Intelligent physical evidence instrument and physical evidence acquisition method

Abstract

The invention discloses an intelligent physical evidence instrument and a physical evidence collection method. The intelligent physical evidence instrument comprises a cooperative physical evidence table, and a to-be-collected physical evidence is placed on the cooperative physical evidence table; the collaborative robot is integrated on the AGV intelligent trolley and moves to one side of the collaborative material evidence table through the AGV intelligent trolley; the material evidence collection assembly is integrated at the working end of a mechanical arm of the collaborative robot, and the material evidence collection assembly is based on a full-spectrum intelligent scanning camera and is used for photographing material evidences on the collaborative material evidence table; the system further comprises a control system. And the control system identifies the shot material evidence photo based on an internal algorithm so as to distinguish the class trace formed by the biological material evidence and the class trace formed by the non-biological reason. According to the physical evidence instrument, the cooperative robot is adopted to achieve all-dimensional dead-corner-free automatic intelligent mobile searching and photographing of different physical evidences through a preset operation program, manual intervention is not needed at all, and automatic searching, finding, photographing and imaging are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of physical evidence collection, and in particular to an intelligent physical evidence instrument and a physical evidence collection method. BACKGROUND

[0002] At present, similar products need to be manually searched for physical evidence by manually holding an investigation device, and completely rely on personnel to actively search and find. Meanwhile, during the searching process, the operator needs to manually determine when suspicious traces are found, and the operation requires high personnel operation. The photographing of physical evidence also needs to be manually photographed by a handheld camera, and needs manual intervention, and is prone to cross contamination or requires additional personnel. For extremely small cell clusters or cell-level trace evidence, the operator cannot see them with the naked eye, and important evidence is often missed. For biological traces on similar red difficult evidence, there is currently no effective solution for such devices, and important evidence is often missed.

[0003] Therefore, based on the above technical problems, the technical personnel in the field urgently need to develop an intelligent physical evidence instrument and a physical evidence collection method. SUMMARY

[0004] The purpose of the present application is to provide an intelligent physical evidence instrument and a physical evidence collection method, which uses a collaborative robot to realize omnidirectional and dead-angle-free automatic intelligent mobile search and photographing of different physical evidence through a pre-set operation program, completely without manual intervention, and realizes automatic search and discovery and photographing imaging.

[0005] In order to achieve the above purpose, the present application provides the following technical scheme: The intelligent physical evidence instrument of the present application comprises: A collaborative physical evidence table, on which the physical evidence to be collected is placed; A collaborative robot integrated on an AGV intelligent car and moved to one side of the collaborative physical evidence table through the AGV intelligent car; and A physical evidence collection assembly integrated on the working end of the mechanical arm of the collaborative robot, which is based on a full-spectrum intelligent scanning camera and photographs the physical evidence on the collaborative physical evidence table; Further comprising a control system; The control system identifies the photographed physical evidence photos based on the algorithm inside it, in order to distinguish between biological trace formation and non-biological trace formation.

[0006] Further, the collaborative physical evidence table has an HP all-in-one machine and an operation panel; The HP all-in-one machine communicates with the physical evidence collection assembly.

[0007] Further, the physical evidence collection assembly comprises: a shell; a full-spectrum intelligent scanning camera integrated in the shell, and the full-spectrum intelligent scanning camera is configured with a mini display screen, and the mini display screen is used to display images captured by the full-spectrum intelligent scanning camera in real time; an intelligent zoom device and a laser light source used in cooperation with the full-spectrum intelligent scanning camera, and the intelligent zoom device is provided with a zoom assembly.

[0008] Further, the physical evidence collecting assembly is integrated with a main control circuit board, and a difficult physical evidence investigation module is connected with the main control circuit board.

[0009] Further, the physical evidence collecting assembly is integrated with an axial flow fan, and is provided with heat dissipation fins.

[0010] Further, the shell is connected with a mechanical arm end connector at one end of the mechanical arm.

