WO2019109855A1 - 摄像装置及其检测启动方法 - Google Patents

摄像装置及其检测启动方法 Download PDF

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Publication number
WO2019109855A1
WO2019109855A1 PCT/CN2018/118246 CN2018118246W WO2019109855A1 WO 2019109855 A1 WO2019109855 A1 WO 2019109855A1 CN 2018118246 W CN2018118246 W CN 2018118246W WO 2019109855 A1 WO2019109855 A1 WO 2019109855A1
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Prior art keywords
picture
camera
recording
preset
main processor
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PCT/CN2018/118246
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English (en)
French (fr)
Inventor
李琳琅
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安克创新科技股份有限公司
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Publication of WO2019109855A1 publication Critical patent/WO2019109855A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/65—Control of camera operation in relation to power supply
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording

Definitions

  • the present invention relates to the field of imaging, and in particular to an imaging device and a detection and activation method thereof.
  • the general practice is to power off or sleep the camera's main processor when no one is present, so that the MCU (Micro Control Unit)
  • the micro-control unit is in a low-power standby state.
  • the PIR (Passive infrared detectors) sensor connected to the MCU performs passive infrared detection. Once the person passes in front of the camera, the PIR sensor will immediately sense and trigger the camera.
  • the main processor starts recording.
  • the shortcoming of this method is that since the principle of the PIR sensor relies on detecting the change of infrared energy of the moving object and the background, the PIR sensor detection of the solution may be inaccurate, such as pets, hot air blowers, and even fluttering leaves. The appearance of the PIR sensor may be triggered, which causes many false alarms, and also causes a lot of unnecessary recordings to waste battery power and ultimately affect the user experience.
  • a method for detecting a startup of a camera device including:
  • the receiving PIR sensor triggers an instruction and collects a picture, including:
  • the camera is controlled to take a picture or capture a picture from the video taken by the camera;
  • the picture collection conditions include the number of pictures taken or captured, the time interval for taking or capturing pictures, taking or taking pictures The order, capture or capture of one or more of the size and pixels of the picture.
  • the image recognition is performed on the collected image, and determining whether a preset object exists in the image includes:
  • controlling the camera to start recording including:
  • the control camera starts the recording according to the preset recording duration or the moving state of the object in the recording;
  • the camera is controlled to stop recording and enter standby.
  • the method includes:
  • the alarm device When the movement of the object in the recording is detected, the alarm device is notified by low power consumption or other preset camera devices are activated.
  • an image pickup apparatus including a main processor, an MCU connected to the main processor, a PIR sensor, a power module connected to the main processor and the MCU, and connected to the main processing a camera, and a wireless module for transmitting a wireless signal;
  • the PIR sensor is connected to the MCU;
  • the wireless module is connected to the power module, the MCU, and the main processor;
  • the main processor receives a PIR sensor trigger instruction and acquires a picture; the PIR sensor trigger instruction is sent by the PIR sensor to the main processor through the MCU;
  • the main processor performs image recognition on the collected image to determine whether there is a preset object in the picture; when there is a preset object in the picture, the control camera starts recording; there is no pre-existing in the picture When the object is placed, return to the receiving PIR sensor trigger command.
  • the main processor is further configured to: receive a PIR sensor trigger instruction; control a camera to take a picture or capture a picture from the video captured by the camera according to a preset picture collection condition; This includes the number of shots taken or captured, the time interval between taking or capturing a picture, the order in which the picture was taken or captured, the size of the picture taken or captured, and one or more of the pixels.
  • the main processor is further configured to: perform image recognition on the collected image according to an image recognition algorithm integrated in the main processor, and determine whether a preset object exists in the image.
  • the main processor is further configured to: when the preset object exists in the picture, control the camera to start recording according to a preset recording duration or a moving state of the object in the recording; at the end of the recording duration When the object in the video stops moving, the camera is controlled to stop recording and enter standby.
  • the camera device further includes a low power wireless wireless connection, the low power wireless connection to the power module, the MCU, and the main processor; the main processor is further configured to: When it is detected that the object in the recording moves, the alarm device is notified by low power consumption or other preset camera devices are activated.
