Method for Rapid Detection of Drug-Related Persons under Ambient Light and Handheld Drug Detector

Abstract

The present invention provides a method for quickly detecting drug-related personnel based on ambient light and a handheld drug detector, which includes scanning the eye information of the person to be tested to obtain a pupil feature image, obtaining the current pupil size feature information and eye size information, and then determining whether the person is a drug-related personnel; when scanning the eye information, a light sensor is used to obtain the current ambient light of the person to be tested, and the illuminance data of the ambient light closest to the surroundings of the pupil is obtained. At the same time, in cooperation with a distance sensor, based on the relationship between the distance value between the detected detector and the eyes of the person to be tested and the imaging distance caused by the distance size, the closest true size data values of the pupil and eye features of the person to be tested at the current distance can be accurately calculated, solving the problem of the detection success rate caused by the data error deviation due to the non-fixed detection distance during non-contact detection.

Description

Technical Field

[0001] The present invention relates to the technical field of police equipment, and specifically to a method for quickly detecting drug-related personnel under ambient light and a handheld drug detector. Background Art

[0002] Drug addicts are, strictly speaking, patients with a brain disease. A large amount of scientific information is contained in the dynamic changes of the eyes. Scientifically and accurately obtaining these data and effectively analyzing and discriminating them are the technical keys to defining drug addicts. The pupil is highly sensitive to light stimulation. When irradiated with light (such as the light of a focused flashlight), the pupil immediately constricts, and quickly returns to its original state after the light source is removed. When one pupil is stimulated with light, that pupil constricts, and the pupil returns to its original state after the light is removed, which is called the direct light reflex. If the two eyes are separated by an opaque object (such as using a partition or palm), and one pupil is irradiated with light, the other pupil will also immediately constrict, which is called the indirect light reflex. Usually, the direct and indirect light reflexes of both eyes are simultaneous and of equal amplitude. The pupillary light reflex is an unconditioned nerve reflex process and is difficult to be interfered by subjective factors. The currently known nerve conduction pathway of the light reflex is: the dilation and constriction of the pupil are controlled by the dilator pupillae and the sphincter pupillae. The former causes the pupil to dilate and is controlled by the sympathetic nerve, and the latter's excitation causes the pupil to constrict and is controlled by the parasympathetic nerve. In the pupil constriction stage of the light reflex, it is mainly controlled by the parasympathetic nerve, and in the relaxation stage and pupil dark adaptation, it is mainly controlled by the sympathetic nerve.

[0003] The through-hole detector for suspected drug addicts precisely detects based on this principle. By using the characteristics of specific pupil dynamic changes of opioid drug addicts in response to specific light wavelengths and light intensities, it can quickly detect the physiological dependence degree and the craving degree for drugs of opioid suspected drug addicts and opioid drug addicts. For example, the pupil detector for suspected drug addicts of model SML produced by Kunming Elikote Technology Co., Ltd. Currently, a handheld non-contact pupil detector for suspected drug addicts has been launched, but due to the distance limitation, there is a problem of affecting the detection success rate. Summary of the Invention

[0004] The purpose of the present invention is to provide a solution means and corresponding equipment products that can improve the non-contact detection rate to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A method for quickly detecting drug-related personnel under ambient light, including scanning the eye information of the person to be tested to obtain a pupil feature image, obtaining the current pupil size feature information and eye size information, and then determining whether the person is a drug-related personnel. When scanning the eye information, the following steps are also included:

[0007] S1. Obtain the distance information between the face of the current person to be tested and the detector;

[0008] S2. Obtain the environmental light brightness information data around the current person to be tested;

[0009] S3. Transmit the distance information and the environmental light brightness information data to the central processing unit;

[0010] S4. After obtaining the current pupil size feature information and eye size information of the current person to be tested, combine the distance information and the environmental light brightness information data to obtain the accurate information of the pupil and eyes of the current person to be tested, and determine whether the person is a drug-related person based on the accurate information of the pupil and eyes.

