Apparatus and method of security video management based on access attempt event detection

Abstract

A security video management device based on detection of an entry attempt event is disclosed, comprising: a shooting module that captures the inside and outside of a store in real time to acquire security video; and a processor that performs a process for managing the security video based on whether an event occurs inside or outside the store; wherein the processor detects the occurrence of the event, extracts the security video acquired for a preset time period based on the time of detection of the event as an event video, and stores the extracted event video by matching it with information related to the occurrence of the event.

Description

Technology Field

[0001] The present disclosure relates to a security video management device and method, and more specifically, to a security video management device and method based on the detection of an event of an attempt to enter or exit a store. Background Technology

[0002] As the operation of unmanned stores and facilities becomes more widespread, the need for effective security management and access control is rapidly increasing. In particular, for stores operating 24 hours a day without staff, a safe and reliable remote access management and security monitoring system is absolutely necessary.

[0003] Meanwhile, conventional unmanned access control technology based on telephone authentication has primarily focused on basic access control functions. These systems operated by automatically opening doors when a user called a specific phone number, but they had a fundamental limitation in that they were restricted to simple access authorization.

[0004] In addition, most existing CCTV security video systems have been operated using a 24-hour continuous recording method. However, this continuous recording method has two problems: first, it requires a massive amount of storage space, leading to excessively high maintenance costs. In actual unmanned store environments, even though the time during which actual entry and exit events occur accounts for only a tiny fraction of the total operating time, there may be inefficiency in having to store all footage, including meaningless empty spaces.

[0005] Second, finding footage from the moment a specific event or incident occurred involves the cumbersome process of administrators having to manually review hours or tens of hours of vast video data. This can act as a practical problem that hinders rapid post-event response or evidence collection, and can lead to critical delays, particularly in emergency situations.

[0006] Third, existing systems had a structural limitation in that access control and security video management functions operated independently, making it impossible to systematically link and manage video footage related to actual access attempts. For example, there were difficulties in immediately verifying the video at the exact moment of an access attempt via phone authentication or in integrating and managing such footage together with access-related information.

[0007] Due to the limitations of these conventional technologies, there is a need for a new technological solution that can efficiently link and manage entry events and security footage in unmanned store environments while simultaneously satisfying storage space efficiency and post-management convenience. Prior art literature

[0008] Registered Patent 10-2463494 (November 04, 2022) The problem to be solved

[0009] The embodiments disclosed in this disclosure disclose an apparatus and method for efficiently managing security images by detecting entry attempt events.

[0010] The problems that this disclosure aims to solve are not limited to those mentioned above, and other unmentioned problems will be clearly understood by a person skilled in the art from the description below. means of solving the problem

[0011] An apparatus according to the present disclosure for achieving the aforementioned technical objectives comprises: a shooting module that captures the inside and outside of a store in real time to acquire security images; and a processor that performs a process for managing security images based on whether an event occurs inside or outside the store; wherein the processor detects the occurrence of the event, extracts the security images acquired for a preset time period based on the time of detection of the event as event images, and stores the extracted event images by matching them with information related to the occurrence of the event.

[0012] Meanwhile, the system further includes a communication module that receives entry request information based on a phone call from a telephone server requesting entry to the store, and the processor can detect the occurrence of the event upon receiving the entry request information.

[0013] Additionally, the system further includes a sensor module that detects whether the entrance door of the store is open or closed, generates sensor data, and provides the sensor data to the processor; and the processor can detect the occurrence of the event based on the provision of the sensor data.

[0014] In addition, the processor can temporarily store the security video in segments corresponding to a preset buffer time interval, and when the occurrence of the event is detected, extract the segments of the security video temporarily stored during the buffer time before and after the time of detection of the event as the event video.

[0015] In addition, the processor may extract a thumbnail frame among a plurality of frames of the event video according to a preset thumbnail extraction criterion, generate a list of the stored event video using the extracted thumbnail frame, and display the list through a UI.

