Intelligent identity recognition system based on infrared coding and decoding

Abstract

The invention discloses an intelligent identity recognition system based on infrared coding and decoding, and the system employs a distributed architecture design, and comprises a control end which is used for dynamically customizing a coding instruction for identity recognition, and transmitting the coding instruction to an infrared beacon end and a calculation end; the infrared beacon end is used for receiving and analyzing the coding instruction from the control end and displaying different identity information of a carrier, namely a target, where the infrared beacon end is located through an infrared lamp stroboscopic signal; the observation end is used for capturing an infrared stroboscopic video stream of an area where the target is located and transmitting the infrared stroboscopic video stream to the calculation end in real time; the calculation end is used for carrying out feature analysis on the infrared stroboscopic video stream to obtain an analyzed coding instruction, and carrying out comparative analysis on the analyzed coding instruction and the coding instruction transmitted by the control end to realize identity recognition; and the display end is used for visually presenting the identity recognition result. According to the method, through multi-dimensional infrared coding feature recognition and intelligent algorithm verification, the accuracy of friend recognition in the night environment is remarkably improved, the misjudgment risk is effectively reduced, and meanwhile the real-time performance and the concealment performance of system response are kept.

Description

Technical Field

[0001] This invention belongs to the field of identity recognition technology, specifically an intelligent identity recognition system based on infrared encoding and decoding. Background Technology

[0002] Identity verification is of great significance for public safety. Currently, identity verification methods mainly rely on two types of elements: knowledge-based identity verification, the most typical method being the use of a "username + password" combination, where users verify their identity by remembering a specific, pre-set string; and possession-based identity verification, which verifies identity by possessing a specific physical entity, such as a physical ID card, access card, bank USB key, dynamic token, or electronic identification code. Although these traditional methods are widely used, they have many inherent drawbacks and security risks: they are easily stolen and forged; passwords can be easily stolen through keylogging, phishing, or brute-force attacks; physical documents, cards, and tokens are at risk of being lost, stolen, or physically copied; similarly, the loss or damage of physical tokens or documents will directly lead to identity verification failure, affecting normal use; and possession-based methods are "card-based, not person-based," making it impossible to confirm whether the current user is the legitimate holder. At the same time, technological advancements have provided new pathways for solutions: the development of miniature sensors, multimodal data fusion technology, and artificial intelligence algorithms has made it possible to integrate diverse information such as visual images, infrared features, radio frequency signals, and even biometrics. Through real-time data acquisition, cross-validation, and intelligent analysis, recognition accuracy and anti-interference capabilities can be significantly improved. Summary of the Invention

[0003] The purpose of this invention is to address the problems and technological advancements of the existing technology by providing an intelligent identity recognition system based on infrared encoding and decoding. This system achieves rapid and reliable nighttime identity identification through near-infrared band stroboscopic encoding technology. Based on the infrared detection devices of various equipment, this invention designs a dynamic emission device with adjustable infrared features. By recognizing the dynamic infrared features identified by the infrared detection device and performing intelligent algorithm recognition at the detection end, rapid and highly reliable identity recognition is achieved.

[0004] The technical solution to achieve the purpose of this invention is: an intelligent identity recognition system based on infrared encoding and decoding. The system adopts a distributed architecture design, including a control terminal, an infrared beacon terminal, an observation terminal, a computing terminal, and a display terminal.

[0005] The control terminal is used to dynamically customize the encoding instructions for identity recognition and transmit them to the infrared beacon terminal and the computing terminal.

[0006] The infrared beacon terminal is used to receive and parse coded instructions from the control terminal, and to display different identity information of the target carrier where the infrared beacon terminal is located through infrared light flashing signals.

[0007] The observation terminal is used to capture the infrared stroboscopic video stream of the target area and transmit it to the computing terminal in real time;

[0008] The computing terminal is used to perform feature analysis on the infrared strobe video stream, obtain the analyzed encoded instructions, and compare and analyze them with the encoded instructions transmitted by the control terminal to achieve identity recognition.

[0009] The display terminal is used to visually present the identity recognition results.

[0010] Furthermore, the control terminal defines custom encoding instructions that follow the encoding / decoding protocols shown in Table 1 below:

[0011] Table 1 Encoding / Decoding Protocols

[0012]

[0013] (1) Function code: Occupies one byte and represents the specific function of the encoded instruction. Different function codes correspond to different functions.