[0011] Further, among them, the environmental light brightness information data around the current person to be tested is obtained through a light sensor; the distance information between the face of the current person to be tested and the detector is obtained through a distance sensor.

[0012] Further, the light sensor is used to detect the light intensity information of the face area of the person to be tested.

[0013] Further, in step S2, it further includes: when the distance information between the face of the person to be tested and the detector is less than 30 cm, the environmental light brightness information data around the current person to be tested is obtained.

[0014] Further, in step S2, it further includes: obtaining the light intensity information of the face area of the current person to be tested multiple times. When the distance information detected by the distance sensor is less than 30 cm, record the light intensity information i1 obtained by the light sensor at this time. Before the distance information detected by the distance sensor is less than 5 cm, record the light intensity information in obtained by the light sensor every 0.3 - 1.0 seconds. When the current pupil size feature information and eye size information of the current person to be tested are obtained, take the average value of all the light intensity information in as the environmental light brightness information data around the current person to be tested and transmit it to the central processing unit;

[0015] If the distance information detected by the distance sensor exceeds 30 cm again, delete all the light intensity information in obtained previously, and stop obtaining the light intensity information of the face area of the current person to be tested.

[0016] Further, when obtaining the illumination intensity information in of the face area of the current person to be tested, the distance information ln detected by the distance sensor at the same moment is also obtained; the central processing unit calculates the eye distance information between the detector and the person to be tested based on the distance information ln, and converts the accurate size values of the pupil size characteristic information and the eye size information of the person to be tested according to the distance information; combining the illumination intensity information in of the face area of the current person to be tested, calculates the standard data of the pupil size data and the eye characteristic data under this illumination intensity, and compares the accurate size values of the pupil size characteristic information and the eye size information of the person to be tested with the standard data to obtain a determination of whether drug use is involved.

[0017] Further, in the step S4, it further includes:

[0018] Obtain the congestion degree information in the current eyes of the current person to be tested;

[0019] Perform a judgment on the listlessness degree and compare the eye disease characteristics of the current eye image information of the current person to be tested;

[0020] Use the congestion degree information, the judgment result of the listlessness degree, and whether there are eye disease characteristics as the judgment factors for determining whether the person is a drug-related person.

[0021] On the other hand, the present invention relates to a handheld drug detector for quickly detecting drug-related personnel based on ambient light, including a detector housing, a camera lens on the front panel of the detector housing, and a central processing unit connected to the camera lens. A distance sensor and a light sensor are installed on the front panel of the housing, and the distance sensor and the light sensor are connected to the central processing unit.

[0022] Further, the distance sensor is an infrared ranging sensor, including an infrared signal transmitter and a receiving diode; or the distance sensor is an ultrasonic ranging sensor; or the distance sensor is a laser ranging sensor; the camera lens is a low-light color camera that can capture visible light in the entire wavelength range and infrared light in the wavelength range of 700 - 1300 nm.

[0023] Further, a front display screen is installed on the front panel of the housing. The distance sensor is below the front display screen, the light sensor is above it, and there is a camera lens on each of the left and right sides. The front display screen is used to display images or prompts.

[0024] Further, the handheld quick drug detector further includes a handle extending downward. The handle is internally provided with a storage battery for powering the entire detector, and a light-shielding cover extending forward is installed on the upper part of the front panel of the detector housing.

[0025] Furthermore, several infrared light supplementary lamps are also distributed around the camera lens. A rear liquid crystal display screen is provided on the rear panel of the detector housing, and the rear liquid crystal display screen is connected to the processor to display detection parameters, detection results, and records.

[0026] Principle of the present invention: The size of the pupil of the human eye changes with the size of the external ambient light. In order to obtain accurate standard numerical values of the normal pupil size, the influence of ambient light brightness on the pupil size should be considered. Therefore, the present invention uses a light sensor to obtain the current ambient light of the person to be tested. Instead of directly obtaining the surrounding ambient light, it obtains the illumination intensity information of the facial area of the person to be tested within a short distance, so as to obtain the illumination data of the ambient light closest to the area around the pupil. At the same time, in cooperation with the distance sensor, based on the relationship between the distance value detected between the detector and the eye of the person to be tested and the imaging distance caused by the distance, the closest true size data value of the pupil and eye characteristics of the person to be tested at the current distance can be accurately calculated, solving the problem of detection success rate caused by data error deviation due to non-fixed detection distance in non-contact detection.