[0016] Meanwhile, the method according to the present disclosure is a security video management method based on detection of an entry attempt event performed by a device, comprising: a step of acquiring a security video by photographing the inside and outside of a store in real time; a step of detecting the occurrence of an event attempting to enter the store; a step of extracting the security video acquired for a preset time period based on the time of detection of the occurrence of the event as an event video; and a step of storing the extracted event video by matching it with information related to the occurrence of the event.

[0017] Additionally, the step of detecting the occurrence of the above event may include: receiving entry request information based on a phone call from a telephone server requesting entry to the store by a user; and detecting the occurrence of the above event upon receiving the entry request information.

[0018] Additionally, the step of detecting the occurrence of the above event may include: a step of generating sensor data by detecting whether the entrance door of the store is open or closed; and a step of detecting the occurrence of the above event according to the sensor data.

[0019] Additionally, the extraction step may include: a step of temporarily storing the security image in segments corresponding to a preset buffer time interval; and, when the occurrence of the event is detected, a step of extracting the segments of the security image temporarily stored during the buffer time before and after the time of detection of the event as the event image.

[0020] Additionally, the method may further include a step of displaying a UI for providing the stored event video; wherein the displaying step may include: a step of extracting a thumbnail frame according to a preset thumbnail extraction criterion among a plurality of frames of the event video; a step of generating a list of the stored event video using the extracted thumbnail frame; and a step of displaying the list through the UI.

[0021] In addition to this, a computer program stored on a computer-readable recording medium for executing the present disclosure may be further provided.

[0022] In addition, a computer-readable recording medium for recording a computer program for executing a method for implementing the present disclosure may be further provided. Effects of the invention

[0023] According to the aforementioned means for solving the problem of the present disclosure, by managing security video based on the detection of entry attempt events in an unmanned store, storage space can be used efficiently and an administrator can be assisted in managing the store, and the effect of improving accuracy and reliability in data collection from security video can be expected.

[0024] The effects of the present disclosure are not limited to those mentioned above, and other unmentioned effects will be clearly understood by a person skilled in the art from the description below. Brief explanation of the drawing

[0025] FIG. 1 is a conceptual diagram of a system according to one embodiment of the present disclosure. Figure 2 is a control block diagram of the device shown in Figure 1. FIG. 3 is a flowchart of a security image management method according to one embodiment of the present disclosure. FIG. 4 is a drawing for explaining the state in which a shooting module is installed according to one embodiment of the present disclosure. Figure 5 is a diagram illustrating step S300 shown in Figure 3. FIGS. 6 and FIGS. 7 are examples of UI screens according to the present disclosure. Specific details for implementing the invention

[0026] Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and general content in the art to which this disclosure pertains or content that overlaps between embodiments is omitted. The terms 'part, module, component, block' as used in the specification may be implemented in software or hardware, and depending on the embodiments, a plurality of 'parts, modules, components, blocks' may be implemented as a single component, or a single 'part, module, component, block' may include a plurality of components.

[0027] Throughout the specification, when a part is described as being "connected" to another part, this includes not only cases where they are directly connected but also cases where they are indirectly connected, and indirect connections include connections made via a wireless communication network.

[0028] Furthermore, when it is stated that a part "includes" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0029] Throughout the specification, when it is stated that a component is located "on" another component, this includes not only cases where a component is in contact with another component, but also cases where another component exists between the two components.

[0030] The terms first, second, etc. are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0031] Singular expressions include plural expressions unless there is an obvious exception in the context.

[0032] In each step, identification codes are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context.

[0033] The operating principles and embodiments of the present disclosure will be described below with reference to the attached drawings.

[0034] In this specification, the term "device according to the present disclosure" includes all various devices capable of performing computational processing and providing results to a user. For example, the device according to the present disclosure may include all of a computer, a server device, and a portable terminal, or may be in the form of any one of these.

[0035] Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

[0036] The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0037] The above portable terminal may include, for example, all types of handheld-based wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminals, smartphones, etc., as well as wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMDs).

