TECHNICAL FIELD
[0001] The present disclosure relates generally to a drug detection device. More specifically, it pertains to a drug detection device based on changes occur in an eye.
BACKGROUND OF THE INVENTION
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Drugs are a strong stimulant frequently used for pain relief, state of sleep, physical, and mental peace. Addictive drugs affects mood and behaviour of individual, wherein the drugs include stimulants drugs (cocaine), depressants drugs (alcohol), opium-related painkillers (heroin), and hallucinogens (LSD). Other type of drugs include marijuana, heroin, amphetamine, hashish, opium, and methamphetamine.
[0004] Drugs commonly are inhaled through nose (snorted), injected or dissolved in veins, mixed with fluids, and rubbed on gums. Drugs have both mental effects and physical effects on drug addicted person, wherein the mental effects include intense feeling of happiness, sadness, agitation, mood swings, and the physical effects include sweating, large eye size, contraction of eye, redness of eye, fast heart rate, sweating, high blood pressure, increase in body temperature.
[0005] Presently, the drugs are major problem worldwide, sprawling wings from land of Latin America to metropolitan cities of world. Majorly youth of cities are falling in trap of drugs, wherein the youth such as urban rich brats, spoilt college girls, school children, and unemployed rural population are using drugs.
[0006] In existing prior technique, detection of drug requires dedicated laboratory for testing urine, blood, saliva, hair, or sweat of a drug addict person. If any drug substance is found after testing, the drug substance confirms consumption of drug by person. This method is a very cumbersome, time consuming, complex, inefficient, and costly method for detecting drugs consumption in the person. Moreover, the method requires skilled technician which can decrease accuracy and increase labour cost.

[0007] There is, therefore, a need in the art to provide a simple, fast, compact, cost-effective, and easy to monitor drug detection device which can easily detect drugs in drug addict person.
[0008] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
[0009] The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g. "such as") provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
[0010] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
OBJECTS OF THE INVENTION
[0011] A general object of the present disclosure is to provide an efficient and
economical solution for detecting drug in drug addict person.
[0012] An object of the present disclosure is to provide a drug detection device which
does not use any laboratory for testing various samples of drug addict person.
[0013] Another object of the present disclosure is to provide a drug detection device
which does not require manual intervention thereby reducing skilled technician expenses.
[0014] Another object of the present disclosure is to provide a drug detection device
which is simple and do not require any complicated operations.

[0015] These and other objects of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.
SUMMARY
[0016] Aspects of the present disclosure relate to a drug detection device. More
specifically, it pertains to a drug detection device based on changes occur in an eye.
[0017] In an aspect, the present disclosure provides a drug detection device, the detection
device can include a camera for capturing one or more images of an eye. A processing unit is
operatively coupled with the camera, the processing unit comprising a processor coupled to a
memory, the memory storing instructions executable by the processor to: extract a set of
ocular features from the captured one or more images, evaluate a weighted average of the
extracted set of ocular features. Generate an identifier based on the weighted average of the
extracted set of ocular features, and compare the generated identifier with a predefined
threshold identifier, where the threshold identifier is the weighted average of the extracted set
of ocular features associated with the eye.
[0018] In an aspect, based on the comparison when the identifier is more than or equal to
the threshold identifier, the processing unit generates an alert signal.
[0019] In an embodiment, the alert signal is indicative of the drug detection.
[0020] In an embodiment, the set of ocular features pertains to any or combination of
blood shot of optic nerve, macula dryness, blood vessel of an eye, retinal haemorrhage, size,
edges, and shape of eye.
[0021] In an embodiment, the processing unit comprises filter to reduce noise of the
captured one or more images of the eye.
[0022] In an embodiment, the processing unit based on comparison if identifier is less
than threshold identifier, the processing unit sends signal indicative of normal detection to the
display unit.
[0023] In an embodiment, the processing unit is operatively coupled with display unit to
captured one or more images of the eye.
[0024] In an embodiment, the display unit displays drug detection or normal detection
based on the signal received from the processing unit.
[0025] In an embodiment, the camera can be any or combination of a scanner, digital
camera, and a digital single-lens reflex (DSLR) camera.

