggests that the environment being analyzed (through the volunteer’s 108 gaze at a picture or live video) is in a 'normal' condition, implying minimal or no presence of the target substances. Conversely, Figure 2C shows a deviation exceeding 60Hz indicates an 'abnormal' condition, which is crucial for identifying the presence of substances in a specific location. For instance, if a drone or satellite broadcasts live videos of a landscape, and the alignment metric surpasses 60Hz, the system 100 concludes that the substances are present in that particular location being broadcasted.

[0065] The output device 116 of the system 100 plays a significant role in visually presenting these findings. Equipped with a gauge and a scale, the output device 116 effectively displays the alignment metric, facilitating an intuitive understanding of the detection results. This visualization is vital for users to quickly interpret whether the substances are present in the environment being examined. The scale on the gauge is designed to clearly demarcate 'normal' and 'abnormal' ranges of frequency alignment, directly correlating to the absence or presence of substances in the specific locations under surveillance.

[0066] In accordance with an embodiment of the present invention, the processing unit 110 is capable of recording these results in real-time, which includes both the identification of the substances and the assessment of their severity. This feature of real-time analysis ensures that the detection and assessment of substances, as well as the determination of their specific locations, are conducted promptly and accurately.

[0067] Moreover, the adaptability and improvement of the system 100 over time are crucial aspects. Through its Al module, the system 100 employs machine learning algorithms to refine its accuracy based on accumulated test data. This continuous learning and adaptation are particularly important in enhancing the system’s 100 ability to accurately detect the presence of substances in various locations, ensuring the reliability and effectiveness of the system 100 in diverse environmental conditions.

[0068] In essence, the system’s 100 capability to deduce substance presence, visually display results, record data in real-time, and adapt through machine learning, combined with its ability to pinpoint the location of target substances, makes it an advanced and comprehensive solution for substance detection and severity assessment.

[0069] According to another aspect of the present invention, This specialized application of the frequency-based detection system 100, it is configured to analyze images of an individual for determining life status and identifying the cause of death. This advanced functionality is centered around the processing unit’s 110 capability to acquire and analyze data indicative of the observant frequency, which is generated by a volunteer 108 while viewing images of the deceased individual.

[0070] When the volunteer 108 is exposed to images displayed on the device, be they still photographs or live video feeds, their focused engagement generates an observant frequency that is captured by the electrode apparatus 106. This observant frequency is key to the subsequent analysis. The processing unit 110 assesses this frequency to determine the life status and potential cause of death of the individual in the images.

[0071] The system 100 identifies the status of the individual based on specific observant frequency thresholds. For example, if the observant frequency recorded is below 20 Hz, the system 100 determines the individual to be deceased. This low-frequency threshold is indicative of the absence of life signals typically present in living individuals.

[0072] Moreover, the system 100 is capable of discerning the cause of death by analyzing the observant frequency in greater detail. If the observant frequency is above 60 Hz and is localized in a specific organ, the system 100 infers that the death was due to a disease affecting that organ. This conclusion is based on the understanding that certain diseases impact the electromagnetic signature of specific organs, which is reflected in the observant frequency.

[0073] In cases where the observant frequency is uniformly elevated above 60 Hz across all organs, the system 100 identifies poisoning as the likely cause of death. This higher frequency range across multiple organs suggests a system lOOic impact typical of poisoning scenarios.

[0074] This embodiment of the system 100 demonstrates its potential utility in forensic science and medical diagnostics, offering a novel approach to determining life status and identifying causes of death. By leveraging observant frequency analysis, the system 100 provides a non- invasive, rapid, and potentially accurate means of analyzing images for critical insights into the life status and cause of death of individuals.EXPERIMENT:

[0081] The experiment started with the volunteers getting tested without seeing a picture. The test included tests for the brain, thyroid gland, lungs, heart, stomach, liver, and kidneys. The volunteers did not have a picture to look at during this test. They were just tested to see if there are anymedical problems that the system can detect within the patient. This is done to see whether the volunteer is fully healthy and able to participate in the experiment. These are considered the control variables that are used to compare results after showing them the image. Making sure the volunteer is healthy is important because someone who is affected in a certain organ (Brain, thyroid gland, lungs, heart, stomach, liver, and kidneys) will show correct results when it comes to the detection of substances 1, 2, & 3. In addition, the room is maintained at a temperature of 24°C and is left undisturbed by anyone. This will make sure the volunteer is focusing only on the picture.