[0038] Functions related to artificial intelligence according to the present disclosure are operated through a processor and memory. The processor may be composed of one or more processors. In this case, the one or more processors may be general-purpose processors such as CPUs, APs, and DSPs (Digital Signal Processors), graphics-dedicated processors such as GPUs and VPUs (Vision Processing Units), or artificial intelligence-dedicated processors such as NPUs. The one or more processors control the processing of input data according to predefined operation rules or artificial intelligence models stored in memory. Alternatively, if the one or more processors are artificial intelligence-dedicated processors, the artificial intelligence-dedicated processors may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0040] FIG. 1 is a conceptual diagram of a system according to one embodiment of the present disclosure.

[0041] Referring to FIG. 1, a system (1) according to one embodiment of the present disclosure may include a device (100) and a user terminal (200).

[0042] The device (100) can provide a security video management service according to the present disclosure.

[0043] The security video management service according to the present disclosure detects the occurrence of an event attempting to enter a store, extracts a segment of the security video based on the detection of the event, and provides the extracted security video so that an administrator can view and manage it. In this embodiment, the security video may be video captured in real time inside and outside the store. A detailed explanation regarding this will be provided later.

[0044] The user terminal (200) can be connected to the device (100) via a network and can receive an unmanned access control management service according to the present disclosure through the device (100).

[0045] For example, the user terminal (200) is a terminal possessed by the manager of the store, and may access a website or install an application to receive the service according to the present disclosure. The user terminal (200) may exchange data through the website or the application.

[0046] The system (1) according to one embodiment of the present disclosure can efficiently utilize storage space by managing security images based on the detection of entry attempt events in an unmanned store, and can assist the manager in managing the store, and can expect the effect of improving accuracy and reliability in collecting data from security images.

[0048] Figure 2 is a control block diagram of the device shown in Figure 1.

[0049] Referring to FIG. 2, a device (100) according to one embodiment of the present disclosure may include a processor (110), a communication module (120), a memory (130), a shooting module (150), and a sensor module (160).

[0050] The components illustrated in FIG. 2 are not essential for implementing the device (100) according to the present disclosure, so the device (100) described in this specification may have more or fewer components than the components listed above.

[0051] The processor (110) can perform a process for providing a security video management service according to the present disclosure.

[0052] The processor (110) may be implemented with a memory that stores data for an algorithm or a program that reproduces the algorithm for controlling the operation of components within the device, and at least one processor (not shown) that performs the aforementioned operation using the data stored in the memory. In this case, the memory and the processor may each be implemented as separate chips. Alternatively, the memory and the processor may be implemented as a single chip.

[0053] In addition, the processor (110) may control one or more of the components described above in combination to implement various embodiments according to the present disclosure described in the drawings below on the device.

[0054] For example, the processor (110) detects the occurrence of an event attempting to enter the store, extracts the security video acquired for a preset time based on the time of detection of the event as an event video, and can store the extracted event video by matching it with information related to the occurrence of the event.

[0055] In addition, the processor (110) can detect the occurrence of the event upon receiving access request information through the communication module (120).

[0056] In addition, the processor (110) can detect the occurrence of the event according to the provision of sensor data from the sensor module (160) in claim 1.

[0057] Additionally, the processor (110) can temporarily store the security video in sections corresponding to a preset buffer time interval, and when the occurrence of the event is detected, it can extract the sections of the security video temporarily stored during the buffer time before and after the time of detection of the event as the event video.

[0058] Additionally, the processor (110) extracts a thumbnail frame according to a preset thumbnail extraction criterion among a plurality of frames of the event video, generates a list of the stored event video using the extracted thumbnail frame, and can display the list through a UI.

[0059] The communication module (120) may include one or more components that enable communication with an external device, and may include, for example, at least one of a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0060] The wired communication module may include various wired communication modules such as a Local Area Network (LAN) module, a Wide Area Network (WAN) module, or a Value Added Network (VAN) module, as well as various cable communication modules such as USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), DVI (Digital Visual Interface), RS-232 (recommended standard 232), power line communication, or POTS (plain old telephone service).