[0027] Technical effects of the present invention compared with the prior art:

[0028] (1) After connecting the distance sensor, the problem of distance limitation in detection is solved. Non-contact drug-related pupil information can be obtained within an appropriate distance, reducing the usage limitations. Detection can be completed within a certain area, and the detection accuracy can be improved, enhancing the practicality of the detector.

[0029] (2) After adding the light sensor, the problem of usage environment limitation is solved. Whether it is for detection outdoors in bright light or under sunlight, or for detection work at night or in a dim environment, the usage period is expanded, and it has the function of full-time use. Based on different ambient light illuminations, standard pupil numerical values can be obtained according to the corresponding illuminations, thereby improving the accuracy of comparison, and enhancing the applicability and reliability of the detector. Description of the Drawings

[0030] Figure 1 Side view of the structure of a handheld drug detector for quickly detecting drug-related personnel based on ambient light;

[0031] Figure 2 、 Figure 3 Three-dimensional view of the structure of a handheld drug detector for quickly detecting drug-related personnel based on ambient light;

[0032] Figure 4 Three-dimensional view of the structure of the detector housing;

[0033] Figure 5It is a three-dimensional view of the back of the structure of a handheld drug detector for drug-related personnel based on ambient light;

[0034] Among them: 1 - detector housing, 2 - camera lens, 3 - front display screen, 4 - distance sensor, 5 - light sensor, 6 - handle, 7 - light shield, 8 - infrared light supplementary light, 9 - rear liquid crystal display screen, 10 - front panel, 11 - detection start button. Specific embodiments

[0035] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In addition, in the following descriptions, the descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.

[0036] Embodiment 1: A method for quickly detecting drug-related personnel based on ambient light, including scanning the eye information of the person to be tested to obtain a pupil characteristic image, obtaining the current pupil size characteristic information and eye size information, and then determining whether the person is a drug-related personnel. When scanning the eye information, the following steps are also included:

[0037] Step S1: Obtain the distance information between the face of the person to be tested and the detector;

[0038] Step S2: Obtain the ambient light brightness information data around the person to be tested;

[0039] Step S3: Transmit the distance information and the ambient light brightness information data to the central processing unit;

[0040] Step S4: After obtaining the current pupil size characteristic information and eye size information of the person to be tested, combine the distance information and the ambient light brightness information data to obtain the accurate information of the pupil and eyes of the person to be tested, and determine whether the person is a drug-related personnel based on the accurate information of the pupil and eyes.

[0041] Among them, the ambient light brightness information data around the person to be tested is obtained through the light sensor 5; the distance information between the face of the person to be tested and the detector is obtained through the distance sensor 4. The light sensor 5 is used to detect the light intensity information of the face area of the person to be tested.

[0042] Preferably, in step S2, it further includes: when the distance information between the face of the person to be tested and the detector is less than 30 cm, the ambient light brightness information data around the person to be tested is obtained.