[0026] In an aspect, the present disclosure provides a drug detection method, the method includes capturing, by a camera, one or more images of an eye; extracting, by a processing unit, set of ocular features from the captured one or more images, evaluating, by the processing unit, a weighted average of the extracted set of ocular features, generating, by the processing unit, an identifier based on the weighted average of the extracted set of ocular features, and comparing, by the processing unit, the generated identifier with a predefined threshold identifier, where the threshold identifier is the weighted average of the extracted set of ocular features associated with the eye, wherein based on the comparison when the identifier is more than or equal to the threshold identifier, the processing unit generates an alert signal.
[0027] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The accompanying drawings are included to provide a further understanding of
the present disclosure, and are incorporated in and constitute a part of this specification. The
drawings illustrate exemplary embodiments of the present disclosure and, together with the
description, serve to explain the principles of the present disclosure.
[0029] FIG. 1 illustrates a block diagram of the proposed drug detection device, in
accordance with an embodiment of the present disclosure.
[0030] FIG. 2 illustrates an exemplary flow chart of a proposed drug detection device, in
accordance with an embodiment of the present disclosure.
[0031] FIG. 3 illustrates a method of drug detection, in accordance with an embodiment
of the present disclosure.
DETAILED DESCRIPTION
[0032] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such details as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.

[0033] If the specification states a component or feature "may", "can", "could", or
"might" be included or have a characteristic, that particular component or feature is not
required to be included or have the characteristic.
[0034] Exemplary embodiments will now be described more fully hereinafter with
reference to the accompanying drawings, in which exemplary embodiments are shown. This
disclosure may however, be embodied in many different forms and should not be construed
as limited to the embodiments set forth herein. These embodiments are provided so that this
disclosure will be thorough and complete and will fully convey the scope of the disclosure to
those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the
disclosure, as well as specific examples thereof, are intended to encompass both structural
and functional equivalents thereof. Additionally, it is intended that such equivalents include
both currently known equivalents as well as equivalents developed in the future (i.e., any
elements developed that perform the same function, regardless of structure).
[0035] Various terms as used herein. To the extent a term used in a claim is not defined
below, it should be given the broadest definition persons in the pertinent art have given that
term as reflected in printed publications and issued patents at the time of filing.
[0036] Aspects of the present disclosure relate to a drug detection device. More
specifically, it pertains to a drug detection device based on changes occur in an eye.
[0037] In an aspect, the present disclosure provides a drug detection device, the detection
device can include a camera for capturing one or more images of an eye. A processing unit is
operatively coupled with the camera, the processing unit comprising a processor coupled to a
memory, the memory storing instructions executable by the processor to: extract a set of
ocular features from the captured one or more images, evaluate a weighted average of the
extracted set of ocular features. Generate an identifier based on the weighted average of the
extracted set of ocular features, and compare the generated identifier with a predefined
threshold identifier, where the threshold identifier is the weighted average of the extracted set
of ocular features associated with the eye.
[0038] In an aspect, based on the comparison when the identifier is more than or equal to
the threshold identifier, the processing unit generates an alert signal.
[0039] In an embodiment, the alert signal is indicative of the drug detection.
[0040] In an embodiment, the set of ocular features pertains to any or combination of
blood shot of optic nerve, macula dryness, blood vessel of an eye, retinal hemorrhage, size,
edges, and shape of eye.

[0041] In an embodiment, the processing unit comprises filter to reduce noise of the
captured one or more images of the eye.
[0042] In an embodiment, the processing unit based on comparison if identifier is less
than threshold identifier, the processing unit sends signal indicative of normal detection to the
display unit.
[0043] In an embodiment, the processing unit is operatively coupled with display unit to
captured one or more images of the eye.
[0044] In an embodiment, the display unit displays drug detection or normal detection
based on the signal received from the processing unit.
[0045] In an embodiment, the camera can be any or combination of a scanner, digital
camera, and a digital single-lens reflex (DSLR) camera.
[0046] In an aspect, the present disclosure provides a drug detection method, the method
includes capturing, by a camera, one or more images of an eye; extracting, by a processing
unit, set of ocular features from the captured one or more images, evaluating, by the
processing unit, a weighted average of the extracted set of ocular features, generating, by the
processing unit, an identifier based on the weighted average of the extracted set of ocular
features, and comparing, by the processing unit, the generated identifier with a predefined
threshold identifier, where the threshold identifier is the weighted average of the extracted set
of ocular features associated with the eye, wherein based on the comparison when the
identifier is more than or equal to the threshold identifier, the processing unit generates an
alert signal.
[0047] FIG. 1 illustrates a block diagram 100 of the proposed drug detection device, in
accordance with an embodiment of the present disclosure.
[0048] In an embodiment, the drug detection device can automatically detect drug if the
drug is consumed by a person. The drug detection device can include camera 102, processing
unit 110, and display unit 114. The device can capture eye of the person, compares the
captured eye with the existing normal eye, wherein based on comparison the device can
detect if the person has consumed drugs or not.
[0049] In an embodiment, the drug detection device can include a camera 102 for
capturing images of the eye of the person whose drug consumption is to be detected. The
camera 102 can be configured with high quality optical lens to capture perfect image of the
eye of the person. In an exemplary embodiment, the camera 102 can include a scanner, a
digital camera, a digital single-lens reflex (DSLR) camera, and/or any device that capture
images of the eye, but not limited to the likes.