[0011] Further, the physical evidence collecting assembly is divided into a MAC mode and a MIC mode; The MAC mode is used for overall search of physical evidence, when the MAC mode is used, the physical evidence collecting assembly is more than 200mm away from the physical evidence, and the captured image can be enlarged to more than 30 times on the HP all-in-one machine; The MIC mode is used for local detail search of physical evidence, when the MIC mode is used, the physical evidence collecting assembly is about 100mm away from the physical evidence, and the captured image can be optically enlarged to 20 times and synthetically enlarged to more than 110 times on the 31-inch HP all-in-one machine.

[0012] The application discloses a physical evidence collecting method based on the above intelligent physical evidence instrument.

[0013] Further, when the MAC mode is performed, the following steps are mainly included: S101, an automatic recognition button on a controller is clicked, a 3D vision camera carried on a collaborative robot is used to perform 3D recognition on the appearance of physical evidence, and a full-range scanning path is obtained through a built-in algorithm; S102, when the collaborative robot starts to move according to the calculated scanning path, and the physical evidence collecting assembly photographs and records according to different spectrums, abnormal information presented under each spectrum is fully spliced, and all suspicious information on the whole physical evidence is imaged on a spliced combination photo; S103, abnormal information on the photo captured in step S102 is recognized by software AI intelligence, and the recognition type is divided into fine spots, sweat spots, bloodstains, other biological traces or non-biological traces, and a probability is given; S104, for special abnormal parts, further do different height and different magnification of targeted multiple amplification re-scanning, imaging and AI intelligent identification, under a certain high-definition magnification, identification and judgment are carried out.

[0014] Further, when the MIC mode is performed, the following steps are mainly included: S201, after selecting the MIC mode, the collaborative robot directly reduces the height at the suspicious position, and the system is converted to the MIC mode; S202, first, automatic search and synchronous photographing at a lower magnification are carried out, the operation steps of the system are consistent with steps S102 to S104, and after the specific position is confirmed again, high-definition high-magnification imaging can be carried out to survey details.

[0015] In the above technical solution, the intelligent physical evidence instrument and the physical evidence collection method provided by the application have the following beneficial effects: The physical evidence instrument of the application realizes omnibearing automatic intelligent mobile search and photographing of different physical evidence through a preset operation program of the collaborative robot, without manual intervention, and realizes automatic search, discovery and imaging. DETAILED DESCRIPTION

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art according to these drawings.

[0017] Figure 1 The structure diagram of the intelligent physical evidence instrument disclosed by the embodiment of the present application is shown in the figure. Figure 2 The structure explosion diagram of the physical evidence collection assembly of the intelligent physical evidence instrument disclosed by the embodiment of the present application is shown in the figure. Figure 3 The principle block diagram of the difficult physical evidence investigation module of the intelligent physical evidence instrument disclosed by the embodiment of the present application is shown in the figure. Figure 4 The effect diagram of the conventional light source cooperating with the conventional filter to discover the potential biological traces on the above is shown in the figure. Figure 5 The effect diagram of the intelligent physical evidence instrument disclosed by the embodiment of the present application using the improved specific waveband laser / LED spectrum cooperating with the special bandwidth filter and the auxiliary intelligent scanning camera is shown in the figure. Figure 6 The principle block diagram of the software AI intelligent identification of the abnormal information of the intelligent physical evidence instrument disclosed by the embodiment of the present application is shown in the figure. Figure 7This is an illustration of the effect of an intelligent evidence instrument disclosed in an embodiment of the present invention in distinguishing the brightness signals of biofluorescence and normal fluorescence of background materials; Figure 8 This is a rendering of an intelligent evidence detector that detects abnormal stains, as disclosed in an embodiment of the present invention. Figure 9 This is a typical image showing the morphology of exfoliated cells and the effect of cellular fluorescence reaction in an intelligent evidence instrument disclosed in an embodiment of the present invention. Figure 10 This is a diagram illustrating the effect of a typical fructose fluorescence reaction of a smart evidence instrument disclosed in an embodiment of the present invention. Figure 11 This is a typical imaging effect of occult blood in an intelligent evidence instrument disclosed in an embodiment of the present invention under IR 850nm combined with an infrared filter; Explanation of reference numerals in the attached figures: 1. Collaborative robot; 2. HP all-in-one machine; 3. Control panel; 4. Collaborative evidence station; 5. AGV intelligent vehicle; 6. Evidence collection components; 601. Housing; 602. Full-spectrum intelligent scanning camera; 603. Mini display screen; 604. Intelligent zoom device; 605. Laser light source; 606. Axial flow fan; 607. Aviation plug structure; 608. Zoom assembly; 609. Heat sink fins; 610. Main control circuit board; 611. Difficult evidence investigation module; 612. Robotic arm end effector. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0019] See Figures 1 to 11 As shown; This embodiment provides an intelligent evidence device, which includes: Collaborative Evidence Table 4: Evidence to be collected is placed on Collaborative Evidence Table 4. Collaborative robot 1 is integrated onto AGV intelligent vehicle 5 and moves to one side of collaborative evidence platform 4 via AGV intelligent vehicle 5; and The evidence collection component 6 is integrated into the working end of the robotic arm of the collaborative robot 1. The evidence collection component 6 is based on the full-spectrum intelligent scanning camera 602 and takes pictures of the evidence on the collaborative evidence table 4. It also includes the control system; The control system uses its internal algorithm to identify photographs of physical evidence to distinguish between freckles formed by biological evidence and freckles formed by non-biological causes.