[0082] The volunteers are then shown a picture of a patient that has substance 1, 2, or 3 in the picture and are tested again. They are tested through their brain, thyroid gland, lungs, heart, stomach, liver, and kidneys. The point of the test is to show whether the picture that contains that substance (1, 2, & 3) could change the results. The table 1 shows the results of the experiment. Due to Patent specification’s rules for drawings, we are not providing the actual images (colored) shown to the volunteers, however, the images shown to the volunteer:Image 1: Covid 19 patientImage 2: MarijuanaImage 3: Periodic Table element Uranium - 92.RESULTS / ANALYSIS:

[0083] The average result of the first test (Without image) where the patient was tested without seeing the image is 54.36 which is considered within the normal or healthy range. However, after seeing the image the average result would be 74.82 which is a significant change from the last one. This can show that the device works in instances of detecting substance 1 through pictures.

[0084] The average result of the first test without imaging was 54.3Hz which is considered within the neutral range. However, the average result of the second test that included the patients looking at the image was 78.35Hz which shows that the detection method is working and detects substance2 through images.

[0085] The average result of the first test (without image) would be 54.25Hz which is considered in the normal range. When the patient was shown a picture of substance 3 the average increased to 71.9Hz which is considered in the high range. This concludes that the device detects substance3 through images.

[0075] The present invention offers a number of advantages, reflecting its innovative approach and advanced technological integration:Precise Substance Detection: The system's ability to detect a wide range of substances, including viruses, bacteria, chemical substances, and radioactive elements, with precision is a significant advantage. This precision stems from the use of inherent frequencies unique to each substance.Non-Invasive Analysis: The method of detecting substances through electromagnetic signals and frequency comparison is non-invasive. This characteristic is particularly advantageous in sensitive environments or situations where traditional invasive methods are not feasible or desired.Real-Time Data Processing and Analysis: The system's capability to process and analyze data in real-time allows for immediate determination of substance presence and potential severity, which is crucial in time-sensitive situations.Advanced Al and Machine Learning Integration: The inclusion of Al and machine learning algorithms enables the system to continually improve its accuracy and adapt to new data, making it more effective over time.Versatility in Application: The system can be used in various environments, from controlled laboratory settings to field operations and remote locations, thanks to its portable design and adaptability.Life Status Determination and Cause of Death Identification: In its specialized embodiment, the system can determine life status and identify causes of death by analyzing images, a feature that can be invaluable in forensic science.User-Friendly Interface: The system's interface, including the display device and output device with intuitive gauges and scales, is designed for ease of use, making it accessible to a wide range of users.Recording and Documentation: The ability to record the results of each testing procedure, including substance identification and severity assessment, is valuable for maintaining accurate records and for research purposes.Customizable Frequency Ranges: The system's capability to work with pre-stored frequencies and to calibrate frequencies based on a reference database allows for customization to specific needs and scenarios.Enhanced Safety and Environmental Monitoring: By detecting potentially harmful substances in various environments, the system enhances safety and environmental monitoring capabilities.Integration with Various Data Sources: The ability to connect with external cameras, drones, and satellite imaging for live video feeds expands the system's applicability and enhances its functionality.Sophisticated Electrode Design: The electrode apparatus's design, ensuring precise and clear signal readings, contributes to the system's overall accuracy.

[0076] These advantages highlight the system's innovative approach to substance detection and analysis, offering a comprehensive solution that combines precision, versatility, and user- friendliness.

[0077] Further, one would appreciate that a communication network and a data repository (local or cloud-based storage) are also used in the present invention. The communication network can be a short-range communication network and / or a long-range communication network. The communication interface includes, but is not limited to, a serial communication interface, a parallel communication interface, or a combination thereof. The communication network may enable wireless and remote operation of the device, and the data repository may include pre-stored data of known frequencies of target substances, trained Al or Machine learning models, etc.

[0078] In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, for example, python R, C, C#, Java, or assembly. One or more software instructions in the modules may be embedded in firmware, such as an EPROM. It will be appreciated that modules may comprise connected logic units, such as gates and flip-flops, and may comprise programmable units, such as programmable gate arrays or processors. The modules described herein may be implemented as either software and / or hardware modules and may be stored in any type of computer-readable medium or other computer storage device.

[0079] Further, while one or more operations have been described as being performed by or otherwise related to certain modules, devices, or entities, the operations may be performed by or otherwise related to any module, device, or entity. As such, any function or operation that has been described as being performed by a module could alternatively be performed by a different server, by the cloud computing platform, or a combination thereof.

[0080] Various modifications to these embodiments are apparent to those skilled in the art from the description and the accompanying drawings. The principles associated with the various embodiments described herein may be applied to other embodiments. Therefore, the description is not intended to be limited to the embodiments shown along with the accompanying drawings but is to provide the broadest scope consistent with the principles and the novel and inventive features disclosed or suggested herein. Accordingly, the invention is anticipated to hold on to all other such alternatives, modifications, and variations that fall within the scope of the present invention and the appended claims.