[0014] (2) Time code: This is an information code containing the current time. If the time code received by the infrared beacon and the computing end is inconsistent with the time information stored in itself, it means that the strobe code of the lamp needs to be replaced.

[0015] (3) Frequency code: contains the frequency information of the infrared lamp that needs to be set;

[0016] (4) Action Code: The code name for the current action;

[0017] (5) Data length: The length of subsequent custom data;

[0018] (6) Other information: Subsequent custom data types;

[0019] (7) Error checking: used to detect or check errors that may occur after data transmission or storage.

[0020] Furthermore, the control terminal synchronizes the encoded instructions to the computing terminal and the infrared beacon terminal via WiFi / Bluetooth wireless communication protocol.

[0021] Furthermore, the infrared beacon terminal uses a near-infrared light source and is configured as a multi-directional near-infrared light source array to form a light field with 360° horizontal coverage and 90° elevation coverage.

[0022] Furthermore, the infrared beacon terminal includes a base and a lampshade covering the base and forming a closed cavity with the base. A near-infrared light source array is built into the closed cavity. A control circuit board, a lithium battery module, and a heat dissipation device are embedded in the base. The lithium battery module provides continuous power to the system. The control circuit board is equipped with a WiFi / Bluetooth dual-mode communication module, a drive circuit, and a control circuit. The WiFi / Bluetooth dual-mode communication module receives and parses coded commands sent by the control terminal. The control circuit generates corresponding light-on / off control signals based on the parsing results of the coded commands and transmits them to the drive circuit. The drive circuit controls the conduction state of all near-infrared light sources in the near-infrared light source array based on the received light-on / off control signals, generating corresponding infrared lamp flicker signals.

[0023] Furthermore, the observation end uses a low-light night vision sight to capture the infrared stroboscopic video stream of the target area.

[0024] Furthermore, the computing terminal includes:

[0025] The first-level identification and processing unit is used to locate and track the target;

[0026] The second-level identification and processing unit is used to decode the infrared light flash signal of the target to obtain the parsed encoded instructions.

[0027] Furthermore, the first-level recognition and processing unit completes the target localization and tracking based on the YOLOv5 target detection framework.

[0028] Furthermore, identity verification is achieved by comparing and analyzing the encoded instructions transmitted from the control terminal, specifically as follows:

[0029] If the parsed encoded instructions are the same as the encoded instructions transmitted by the control terminal, it indicates that the target is a friendly target; otherwise, the target is a suspicious target.

[0030] Furthermore, the display terminal is used to visually present the identity recognition results, specifically including: overlaying a green identification box on the confirmed friendly targets in the infrared strobe video stream, marking suspicious targets with abnormal code matching with a red warning box, and generating a structured log for subsequent review.

[0031] Compared with the prior art, the significant advantages of this invention are:

[0032] (1) This invention significantly improves the accuracy of friendly identification in nighttime environments by using multi-dimensional infrared coding feature recognition and intelligent algorithm verification, effectively reducing the risk of misjudgment, while maintaining the real-time and covert nature of the system response.

[0033] (2) It uses near-infrared light to achieve transmission that is invisible to the human eye, and has both anti-environmental interference capability and high concealment.

[0034] (3) The identity recognition process of this invention adopts a passive response working mechanism, which triggers the beacon response mechanism through friendly observation equipment to reduce the identification steps; and through variable infrared coding technology combined with intelligent recognition algorithm, it supports the simultaneous identification and verification of multiple observation targets.

[0035] (4) The present invention can implement a dynamic coding strategy, dynamically adjust the coding parameters according to the action number, law enforcement scenario or time period, and has a rich number of coding combinations to adapt to the identification of multiple identities.

[0036] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of an intelligent identity recognition system based on infrared encoding and decoding in one embodiment.

[0038] Figure 2 This is an exploded view of the infrared beacon terminal in one embodiment.

[0039] Figure 3 This is a hardware block diagram of the infrared beacon terminal in one embodiment.