[0061] In addition to Wi-Fi modules and WiBro (Wireless broadband) modules, the wireless communication module may include wireless communication modules that support various wireless communication methods such as GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (universal mobile telecommunications system), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G.

[0062] The wireless communication module may include a wireless communication interface comprising an antenna and a transmitter that transmit a mobile communication signal. Additionally, the wireless communication module may further include a signal conversion module that modulates a digital control signal output from the processor (110) through the wireless communication interface into an analog wireless signal under the control of the processor (110).

[0063] A short-range communication module is for short-range communication and can support short-range communication by using at least one of Bluetooth™, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technologies.

[0064] The location information module is a module for obtaining the location (or current location) of the device according to the present disclosure, and representative examples thereof include a Global Positioning System (GPS) module or a Wireless Fidelity (WiFi) module. For example, if a GPS module is utilized, the location of the device can be obtained using signals sent from GPS satellites. As another example, if a Wi-Fi module is utilized, the location of the device can be obtained based on information from a Wireless Access Point (AP) that transmits or receives wireless signals from the Wi-Fi module. If necessary, the location information module may perform any of the functions of other modules of the communication unit to obtain data regarding the location of the device, either substituted or additionally. The location information module is a module used to obtain the location (or current location) of the device, and is not limited to a module that directly calculates or obtains the location of the device.

[0065] The memory (130) can store data supporting various functions of the device and programs for the operation of the processor (110), and can store input / output data, and can store a number of application programs (or applications) running on the device, data for the operation of the device, and instructions. At least some of these application programs can be downloaded from an external server via wireless communication.

[0066] Such memory (130) may include at least one type of storage medium among flash memory type, hard disk type, SSD type (Solid State Disk type), SSD type (Silicon Disk Drive type), multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), RAM (random access memory; RAM), SRAM (static random access memory), ROM (read-only memory; ROM), EEPROM (electrically erasable programmable read-only memory), PROM (programmable read-only memory), magnetic memory, magnetic disk, and optical disk. Additionally, the memory (130) may be a database that is separated from the device but connected via wired or wireless connection.

[0067] The shooting module (150) can capture the inside and outside of the store to obtain real-time security video.

[0068] For example, the shooting module (150) may include a high-resolution digital camera, a lens system, an image sensor, and an image processing circuit.

[0069] The sensor module (160) senses at least one of internal information of the device, surrounding environment information surrounding the device, and user information, and generates sensor data corresponding thereto. Based on this sensor data, the processor (110) can control the operation or function of the device, or perform data processing, functions, or operations related to an application installed on the device.

[0070] The sensor module (160) described above may include at least one of a proximity sensor, an illumination sensor, a touch sensor, an acceleration sensor, a magnetic sensor, a gravity sensor (G-sensor), a gyroscope sensor, a motion sensor, an RGB sensor, an infrared sensor (IR sensor: infrared sensor), a fingerprint sensor, an ultrasonic sensor, an optical sensor (e.g., a camera), a microphone, an environmental sensor (e.g., including at least one of a barometer, a hygrometer, a thermometer, a radiation detection sensor, a heat detection sensor, a gas detection sensor), and a chemical sensor (e.g., a healthcare sensor, a biometric sensor, etc.). Meanwhile, the device may combine and utilize information sensed from at least two of these sensors.

[0071] In this embodiment, the sensor module (160) can detect whether the entrance door of the store is open or closed, generate sensor data, and provide the sensor data to the processor (110).

[0072] At least one component may be added or removed in response to the performance of the components shown in FIG. 2. Additionally, it will be readily understood by those skilled in the art that the relative positions of the components may be changed in response to the performance or structure of the system.

[0073] Meanwhile, each component illustrated in Figure 2 refers to a software and / or hardware component such as a Field Programmable Gate Array (FPGA) and an Application Specific Integrated Circuit (ASIC).

[0075] FIG. 3 is a flowchart of a security image management method according to one embodiment of the present disclosure.

[0076] A method according to one embodiment of the present disclosure can be performed by the device (100) shown in FIG. 2.