[0043] In actual use, start this rapid drug detector, bring it close to the face of the person to be detected, and align the height position parallel to the eye position of the person to be monitored. At this time, the distance sensor 4 detects the distance between the face of the person to be detected and the detector, that is, the distance information Ln. Subsequently, immediately obtain the reflected light generated by the face area of the person to be detected through the light sensor 5, and obtain the intensity information of the illumination brightness in the face area of the person to be detected at this time, that is, the ambient light brightness information data In. At the same time, transmit both Ln and In to the central processor. During this process, synchronously obtain the current pupil size characteristic information and eye size information of the person to be detected, and also transmit them to the central processor. After receiving the above several data indicators, the central processor can, according to the far and near distance information Ln of the person to be detected, combined with the actually obtained pupil size characteristic information and eye size information, through the actual size value change of near-big and far-small, convert and obtain the real pupil size characteristic information and eye size information, that is, it can be converted according to the coefficient formula of the change of the object shape and size with distance. For example, if the size of the human eye in the picture obtained by the sensor is a, the distance information Ln, and the coefficient formula is c, then the actual standard size of the human eye can be obtained as the value of a*c. The converted value is the eye size in the standard state; thus, it is not necessary to press the eyepiece tightly against the eye of the person to be detected for detection, and real eye data can also be obtained, realizing non-contact detection; and combined with the visible light brightness information, that is, the influence factor of ambient light on the human eye pupil. Under different ambient light intensities, the size of the human eye pupil changes. Obtaining the data of ambient light is also a key factor for the standard pupil size that the refined pupil should have under the current ambient light. The present invention simultaneously considers the distance factor and the visible light factor, optimizes and converts the influence on the obtained eye information, solves the inaccuracy and recognition rate problems in the non-contact detection process, and better improves the stability and accuracy of the detection process, meeting the requirements of rapid and accurate non-contact drug detection.

[0044] Preferably, in step S2, it further includes: obtaining the light intensity information of the face area of the current person to be tested multiple times. When the distance information detected by the distance sensor 4 is less than 30 cm, record the light intensity information i1 obtained by the light sensor 5 at this time. Before the distance information detected by the distance sensor 4 is less than 5 cm, record the light intensity information in obtained by the light sensor 5 once every 0.3 - 1.0 seconds. After obtaining the current pupil size feature information and eye size information of the current person to be tested, take the average value of all the light intensity information in as the ambient light brightness information data around the current person to be tested and transmit it to the central processing unit; if the distance information detected by the distance sensor 4 exceeds 30 cm again, delete all the previously obtained light intensity information in and stop obtaining the light intensity information of the face area of the current person to be tested. In actual use, in order to avoid power consumption, when the distance information detected by the distance sensor 4 is greater than 30 cm, the light sensor 5 of this detector and the camera lens 2 in the detection eyepiece are not activated; so that the device remains in a standby state even when it is turned on, operating with low energy consumption and saving power; in actual use, it is also possible that due to environmental reasons, the light brightness may show abnormal conditions. Therefore, in the early stage of preparing for detection, continuously obtain multiple light intensity information, and after taking pictures to obtain eye information, use the comprehensive ambient light as the judgment benchmark, which can achieve the accuracy and representativeness of light measurement and further improve the accuracy of detection.

[0045] The specific calculation process is as follows: when obtaining the light intensity information in of the face area of the current person to be tested, simultaneously obtain the distance information ln detected by the distance sensor 4 at the same moment;

[0046] The central processing unit calculates the eye distance information of the detector from the detected person through the distance information ln, and converts the accurate size values of the pupil size feature information and eye size information of the detected person according to this distance information;

[0047] Combined with the light intensity information in of the face area of the current person to be tested, calculate the standard data of the pupil size and eye feature data under this light intensity, and compare the accurate size values of the pupil size feature information and eye size information of the detected person with the standard data to obtain a determination of whether drug use is involved.

[0048] Embodiment 2: On the basis of Embodiment 1, in step S4, add the following steps:

[0049] Obtain the degree of congestion in the current eyes of the current person to be tested;

[0050] Perform a judgment on the degree of mental sluggishness and compare the eye disease characteristics of the current eye image information of the current person to be tested;

[0051] Use the degree of congestion information, the judgment result of listlessness, and whether there are eye disease characteristics as the judgment factors for determining whether a person is involved in drug use.