[0040] Figure 4 This is a flowchart of an identity recognition scheme based on infrared encoding and decoding in one embodiment. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0042] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0043] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0044] In one embodiment, combined Figure 1 This paper presents an intelligent identity recognition system based on infrared encoding and decoding. The system adopts a distributed architecture design, including a control terminal, an infrared beacon terminal, an observation terminal, a computing terminal, and a display terminal.

[0045] The control terminal is used to dynamically customize the encoding instructions for identity recognition and transmit them to the infrared beacon terminal and the computing terminal; here, the encoding instructions are a composite identification parameter encoding including timestamp, strobe frequency (supporting dynamic adjustment from 5-15Hz), action number and other parameters.

[0046] The infrared beacon terminal is used to receive and parse coded instructions from the control terminal, and to display different identity information of the target carrier where the infrared beacon terminal is located through infrared light flashing signals.

[0047] The observation terminal is used to capture the infrared stroboscopic video stream of the target area and transmit it to the computing terminal in real time;

[0048] The computing terminal is used to perform feature analysis on the infrared strobe video stream, obtain the analyzed encoded instructions, and compare and analyze them with the encoded instructions transmitted by the control terminal to achieve identity recognition.

[0049] The display terminal is used to visually present the identity recognition results.

[0050] Here, the control terminal can be a tablet, computer, mobile phone, or other similar device.

[0051] Furthermore, in one embodiment, the control terminal defines custom encoding instructions that follow the encoding / decoding protocols shown in Table 2 below:

[0052] Table 2 Encoding / Decoding Protocols

[0053]

[0054] (1) Function code: Occupies one byte and represents the specific function of the encoded instruction. Different function codes correspond to different functions. For example, when not in working state, the function code can be used to set the low power mode, that is, turn off all lights and put Bluetooth into sleep mode; it can also be used to set the power-on mode, set the data modification mode, enter the parameter reading mode, etc.

[0055] (2) Time code: This is an information code containing the current time. If the time code received by the infrared beacon and the computing end is inconsistent with the time information stored in itself, it means that the strobe code of the lamp needs to be replaced.

[0056] (3) Frequency code: contains the frequency information of the infrared light that needs to be set; different frequencies can be modified, such as 5Hz, 10Hz, 15Hz;

[0057] (4) Action Code: The code for the current action, which can be replaced for each different action;

[0058] (5) Data length: The length of subsequent custom data;

[0059] (6) Other information: Subsequent custom data types;

[0060] (7) Error checking: Used to detect or verify errors that may occur after data transmission or storage. Preferably, Cyclic Redundancy Check (CRC) is used, which is a channel coding technique that generates a short, fixed-length checksum based on data such as network packets or computer files.

[0061] Furthermore, in one embodiment, the control terminal synchronizes the encoded instructions to the computing terminal and the infrared beacon terminal via a WiFi / Bluetooth wireless communication protocol.

[0062] Preferably, the infrared beacon uses a near-infrared light source, configured as a multi-directional near-infrared light source array, forming a light field with 360° horizontal coverage and 90° elevation coverage. This wavelength selection takes into account both the invisible characteristics to the human eye and spectral conversion efficiency.

[0063] Combination Figure 2 and Figure 3The infrared beacon unit includes a base and a lampshade that covers the base and forms a closed cavity with the base. A near-infrared light source array mounted on a bracket assembly is built into the closed cavity. The base has an embedded control circuit board, a lithium battery module, and a heat dissipation device. The lithium battery module provides continuous power to the system. The control circuit board includes a WiFi / Bluetooth dual-mode communication module, a drive circuit, and a control circuit. The WiFi / Bluetooth dual-mode communication module receives and parses coded commands sent by the control unit. The control circuit generates corresponding light-on / off control signals based on the parsed coded commands and transmits them to the drive circuit. The drive circuit controls the conduction state of all near-infrared light sources in the near-infrared light source array based on the received light-on / off control signals, generating corresponding infrared light flashing signals.

[0064] Here, the control circuit constructs a closed-loop feedback system based on a WiFi / Bluetooth dual-mode communication module, strictly following the preset coding timing to execute the light on / off actions. Simultaneously, CRC checks and dynamic updates are performed on received commands to ensure real-time matching of signal characteristics and status.

[0065] Preferably, the bracket assembly is made of aluminum alloy, which balances heat dissipation and thinness.

[0066] Preferably, the bottom of the bracket assembly uses Velcro to ensure reliable attachment and quick assembly / disassembly of the device in various usage scenarios.