[0020] Specifically, in this embodiment, the collaborative evidence stand 4 is used to place physical evidence, and is used in conjunction with a collaborative robot 1. The collaborative robot 1 is equipped with a 3D vision camera, which can automatically identify the shape of the evidence and provide search modes, achieving stable mobile searching and photography of relevant evidence from all angles without blind spots. The robotic arm at the front end of the collaborative robot 1 is equipped with an evidence acquisition component 6. This evidence acquisition component 6, through a full-spectrum intelligent scanning camera 602, combined with a specific light source and filter system, can achieve full-spectrum intelligent scanning and photography of various pieces of evidence and record various abnormal trace information.

[0021] As a controller component, the collaborative evidence station 4 in this embodiment has an HP all-in-one machine 2 and an operation panel 3; the HP all-in-one machine 2 communicates with the evidence acquisition component 6.

[0022] Preferably, the evidence acquisition component 6 in this embodiment includes a housing 601; a full-spectrum intelligent scanning camera 602 integrated in the housing 601, the full-spectrum intelligent scanning camera 602 is a full-spectrum intelligent scanning camera 602 of Beijing Ocean Technology Co., Ltd. with model number OCT-S, and the full-spectrum intelligent scanning camera 602 is equipped with a mini display screen 603, the mini display screen 603 is a mini display screen of Beijing Ocean Technology Co., Ltd. with model number OCT-HDMI, and the mini display screen 603 is used to display the images captured by the full-spectrum intelligent scanning camera 602 in real time; The intelligent zoom device 604 and laser light source 605 are used in conjunction with the full-spectrum intelligent scanning camera 602. In this embodiment, the intelligent zoom device 604 is an OCT-CML intelligent zoom device manufactured by Beijing Ocean Haitai Technology Co., Ltd. At the same time, the intelligent zoom device 604 in this embodiment is provided with a zoom component 608.

[0023] The evidence collection component 6 in this embodiment is equipped with a high-magnification magnification device, which can achieve magnification display of more than 110 times. Through the operation of the robotic arm of the collaborative robot 1, high-definition magnified imaging and photography can be achieved with automatic focusing or manual intervention focusing, and cell-level resolution imaging recording can be achieved.

[0024] See Figure 3 As shown, preferably, the evidence collection component 6 of this embodiment integrates a main control circuit board 610, and a difficult evidence investigation module 611 is connected to the main control circuit board 610. The difficult evidence investigation module 611 of this embodiment uses a modified specific laser / LED light source combined with a bandpass filter of a special wavelength, and is further assisted by an intelligent scanning camera to remove interfering spectra and retain the biofluorescence spectrum, thereby discovering potential biological traces, such as... Figure 4 and Figure 5The comparison results are shown in the diagram. The difficult evidence investigation module 611 in this embodiment is the OCT-IML model difficult evidence investigation module 611 manufactured by Beijing Ocean Haitai Technology Co., Ltd.