[0052] Preferably: when obtaining the degree of congestion information in the current eyes of the current person to be tested, obtain the eye image information of both eyes of the person to be tested, and identify whether the positions of the congested areas in the two eyes are the same and whether the degrees of congestion are the same. If the positions are the same and the degrees are the same, the degree of eye congestion information is used as one of the bases for judging whether a person is involved in drug use;

[0053] When judging the degree of listlessness, obtain at least five dynamic images within the continuous time before and after obtaining the eye information in the pupil area through image recognition technology, and compare the number of abnormal pupil displays in all dynamic images. If the number exceeds 20% and is less than 60%, it is judged as moderate degree of listlessness. If the number exceeds 60%, it is judged as high degree of listlessness. If the number is less than 20%, the degree of listlessness is low; the abnormal pupil refers to the situation where the pupil is blocked by the upper eyelid.

[0054] Eye disease characteristics, for example, after extracting features through eye image information and comparing them with the database of eye disease characteristics, if the features are consistent, they are eye disease characteristics, such as conjunctivitis.

[0055] After obtaining the accurate eye information and eye feature data combined with the distance information and illuminance information in Example 1, if it is judged that the person is involved in drug use, further obtain the degree of congestion information. If the degree of congestion exceeds the preset value, further provide a display or prompt of the type of drug involved, such as suspected marijuana use. If the degree of listlessness exceeds moderate, it is prompted that there is a high probability of drug use.

[0056] Example 3: A handheld drug detector for quickly detecting drug-related personnel based on the detection method described in Example 1 under ambient light, such as Figures 1 to 5 shown, including a detector housing 1, a camera lens 2 on the front panel 10 of the detector housing 1, and a central processor connected to the camera lens 2. A distance sensor 4 and a light sensor 5 are installed on the front panel 10 of the housing, and the distance sensor 4 and the light sensor 5 are connected to the central processor.

[0057] The distance sensor 4 is an infrared ranging sensor, including an infrared signal transmitter and a receiving diode; or the distance sensor 4 is a ultrasonic ranging sensor; or the distance sensor 4 is a laser ranging sensor; the camera lens 2 is a low-light color camera that can capture full-band visible light and infrared light in the wavelength range of 700 - 1300 nm.

[0058] A front display screen 3 is installed on the front panel 10 of the housing. Below the front display screen 3 is a distance sensor 4, above it is a light sensor 5, and on each of the left and right sides is a camera lens 2. The front display screen 3 is used to display images or prompts, which is convenient for attracting the attention of the person to be detected, making them look directly and steadily for a period of time. The rapid handheld drug detector further includes a handle 6 extending downward. The handle 6 houses a storage battery that powers the entire detector. On the upper part of the front panel 10 of the detector housing 1, a light-shielding cover 7 extends forward. A detection start button 11 is installed on the handle 6. The detection start button 11 is connected to the central processor and is used to start the corresponding detection program.

[0059] There are also several infrared light supplement and auxiliary 8 lamps distributed around the camera lens 2. On the rear panel of the detector housing 1, a rear liquid crystal display screen 9 is provided. The rear liquid crystal display screen 9 is connected to the processor and displays detection parameters, detection results, and records. In the case of insufficient light, the infrared light supplement and auxiliary 8 lamps can be turned on to improve the image recognition speed and clarity of the camera lens 2.

[0060] The distance sensor 4 is an infrared ranging sensor, including an infrared signal emitter and a receiving diode; or the distance sensor 4 is a ultrasonic ranging sensor; or the distance sensor 4 is a laser ranging sensor.

[0061] The camera lens 2 is a low-light color camera that can capture visible light in the full wavelength range and infrared light in the wavelength range of 700 - 1300 nm.

[0062] It should be understood that the above specific embodiments of the present invention are only for illustrative explanation or interpretation of the principles of the present invention, and do not constitute a limitation to the present invention. Therefore, any modifications, equivalent replacements, improvements, etc. made without departing from the spirit and scope of the present invention shall be included within the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modification examples that fall within the scope and boundary of the appended claims, or equivalent forms of such scope and boundary.