[0067] Preferably, the drive circuit uses PWM dimming technology to achieve millisecond-level flicker control of near-infrared light.

[0068] Preferably, the WiFi / Bluetooth dual-mode communication module receives encoded instructions sent by the control terminal through a TLS encrypted channel.

[0069] Furthermore, in one embodiment, the observation end uses a low-light night vision sight to capture an infrared strobe video stream of the area where the target is located.

[0070] Furthermore, in one embodiment, the computing end includes:

[0071] The first-level identification and processing unit is used to locate and track the target;

[0072] The second-level identification and processing unit is used to decode the infrared light flash signal of the target to obtain the parsed encoded instructions.

[0073] Preferably, the first-level identification and processing unit completes the target localization and tracking based on the YOLOv5 target detection framework.

[0074] Furthermore, in one embodiment, identity recognition is achieved by comparing and analyzing the encoded instructions transmitted from the control terminal, specifically as follows:

[0075] If the parsed encoded instructions are the same as the encoded instructions transmitted by the control terminal, it indicates that the target is a friendly target; otherwise, the target is a suspicious target.

[0076] Furthermore, in one embodiment, the display end is used to visualize the identity recognition results, specifically including: overlaying a green identification box on the confirmed friendly target in the infrared strobe video stream, marking a red warning box on the suspicious target with abnormal code matching, and generating a structured log for subsequent review.

[0077] In one embodiment, combined Figure 4 This paper provides an intelligent identity recognition method based on infrared encoding and decoding, which includes the following steps:

[0078] Step 1: The control terminal dynamically defines the encoding instructions used for identity recognition and transmits them to the infrared beacon terminal and the computing terminal;

[0079] Step 2: The infrared beacon receives and parses the coded instructions from the control terminal, and displays different identity information of the target carrier where the infrared beacon is located through infrared light flashing signals.

[0080] Step 3: The observation end captures the infrared stroboscopic video stream of the target area and transmits it to the computing end in real time;

[0081] Step 4: The computing end performs feature analysis on the infrared strobe video stream to obtain the analyzed encoded instructions, and compares and analyzes them with the encoded instructions transmitted by the control end to achieve identity recognition;

[0082] Step 5: Visualize the identity recognition results on the display device.

[0083] For specific limitations on each step, please refer to the limitations on the infrared encoding and decoding-based intelligent identity recognition system mentioned above, which will not be repeated here.

[0084] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement:

[0085] Step 1: The control terminal dynamically defines the encoding instructions used for identity recognition and transmits them to the infrared beacon terminal and the computing terminal;

[0086] Step 2: The infrared beacon receives and parses the coded instructions from the control terminal, and displays different identity information of the target carrier where the infrared beacon is located through infrared light flashing signals.

[0087] Step 3: The observation end captures the infrared stroboscopic video stream of the target area and transmits it to the computing end in real time;

[0088] Step 4: The computing end performs feature analysis on the infrared strobe video stream to obtain the parsed encoded instructions, and compares and analyzes them with the encoded instructions transmitted from the control end to achieve identity recognition.

[0089] Step 5: Visualize the identity recognition results on the display device.

[0090] For specific limitations on each step, please refer to the limitations on the infrared encoding and decoding-based intelligent identity recognition system mentioned above, which will not be repeated here.

[0091] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program being implemented when executed by a processor:

[0092] Step 1: The control terminal dynamically defines the encoding instructions used for identity recognition and transmits them to the infrared beacon terminal and the computing terminal;

[0093] Step 2: The infrared beacon receives and parses the coded instructions from the control terminal, and displays different identity information of the target carrier where the infrared beacon is located through infrared light flashing signals.

[0094] Step 3: The observation end captures the infrared stroboscopic video stream of the target area and transmits it to the computing end in real time;

[0095] Step 4: The computing end performs feature analysis on the infrared strobe video stream to obtain the parsed encoded instructions, and compares and analyzes them with the encoded instructions transmitted from the control end to achieve identity recognition.

[0096] Step 5: Visualize the identity recognition results on the display device.

[0097] For specific limitations on each step, please refer to the limitations on the infrared encoding and decoding-based intelligent identity recognition system mentioned above, which will not be repeated here.