[0025] Preferably, the physical evidence collection component 6 in this embodiment integrates an axial flow fan 606 and is equipped with heat dissipation fins 609.

[0026] Preferably, in this embodiment, the end of the housing 601 connected to the robotic arm is provided with a robotic arm end connector 612.

[0027] Preferably, the evidence collection component in this embodiment has a system divided into MAC mode and MIC mode; The MAC mode is used for overall search of physical evidence. When using the MAC mode, the physical evidence acquisition component 6 is more than 200mm away from the physical evidence and can magnify the captured image to more than 30 times on the HP all-in-one machine 2. The MIC mode is used for local detail search of evidence. When using the MIC mode, the evidence acquisition component 6 is about 100mm away from the evidence and can magnify the captured image at 4K level by more than 110 times on the 31-inch HP all-in-one camera 2.

[0028] This invention discloses a method for collecting physical evidence, which is based on the aforementioned intelligent physical evidence device.

[0029] When using MAC mode, the main steps are as follows: S101. Click the automatic recognition button on the controller to use the 3D vision camera (Mech-Eye3D vision camera from Beijing Mech-Eye Technology Co., Ltd.) on the collaborative robot 1 to perform 3D recognition on the appearance of the evidence and obtain the omnidirectional scanning path through the built-in algorithm. S102. When the collaborative robot 1 starts to move along the calculated scanning path, and the physical evidence collection component 6 takes pictures and records them according to different spectra, the fluorescent photos presented under each spectrum are fully stitched together, and all the suspicious information on the physical evidence is imaged on the same stitched combination photo. S103. Perform software AI intelligent recognition on the abnormal information in the photos taken in step S102, such as... Figure 6 As shown, the identification types are divided into semen stains, sweat stains, bloodstains, other biological stains, or non-biological stains, and the probabilities are given. S104. For special abnormal areas, further targeted multi-magnification and rescanning are performed at different heights and magnifications to re-scan and photograph the images, and AI intelligent recognition is used to identify and judge the images at a certain high-definition magnification.

[0030] Furthermore, when performing MIC mode, the main steps include: S201. After selecting MIC mode, collaborative robot 1 will directly lower its height at the suspicious location and the system will switch to MIC mode. S202. First, perform automatic search and synchronous photography at a lower magnification. The system operation steps are the same as steps S102 to S104. After confirming the specific location again, high-definition high-magnification magnified imaging can be performed to examine the details.

[0031] Preferably, in step S103, the method for stain recognition is as follows: 1. See Figure 7 As shown, the brightness signals of biological fluorescence and normal fluorescence of background materials are first distinguished. 2. See Figure 8 As shown, the stain was magnified to 20x (overall magnification exceeding 110x) in 4K MIC mode to clearly see the composition of the stain and determine whether there are typical exfoliated cell morphologies and fluorescent reactions or special fluorescent reactions of fructose components contained in semen stains. See Figure 9 As shown, then magnification was performed using MIC mode at 20x optical magnification (overall magnification exceeding 110x) to check for identifiable components such as detached cells; Figure 9 As shown, it exhibits typical exfoliated cell morphology and cellular fluorescence reaction; as Figure 10 As shown, it exhibits a typical fructose-based fluorescent reaction in sperm stains; as Figure 11 As shown, this is a typical molding effect of occult blood under IR850nm with an infrared filter.

[0032] 3. Recognition probability: stains greater than 92%; exfoliated cells greater than 90%.

[0033] The intelligent evidence collection device and method provided by the present invention, as described above, have the following beneficial effects: The evidence instrument of this invention uses a collaborative robot 1 to automatically and intelligently move and photograph different pieces of evidence from all angles without blind spots through a pre-set operating program, without any human intervention, thus achieving automated search, discovery and imaging.