[0077] Referring to FIG. 3, a method according to one embodiment of the present disclosure may include the step (S100) of the processor (110) acquiring a security image through a shooting module (150), the step (S200) of detecting an event attempting to enter a store, the step (S300) of extracting an event image from the security image, and the step (S400) of providing the extracted event image.

[0078] The processor (110) can obtain security video footage of the inside and outside of the store in real time through the shooting module (150) (S100). In this regard, FIG. 4 will be used as an example to explain.

[0079] FIG. 4 is a drawing for explaining the state in which a shooting module is installed according to one embodiment of the present disclosure.

[0080] Referring to FIG. 4, the shooting module (150) can be installed by setting the area (A) including the door (D) as the shooting range. Preferably, the shooting module (150) can be installed in a location where it can clearly capture the relevant person and situation when an entry / exit event occurs.

[0081] The processor (110) can manage real-time security images obtained through these shooting modules (150) by applying a circular buffer system.

[0082] For example, the processor (110) can temporarily store real-time security video acquired from the shooting module (150) by dividing it into segments according to a preset buffer time interval. The buffer time interval may be set to 5 seconds, but is not limited thereto and may be set considering system performance and storage capacity. The processor (110) can store each buffer segment of the security video in a circular buffer area within the memory (130). The circular buffer area can efficiently manage storage space by automatically deleting the oldest segment whenever a new segment is stored.

[0083] The processor (110) can detect an event attempting to enter or exit the store (S200).

[0084] The processor (110) can detect an event using at least one of access request information based on a phone call, sensor data regarding whether the door is open or closed, and real-time security video.

[0085] For example, the processor (110) can detect the occurrence of an event by receiving access request information received through the communication module (120). At this time, the access request information may be transmitted from an external telephone server and may include metadata such as a phone number, time of arrival, and duration of the call.

[0086] Meanwhile, when the processor (110) receives access request information, it not only detects an access attempt event but also determines whether it is a legitimate access attempt by comparing it with a pre-registered list of allowed phone numbers, and classifies the access attempt event into a normal access attempt event and an abnormal access attempt event according to the result of the determination.

[0087] Additionally, the processor (110) can detect the occurrence of an event through sensor data provided via the sensor module (160). At this time, the sensor data may be data generated from the open / closed state of the door by at least one of a magnetic sensor, a proximity sensor, and a pressure sensor.

[0088] Meanwhile, the processor (110) not only detects entry / exit attempt events from sensor data regarding the open / closed state, but also analyzes the change pattern of the sensor data to distinguish between normal entry and abnormal entry, and classifies entry / exit attempt events into normal entry / exit attempt events and abnormal entry / exit attempt events.

[0089] Additionally, the processor (110) can detect the occurrence of an event by analyzing real-time security video acquired from the shooting module (150) and detecting an object attempting to enter the store. The processor (110) can detect an object attempting to enter the store by applying a deep learning model of the YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), or R-CNN family to the real-time security video to perform motion detection, object detection, and behavior pattern analysis.

[0090] Meanwhile, the processor (110) may detect the occurrence of an event by utilizing all of the access request information based on the incoming call, sensor data regarding whether the door is open or closed, and real-time security video. For example, the processor (110) can significantly reduce the false detection rate compared to a single data-based system by detecting that an event has occurred only when sensor data regarding the opening or closing of the door or movement within the video is detected within a certain period of time after the incoming call is detected.

[0091] Meanwhile, in this embodiment, the event is not limited to an event of attempting to enter or exit a store, and may be extended to various types of events, such as motion detection within a specific area, object recognition, and detection of previously stored abnormal behavior.

[0092] For example, the processor (110) can detect that an event has occurred inside or outside the store when it detects movement in a designated specific area in the security video, recognizes an object, or recognizes a previously stored abnormal behavior.

[0093] When the processor (110) detects an event (S200), it can extract an event image from the security image (S300). This will be explained with reference to FIG. 5.

[0094] Figure 5 is a diagram illustrating step S300 shown in Figure 3.