Claims

CLAIMS1. A frequency-based detection system for precise identification and assessment of substance presence and severity, the system comprising: an input mechanism configured to receive a sample of one or more target substances in a form of raw material or solution or visual representations thereof in the form of images or videos; a frequency detector, configured to ascertain an inherent frequency of each individual target substance or from the visual representations; a display device configured to show live videos, or images to a volunteer; an electrode apparatus held by the volunteer configured to transmit electromagnetic signal that corresponds to an observant frequency of the volunteer, said observant frequency being influenced by the volunteer’s focused engagement with the live videos or images presented on the display device; and a processing unit in communication with the frequency detector, the display device, and the electrode apparatus, wherein the processing unit configured to: receive data indicative of the inherent frequency of the one or more target substances from the frequency detector; acquire data indicative of the observant frequency from the electrode apparatus, while the volunteer is looking at the live videos, or images; compare the inherent frequency with the observant frequency; determine an alignment metric between the observant frequency and the inherent frequency, wherein a predetermined degree of alignment is indicative of a disharmony condition; and deduce the presence and potential severity of the one or more target substances within an environment depicted in the live video feed or still photograph based on the determined alignment metric.

2. The system as claimed in claim 1, wherein the one or more target substances have a known frequency signature, and a pre-stored frequency within the detector; wherein the one or more target substances are selected from virus, bacteria, chemical substances, radioactive elements within the periodic table or combination thereof.

3. The system as claimed in claim 1, further comprising a digital repository configured to store multiple signal frequencies corresponding to various organs and diseases, therebyfacilitating the selection of treatment modalities based on the specific inherent frequency associated with each condition.

4. The system as claimed in claim 1, wherein the display device is connected to cameras, drones, satellite imaging to receive live video feeds from a remote location via transmission technologies.

5. The system as claimed in claim 1, wherein the electrode apparatus includes a plurality of electrodes configured to establish a circuit through the volunteer's body, thereby enhancing the precision of the observant frequency data.

6. The system as claimed in claim 1, wherein the volunteer is a healthy volunteer, and the volunteer’s own electromagnetic oscillations are used to detect areas of disharmony in the video, or images.

7. The system as claimed in claim 1, wherein the processing unit includes an integrated spectrum analyzer configured to perform the spectrum analysis on the inherent frequency received from the sample and the observant frequency received from the volunteer, enabling the determination of frequency alignment.

8. The system as claimed in claim 1, wherein the processing unit further comprises an artificial intelligence module configured to automatically analyze and interpret the comparative analysis between the inherent and observant frequencies.

9. The system as claimed in claim 7, wherein the artificial intelligence module utilizes machine learning algorithms to improve the system’s accuracy over time based on accumulated test data.

10. The system as claimed in claim 1 , wherein the frequency detector is additionally configured to calibrate the inherent frequency of the substances based on a reference database of known substance frequencies.

11. The system as claimed in claim 1, wherein the system further comprises an output device configured to display the alignment metric between the observant and inherent frequencies, wherein the output device includes a gauge with a scale indicating normal and abnormal frequency alignment ranges.

12. The system as claimed in claim 10, wherein the alignment metric determined by the processing unit, as indicated on the output device, reaches, or exceeds 60Hz, signifying the presence of the one or more target substances within the environment depicted in the live video feed or images.

13. The system as claimed in claim 1, wherein the processing unit is further configured to record the results of each testing procedure, creating a log that includes the date, time, substance identification, and severity assessment.

14. The system as claimed in claim 1, wherein the comparative analysis to determine the alignment metric is performed in real-time, allowing for immediate determination of substance presence and potential severity during the volunteer’s engagement with the images, or video.

15. The system as claimed in claim 1, wherein the system is configured to operate in a variety of environments, including laboratory settings, field operations, and remote locations facilitated by portable power supply options.

16. The system as claimed in claim 1, wherein the system is further configured to analyze images of an individual for life status determination and cause of death identification; wherein the processing unit is configured to: acquire data indicative of the observant frequency from the electrode apparatus, while the volunteer is looking at the live videos, or images with the display device showing images of the deceased individual; determine the observant frequency based on the acquired data from the volunteer and identify a status of the individual as: deceased, if the observant frequency is below 20 Hz; or death due to a disease affecting that organ, if the observant frequency is above 60 Hz, localized in a specific organ; or death due to poisoning, if the observant frequency is above 60 Hz across all organs.

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