[0050] In an embodiment, the drug detection device can include a processing unit 110 operatively coupled with the camera 102. Communication between the camera 102 and the processing unitllO may be established via a wired or wireless connection as is known in the art. The processing unitllO may include a single processor or multiple processor in communication with each other. Each processing unit may include, or be communicatively coupled to, memory having computer executable storage instructions. The processing unitl02 may execute the computer executable storage instructions, causing the processor unit(s) to perform their function.
[0051] In an embodiment, the memory may be or employ random access memory (RAM), read-only memory (ROM), optical storage, magnetic storage, removable storage, erasable programmable read only memory and variations thereof, content addressable memory and variations thereof, flash memory, disk drive storage, removable storage, any other memory type feasible in the context of the present invention, any combination thereof, or the like.
[0052] In an embodiment, the captured eye image can be stored in the memory 106 (internal memory or external memory). The processing unit 110 can incorporate image filter 104 such that the image filter 104 can filter noise of captured image by optimising brightness, contrast, blur, saturation, and grey scale of the captured image of eye. In another embodiment, the image filter 104 can filter captured image of eye based on the size and shadow of the captured image. In yet another embodiment, the image filter 104 can alter the captured image of eye by pixels of shade and colour.
[0053] In an embodiment, the processing unit 110 can extract set of ocular features from the captured image of eye. The set of ocular features can include blood shot of optic nerve, macula dryness, blood vessel, retinal haemorrhage, size, edges, and shape of eye. In another embodiment, the set of ocular features can include enlargement and contraction of the eye. In an exemplary embodiment, the set of ocular features can include intensity of colour of the eye, specifically, redness of the eye.
[0054] In an embodiment, the processing unit 110 can evaluate the set of ocular features based on the weighted average which assign some weight to each of the set of ocular features. The weighted average of set of ocular features can be calculated by assigning a weight to each set of ocular features, based on the assigned weight to the average of set of ocular features, the weighted average of the set of ocular features can be evaluated. [0055] In an embodiment, the processing unit 110 can generate identifier based on the weighted average of the extracted set of ocular features. In an embodiment, the generated

identifier can be compared with predefined threshold identifier such that the threshold identifier can be weighted average of the extracted set of ocular features. In another embodiment, the generated identifier can be compared 112 with preconfigured threshold identifier. Based on comparison 112 when the identifier is more than or equal to the threshold identifier, the processing unit 110 generates an alert signal indicative of detection of drug in the person. In an exemplary embodiment, based on comparison 112 if the identifier is less than the threshold identifier, the processing unit 110 sends a signal indicative of normal detection.
[0056] In an exemplary embodiment, the size of the eye can be set to 6 mm for a person having normal eye without any drug. The camera 102 captures image of eye of drug addict person with 9mm in size. The processing unit 110 at every size will do comparison 112 of the drug addict eye image and the normal eye, based on comparison 112 when the size of eye is reached to 6mm then the processing unit 110 sends alert signal indicative of drug addict. [0057] In an embodiment, the display unit 114 can operatively be coupled with the processing unit 110. The display unit 114 displays drug detection or normal detection based on the signal received from the processing unitllO. In an embodiment, the display unit 114 may be any suitable device that displays viewable images and/or text generated by the processing unit 110. For instance, the display unit 114 may be any of or any combination of a liquid-crystal-display (LCD) based monitor, a cathode ray tube (CRT) monitor, a plasma display monitor, a surface-conduction electron-emitter display (SED) monitor, an organic light-emitting diode (OLED) display monitor, or any other monitor that can display viewable images using television and/or computer protocols, such as Super Video Graphics Array, Digital Visual Interface, Phase Alternating Line, SECAM, NTSC, etc.
[0058] FIG. 2 illustrates an exemplary flow chart200 of a proposed drug detection device, in accordance with an embodiment of the present disclosure.
[0059] In an exemplary embodiment, the eye202 can be captured with camera 204. The camera 204 can operatively be coupled with the processing unit 206, the processing unit 206 filters captured image of the eye and extracts feature of the captured image such as size of the eye. The features of eye image can be compared with predefined threshold features, based on comparison if extracted features of captured image of eye are more than or equal to the threshold features then the processing unit will send a signal to display unit 208 indicative of drug detected.
[0060] FIG. 3 illustrates a method 300 of drug detection, in accordance with an embodiment of the present disclosure.