[0095] Referring to FIG. 5, the processor (110) can temporarily store the security video by dividing it into sections (t1, t2, t3) according to a preset buffer time (e.g., 5 seconds) as described above.

[0096] When the processor (110) detects the occurrence of an event, it can extract buffer sections (t1, t2) before and after the time of the event occurrence (E) as an event image. That is, as can be seen in FIG. 5, the processor (110) can generate an event image by extracting buffer sections (t1) before and after the time of the event occurrence (E) and buffer sections (t2).

[0097] Meanwhile, the processor (110) can dynamically adjust the number of buffer sections extracted according to the type or importance of the event. For example, in the case of a normal entry / exit attempt event, the processor (110) can extract one section before and after the time of the entry / exit attempt event (E), and in the case of an abnormal entry / exit attempt event, it can extract three sections before and after the time of the entry / exit attempt event (E).

[0098] Meanwhile, the processor (110) can set an event detection time (e.g., 10 seconds) from the time of event occurrence (E) and check whether additional events occur during the event detection time. If additional events occur during the event detection time, the processor (110) can extract an event video up to the buffer section (t3) after the time of additional events (E'), in addition to the buffer section (t1) before the time of event occurrence (E) and the buffer section (t2) after.

[0099] Meanwhile, the processor (110) may operate the buffer system in a multi-layer structure. For example, the first buffer may store high-resolution original images for a short period (e.g., 1 minute), and the second buffer may store compressed images for a medium period (e.g., 1 hour). When an event occurs, the processor (110) may extract high-resolution event images from the first buffer and obtain additional context information from the second buffer.

[0100] Alternatively, the processor (110) can store a video of the outside of the store in a first buffer for a short period and a video of the inside of the store in a second buffer for a long period, and when an event occurs, extract an event video from the first buffer and extract an event video from the second buffer according to the request of the manager who checked the event video, thereby expecting an effect of efficient utilization of storage resources.

[0101] The processor (110) can match the extracted event image with information related to the occurrence of the event and provide it (S400).

[0102] Information related to the occurrence of an event may include basic event information, telephone-related information, sensor-related information, and video-related information. Basic event information may include a unique event ID, date and time of occurrence, event type (incoming call, door opening, door closing, motion detection, etc.), duration, severity level, etc. Telephone-related information may include a phone number, time of incoming call, call duration, originating region, carrier information, etc. Sensor-related information may include sensor type, detection value, sensor location, battery status, signal strength, etc. Video-related information may include a file path, file size, resolution, frame rate, compression format, checksum, etc.

[0103] The processor (110) can provide event video and related information through the UI. This will be explained with reference to FIGS. 6 and FIGS. 7.

[0104] FIGS. 6 and FIGS. 7 are examples of UI output screens according to the present disclosure.

[0105] Referring to FIG. 6, the processor (110) can display event video (V) and event occurrence related information (I) in a list form through the UI. At this time, the event video (V) in the list is displayed as a thumbnail so that the user can grasp the content at a glance.

[0106] For example, the processor (110) can extract a thumbnail frame from among multiple frames of an event video according to a pre-set thumbnail extraction criterion. The thumbnail extraction criterion allows the thumbnail to be selected by comprehensively considering the sharpness, brightness, contrast, object detection results, etc. of the frame.

[0107] Information related to the occurrence of events (I) may display a summary of key information for each event, such as the type of event (door open, door closed, phone authentication), the number of times the event occurred in the event video, etc.

[0108] Referring to FIG. 7, when any event video (V) is selected from a list such as FIG. 6, the page may be switched to a screen playback area and a detail information area. The screen playback area may provide standard media player control functions for the event video (V), and the detail information area may display information (I) related to the occurrence of the event.

[0110] Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. The instructions may be stored in the form of program code and, when executed by a processor, may generate a program module to perform the operation of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0111] Computer-readable recording media include all types of recording media that store instructions that can be decoded by a computer. Examples include ROM (Read Only Memory), RAM (Random Access Memory), magnetic tape, magnetic disk, flash memory, optical data storage devices, etc.