[0098] This invention significantly improves the accuracy and response speed of identity recognition in complex law enforcement scenarios at night by organically combining encoding synchronization, multi-source information fusion, and intelligent decision-making algorithms.

[0099] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention without departing from its spirit and scope should be included within the protection scope of the present invention.

Claims

1. An intelligent identity recognition system based on infrared encoding and decoding, characterized in that, The system adopts a distributed architecture design, including a control terminal, an infrared beacon terminal, an observation terminal, a computing terminal, and a display terminal; The control terminal is used to dynamically customize the encoding instructions for identity recognition and transmit them to the infrared beacon terminal and the computing terminal. The infrared beacon terminal is used to receive and parse coded instructions from the control terminal, and to display different identity information of the target carrier where the infrared beacon terminal is located through infrared light flashing signals. The observation terminal is used to capture the infrared stroboscopic video stream of the target area and transmit it to the computing terminal in real time; The computing terminal is used to perform feature analysis on the infrared strobe video stream, obtain the analyzed encoded instructions, and compare and analyze them with the encoded instructions transmitted by the control terminal to achieve identity recognition. The display terminal is used to visually present the identity recognition results.

2. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, The control terminal's custom encoding instructions follow the encoding / decoding protocols shown in Table 1 below: Table 1 Encoding / Decoding Protocols (1) Function code: Occupies one byte and represents the specific function of the encoded instruction. Different function codes correspond to different functions. (2) Time code: This is an information code containing the current time. If the time code received by the infrared beacon and the computing end is inconsistent with the time information stored in itself, it means that the strobe code of the lamp needs to be replaced. (3) Frequency code: contains the frequency information of the infrared lamp that needs to be set; (4) Action Code: The code name for the current action; (5) Data length: The length of subsequent custom data; (6) Other information: Subsequent custom data types; (7) Error checking: used to detect or check errors that may occur after data transmission or storage.

3. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, The control terminal synchronizes the encoded instructions to the computing terminal and the infrared beacon terminal via WiFi / Bluetooth wireless communication protocol.

4. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, The infrared beacon terminal uses a near-infrared light source and is configured as a multi-directional near-infrared light source array to form a light field with 360° horizontal coverage and 90° elevation coverage.

5. The intelligent identity recognition system based on infrared encoding and decoding according to claim 4, characterized in that, The infrared beacon terminal includes a base and a lampshade covering the base and forming a closed cavity with the base. A near-infrared light source array is built into the closed cavity. A control circuit board, a lithium battery module, and a heat dissipation device are embedded in the base. The lithium battery module provides continuous power to the system. The control circuit board is equipped with a WiFi / Bluetooth dual-mode communication module, a drive circuit, and a control circuit. The WiFi / Bluetooth dual-mode communication module receives and parses coded commands sent by the control terminal. The control circuit generates corresponding light-on / off control signals based on the parsing results of the coded commands and transmits them to the drive circuit. The driving circuit is used to control the conduction state of all near-infrared light sources in the near-infrared light source array according to the received light on / off control signal, and generate corresponding infrared light strobe signals.

6. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, The observation end uses a low-light night vision sight to capture the infrared strobe video stream of the target area.

7. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, The computing terminal includes: The first-level identification and processing unit is used to locate and track the target; The second-level identification and processing unit is used to decode the infrared light flash signal of the target to obtain the parsed encoded instructions.

8. The intelligent identity recognition system based on infrared encoding and decoding according to claim 7, characterized in that, The first-level recognition and processing unit completes the target localization and tracking based on the YOLOv5 target detection framework.

9. The intelligent identity recognition system based on infrared encoding and decoding according to claim 1, characterized in that, Identity recognition is achieved by comparing and analyzing the encoded instructions transmitted from the control terminal, specifically as follows: If the parsed encoded instructions are the same as the encoded instructions transmitted by the control terminal, it indicates that the target is a friendly target; otherwise, the target is a suspicious target.

10. The intelligent identity recognition system based on infrared encoding and decoding according to claim 9, characterized in that, The display terminal is used to visualize the identity recognition results, specifically including: overlaying green identification boxes on confirmed friendly targets in the infrared strobe video stream, marking suspicious targets with abnormal code matching with red warning boxes, and generating structured logs for subsequent review.

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