[0034] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An intelligent evidence detector, characterized in that, The intelligent evidence device includes: Collaborative evidence table (4), on which the evidence to be collected is placed; A collaborative robot (1), which is integrated on an AGV intelligent vehicle (5) and moves to one side of the collaborative evidence platform (4) via the AGV intelligent vehicle (5); and The evidence collection component (6) is integrated into the working end of the robotic arm of the collaborative robot (1). The evidence collection component (6) is based on a full-spectrum intelligent scanning camera (602) and takes pictures of the evidence on the collaborative evidence table (4). It also includes the control system; The control system uses its internal algorithm to identify photographs of physical evidence to distinguish between freckles formed by biological evidence and freckles formed by non-biological causes.

2. The intelligent evidence device according to claim 1, characterized in that, The collaborative evidence table (4) has an HP all-in-one machine (602) and an operation panel (603). The HP all-in-one machine (602) communicates with the evidence collection component (6).

3. The intelligent evidence device according to claim 1, characterized in that, The evidence collection component (6) includes: Housing (601); A full-spectrum intelligent scanning camera (602) is integrated within the housing (601), and the full-spectrum intelligent scanning camera (602) is equipped with a mini display screen (603), and the mini display screen (603) is used to display images captured by the full-spectrum intelligent scanning camera (602) in real time; The intelligent zoom device (604) and laser light source (605) are used in conjunction with the full-spectrum intelligent scanning camera (602), and the intelligent zoom device (604) is provided with a zoom component (608).

4. The intelligent evidence device according to claim 3, characterized in that, The physical evidence collection component (6) integrates a main control circuit board (610), and a difficult physical evidence investigation module (611) is connected to the main control circuit board (610).

5. The intelligent evidence device according to claim 3, characterized in that, The evidence collection component (6) integrates an axial flow fan (606) and is equipped with heat dissipation fins (609).

6. The intelligent evidence detector according to any one of claims 2 to 5, characterized in that, The end of the housing (601) connected to the robotic arm is provided with a robotic arm end connector (612).

7. The intelligent evidence device according to claim 6, characterized in that, The evidence collection component (6) is divided into MAC mode and MIC mode. The MAC mode is used for the overall search of physical evidence. When using the MAC mode, the physical evidence acquisition component (6) is more than 200mm away from the physical evidence and can magnify the captured image to more than 30 times on the HP all-in-one machine (2). The MIC mode is used for local detail search of evidence. When using the MIC mode, the evidence acquisition component (6) is 100mm away from the evidence and can magnify the captured image by more than 110 times on the HP all-in-one machine (2).

8. A method for collecting physical evidence, characterized in that, The evidence collection method is based on the intelligent evidence device according to any one of claims 1 to 7.

9. The method for collecting physical evidence according to claim 8, characterized in that, When using MAC mode, the main steps are as follows: S101. Click the automatic recognition button on the controller and use the 3D vision camera on the collaborative robot (1) to perform 3D recognition on the appearance of the evidence and obtain the all-round scanning path through the built-in algorithm. S102. When the collaborative robot (1) starts to move along the calculated scanning path, and the physical evidence collection component (6) takes pictures and records them according to different spectra, the fluorescent photos presented under each spectrum are fully stitched together, and all the suspicious information on the physical evidence is imaged on the same stitched combination photo. S103. Perform software AI intelligent recognition on the abnormal information in the photos taken in step S102, and classify the recognition type into semen stains, sweat stains, bloodstains, other biological stains, or non-biological stains, and give the probability. S104. For special abnormal areas, further targeted multi-magnification and rescanning are performed at different heights and magnifications to re-scan and photograph the images, and AI intelligent recognition is used to identify and judge the images at a certain high-definition magnification.

10. The method for collecting physical evidence according to claim 9, characterized in that, When using MIC mode, the main steps include: S201. After selecting MIC mode, the collaborative robot (1) will directly lower its height at the suspicious location and the system will switch to MIC mode. S202. First, perform automatic search and synchronous photography at a lower magnification. The system operation steps are the same as steps S102 to S104. After confirming the specific location again, high-definition high-magnification magnified imaging can be performed to examine the details.

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