Claims

1. A method for quickly detecting drug-related personnel under ambient light, including scanning the eye information of the person to be tested to obtain a pupil feature image, obtaining the current pupil size feature information and eye size information, and then determining whether the person is a drug-related personnel. It is characterized in that, When scanning eye information, the following steps are also included: S1. Obtain the distance information between the face of the current person to be examined and the detector; S2. When the distance information between the face of the person to be examined and the detector is less than 30 cm, obtain the light intensity information of the face area of the current person to be examined multiple times. When the distance information detected by the distance sensor (4) is less than 30 cm, record the light intensity information i1 obtained by the light sensor (5) at this time. Before the distance information detected by the distance sensor (4) is less than 5 cm, record the light intensity information in obtained by the light sensor (5) once every 0.3 - 1.0 seconds. After obtaining the current pupil size characteristic information and eye size information of the current person to be examined, take the average value of all the light intensity information in as the ambient light brightness information data of the current person to be examined and transmit it to the central processor; if the distance information detected by the distance sensor (4) exceeds 30 cm again, delete all the light intensity information in obtained previously and stop obtaining the light intensity information of the face area of the current person to be examined; S3. Transmit the distance information and ambient light brightness information data to the central processor; S4. After obtaining the current pupil size characteristic information and eye size information of the current person to be examined, combine the distance information and ambient light brightness information data to obtain the accurate information of the pupil and eyes of the current person to be examined, and determine whether the person is a drug-related person based on the accurate information of the pupil and eyes; Obtain the distance information between the face of the current person to be examined and the detector through the distance sensor (4), and the light sensor (5) is used to detect the light intensity information of the face area of the person to be examined.

2. The detection method according to claim 1, characterized in that, When obtaining the light intensity information in of the face area of the current person to be examined, simultaneously obtain the distance information ln detected by the distance sensor (4) at the same moment; The central processor calculates the eye distance information between the detector and the detected person through the distance information ln, and converts the accurate size values of the pupil size characteristic information and eye size information of the detected person according to this distance information; Combine the light intensity information in of the face area of the current person to be examined, calculate the standard data of the pupil size under this light intensity and the eye characteristic data, and compare the accurate size values of the pupil size characteristic information and eye size information of the detected person with the standard data to obtain a determination of whether drug-related; 3. The detection method according to claim 1, characterized in that, In step S4, the following are also included: Obtain the congestion degree information in the current eyes of the current person to be examined; Perform a judgment on the listlessness degree and compare the eye disease characteristics of the current eye image information of the current person to be examined; Use the congestion degree information, the judgment result of the listlessness degree, and whether there are eye disease characteristics as the judgment factors for determining whether the person is a drug-related person.

4. The detection method according to any one of claims 1-3, characterized in that, This method uses a handheld rapid drug detector, and the handheld rapid drug detector includes a detector housing (1), a camera lens (2) located on the front panel (10) of the detector housing (1), and a central processor connected to the camera lens (2). A distance sensor (4) and a light sensor (5) are installed on the front panel (10) of the detector housing (1), and the distance sensor (4) and the light sensor (5) are connected to the central processor; The distance sensor (4) is an infrared ranging sensor, including an infrared signal emitter and a receiving diode; Or the distance sensor (4) is a ultrasonic ranging sensor; Or the distance sensor (4) is a laser ranging sensor; The camera lens (2) is a low-light color camera that can capture visible light in the full wavelength range and infrared light in the wavelength range of 700 - 1300 nm.

5. The detection method according to claim 4, characterized in that, A front display screen (3) is installed on the front panel (10). The distance sensor (4) is below the front display screen (3), the light sensor (5) is above it, and one camera lens (2) is on each of the left and right sides. The front display screen (3) is used to display images or prompts.

6. The detection method according to claim 4, characterized in that, The handheld rapid drug detector further includes a downward-extending handle (6). The handle (6) is internally provided with a storage battery for powering the entire detector, and a light-shielding cover (7) extending forward is installed on the upper part of the front panel (10) of the detector housing (1).

7. The detection method according to claim 4, characterized in that, A number of infrared light supplementary (8) lamps are also distributed around the camera lens (2). A rear liquid crystal display screen (9) is provided on the rear panel of the detector housing (1), and the rear liquid crystal display screen (9) is connected to the processor to display detection parameters, detection results, and records.

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