[0112] As described above, the disclosed embodiments have been explained with reference to the attached drawings. Those skilled in the art will understand that the present disclosure may be practiced in forms different from the disclosed embodiments without changing the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be interpreted restrictively. Explanation of the symbols

[0114] 1: Security Video Management System 10: Telephone server 100: Device 200: User terminal

Claims

Claim 1 A security video management device based on detection of an entry attempt event, comprising: a shooting module that captures the inside and outside of a store in real time to acquire security video; and a processor that performs a process for managing the security video based on whether an event occurs inside or outside the store; wherein the processor divides the security video into sections according to a preset buffer time interval and temporarily stores it, detects the occurrence of the event, classifies the event as a general entry attempt event or an abnormal entry attempt event based on a change pattern of sensor data regarding the phone number of the received entry request information or the opening / closing status of the door, extracts the security video acquired for a preset time based on the time of detection of the event as an event video, dynamically adjusts the number of buffer sections extracted before and after the time of detection of the event according to the type of classified event, stores the extracted event video by matching it with information related to the occurrence of the event, and, if an additional event occurs during the event detection time set from the time of detection of the event, extends the event video to include the buffer section after the time of detection of the additional event in addition to the buffer section before and after the time of detection of the event, thereby extracting the event video. Claim 2 A security video management device based on entry attempt event detection, wherein, in claim 1, it further includes a communication module that receives entry request information based on a phone call from a telephone server requesting entry to the store by a user; and the processor detects the occurrence of the event upon receiving the entry request information. Claim 3 A security video management device based on entry attempt event detection, wherein, in claim 1, it further includes a sensor module that detects whether the entrance door of the store is open or closed, generates sensor data, and provides the sensor data to the processor, and the processor detects the occurrence of the event according to the provision of the sensor data. Claim 4 delete Claim 5 A security video management device based on entry attempt event detection according to claim 1, wherein the processor extracts a thumbnail frame among a plurality of frames of the event video according to a preset thumbnail extraction criterion, generates a list of the stored event video using the extracted thumbnail frame, and displays the list through a UI. Claim 6 A security video management method based on detection of entry attempt events performed by a device comprises: a step of acquiring security video by capturing the inside and outside of a store in real time; a step of detecting the occurrence of an event attempting to enter the store; a step of extracting the security video acquired for a preset time period based on the time of detection of the event as an event video; and a step of storing the extracted event video by matching it with information related to the occurrence of the event; wherein the detection step comprises a step of classifying the event as a general entry attempt event or an abnormal entry attempt event based on the phone number of the received entry request information or the change pattern of sensor data regarding the opening and closing status of the door; and the extraction step comprises a step of temporarily storing the security video by dividing it into sections according to a preset buffer time interval; and a step of dynamically adjusting the number of buffer sections extracted before and after the time of detection of the event according to the type of classified event. A security video management method based on detection of entry attempt events, comprising: a step of, when an additional event occurs during an event detection time set from the event occurrence detection time, extending the event video to include a buffer section after the additional event occurrence time in addition to the buffer section before and after the event occurrence detection time and extracting the event video. Claim 7 A security video management method based on detection of an entry attempt event, wherein, in claim 6, the step of detecting the occurrence of the above event comprises: receiving entry request information based on a phone call from a telephone server requesting entry to the store by a user; and detecting the occurrence of the above event upon receiving the entry request information. Claim 8 A security video management method based on detection of entry attempt events, wherein the step of detecting the occurrence of the above event in claim 6 comprises: a step of detecting whether the entrance door of the store is open or closed and generating sensor data; and a step of detecting the occurrence of the above event according to the sensor data. Claim 9 delete Claim 10 A security video management method based on entry attempt event detection according to claim 6, further comprising the step of displaying a UI for providing the stored event video; wherein the displaying step comprises: a step of extracting a thumbnail frame according to a preset thumbnail extraction criterion among a plurality of frames of the event video; a step of generating a list of the stored event video using the extracted thumbnail frame; and a step of displaying the list through the UI.

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