[0061] In an embodiment, the proposed method may be described in general context of
computer executable instructions. Generally, computer executable instructions can include
routines, programs, objects, components, data structures, procedures, modules, functions,
etc., that perform particular functions or implement particular abstract data types. The method
can also be practiced in a distributed computing environment where functions are performed
by remote processing devices that are linked through a communications network. In a
distributed computing environment, computer executable instructions may be located in both
local and remote computer storage media, including memory storage devices.
[0062] The order in which the method as described is not intended to be construed as a
limitation, and any number of the described method blocks may be combined in any order to
implement the method or alternate methods. Additionally, individual blocks may be deleted
from the method without departing from the spirit and scope of the subject matter described
herein. Furthermore, the method may be implemented in any suitable hardware, software,
firmware, or combination thereof. However, for ease of explanation, in the embodiments
described below, the method may be considered to be implemented in the above described
system.
[0063] In an aspect, present disclosure elaborates upon a method for drug detection
device, at block 302, capturing, by a camera, one or more images of an eye.
[0064] In an aspect the method further comprises at block 304, extracting, by a
processing unit, set of ocular features from the captured one or more images.
[0065] In an aspect the method further comprises at block 306, evaluating, by the
processing unit, a weighted average of the extracted set of ocular features.
[0066] In an aspect the method further comprises at block 308, generating, by the
processing unit, an identifier based on the weighted average of the extracted set of ocular
features.
[0067] In an aspect the method further comprises at block 310, comparing, by the
processing unit, the generated identifier with a predefined threshold identifier, where the
threshold identifier is the weighted average of the extracted set of ocular features associated
with the eye, wherein based on the comparison when the identifier is more than or equal to
the threshold identifier, the processing unit generates an alert signal.
[0068] It should be apparent to those skilled in the art that many more modifications
besides those already described are possible without departing from the inventive concepts
herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of
the appended claims. Moreover, in interpreting both the specification and the claims, all

terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C ... .and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc. The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the appended claims.
[0069] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[0070] The present disclosure provides an efficient and economical solution for detecting
drug in drug addict person.
[0071] The present disclosure provides a drug detection device which does not use any
laboratory for testing various samples of drug addict person.
[0072] The present disclosure provides a drug detection device which does not require
manual intervention thereby reducing skilled technician expenses.

[0073] The present disclosure provides a drug detection device which is simple and do not require any complicated operations.

We Claim

1.A drug detection device, said device comprising:
a camera for capturing one or more images of an eye;
a processing unit operatively coupled with the camera, the processing unit comprising a processor coupled to a memory, the memory storing instructions executable by the processor to:
extract a set of ocular features from the captured one or more images,
evaluate a weighted average of the extracted set of ocular features;
generate an identifier based on the weighted average of the extracted set of ocular features; and
compare the generated identifier with a predefined threshold identifier, where the threshold identifier is the weighted average of the extracted set of ocular features associated with the eye,
wherein based on the comparison when the identifier is more than or equal to the threshold identifier, the processing unit generates an alert signal.
2. The drug detection device as claimed in claim 1, wherein the alert signal is indicative of the drug detection.
3. The drug detection device as claimed in claim 1, wherein the set of ocular features pertains to any or combination of blood shot of optic nerve, macula dryness, blood vessel of an eye, retinal haemorrhage, size, edges, and shape of eye.
4. The drug detection device as claimed in claim 1, wherein the processing unit comprises filter to reduce noise of the captured one or more images of the eye.
5. The drug detection device as claimed in claim 1, wherein the processing unit based on comparison, if the identifier is less than threshold identifier, the processing unit sends signal indicative of normal detection to the display unit.
6. The drug detection device as claimed in claim 1, wherein the processing unit is operatively coupled with display unit to display captured one or more images of the eye.
7. The drug detection device as claimed in claim 6, wherein the display unit displays drug detection, normal detection based on the signal received from the processing unit.

8. The drug detection device as claimed in claim 1, wherein the camera can be any or
combination of a scanner, digital camera, and a digital single-lens reflex
(DSLR) camera.
9. The method for drug detection, said method comprising:
capturing, by a camera, one or more images of an eye;
extracting, by a processing unit, set of ocular features from the captured one or more images,
evaluating, by the processing unit, a weighted average of the extracted set of ocular features,
generating, by the processing unit, an identifier based on the weighted average of the extracted set of ocular features, and
comparing, by the processing unit, the generated identifier with a predefined threshold identifier, where the threshold identifier is the weighted average of the extracted set of ocular features associated with the eye, wherein based on the comparison when the identifier is more than or equal to the threshold identifier, the processing unit generates an alert signal.