  • the technical solution provided by the embodiment of the present invention may generate the following beneficial effects: receiving a PIR sensor triggering instruction and acquiring a picture; performing image recognition on the collected picture, determining whether a preset object exists in the picture; and presenting in the picture
  • the control camera starts recording; when there is no preset object in the picture, it returns to the receiving PIR sensor trigger command.
  • the specific embodiment of the present invention improves the power saving performance and the detection accuracy of the imaging device by means of the dual detection of the PIR sensor and the image recognition, and can set the detection sensitivity of the imaging device according to the numerical value of the PIR sensor and the image recognition detection result. To meet the accuracy requirements of different users for different object motion detection in different scenarios (such as alarm accuracy requirements), while saving energy and improving user experience.
  • FIG. 1 is a flowchart of a method for detecting and starting a camera device according to an exemplary embodiment of the present invention.
  • FIG. 2 is a flowchart of an embodiment of step S20 in the method for detecting and starting the imaging device shown in FIG.
  • FIG. 3 is a flowchart of an embodiment of step S30 in the method for detecting and starting the imaging device shown in FIG.
  • FIG. 4 is a flowchart of a method for detecting a startup of a camera device according to another exemplary embodiment of the present invention.
  • FIG. 5 is a block diagram of an image pickup apparatus according to an exemplary embodiment of the present invention.
  • FIG. 6 is a block diagram of an image pickup apparatus according to still another exemplary embodiment of the present invention.
  • an embodiment of the present disclosure provides an image pickup apparatus and a detection and activation method thereof, which are used to improve detection accuracy by integrating two detection modes of PIR sensor and image recognition, thereby realizing the province of the image pickup apparatus. Electricity and improved alarm accuracy, while saving energy and improving user experience.
  • the method includes steps S100 to S400:
  • step S100 the PIR sensor trigger command is received and the picture is acquired; in the embodiment shown in FIG. 5, firstly, the PIR sensor 3 detects whether there is object motion by passive infrared mode (in the detection process, whether the object is defined to be moving or not) The parameters such as the speed of movement and the size of the moving object can be adjusted according to the user to meet the detection sensitivity requirement under different requirements, and the PIR sensor trigger command is sent to the MCU 2 after detecting the motion of the object.
  • the power module 5 has The other connected components required provide power to maintain operation, and the main processor 1 of the camera shown in FIG.
  • the main processor 1 is in a sleep state to save power before detecting an object motion and transmitting a PIR sensor trigger command.
  • the MCU2 Receiving the PIR sensor triggering instruction and transmitting the PIR sensor triggering instruction to the main processor 1 to It wakes up.
  • the step S100 includes: receiving a PIR sensor triggering instruction; controlling the camera 6 to take a picture or intercepting a picture from the video captured by the camera 6 according to a preset picture collection condition; the picture collection condition includes The number of shots taken, the time interval at which the picture was taken or captured, the order in which the pictures were taken or captured, the size of the picture taken or captured, and one or more of the pixels.
  • the numerical value of the above picture collection conditions, the pixel size and size of the picture, etc. can be set according to requirements to adjust the detection sensitivity of the camera device, so as to meet the requirements of different users for detection accuracy in different scenarios.
  • the main processor 1 collects a picture according to a preset picture capturing condition; for example, the main processor 1 controls the camera 6 to capture one, consecutive multiple or interval. Multiple images, such as the first two images separated by 0.2 milliseconds.
  • step S200 image recognition is performed on the collected picture, and it is determined whether a preset object exists in the picture.
  • the main processor 1 identifies a preset object in the acquired picture and outputs a recognition result.
  • the user may change the condition for determining whether there is a preset object in the picture, and the setting is changed to identify one or more preset objects in the picture; if the preset object is not recognized or the recognized preset When the object does not reach the preset number or size, the recording is not started, and the camera is kept in the standby state; after the image is recognized, the main processor 1 of the camera detects whether the image meets the preset condition. Preset the object and output the recognition result.
  • step S300 when there is a preset object in the picture, the control camera 6 starts recording; that is, when the recognition result meets the condition of starting the recording, the main processor 1 causes the camera to follow the preset recording.
  • the parameter initiates recording; for example, if a preset object, such as a human body, is detected, the camera initiates recording and transmits the recorded image to the WIFI router in the headend device 10 (shown in Figure 6).
  • the recording duration of the recording can be preset to a fixed duration (for example, 30 seconds) or according to the moving state of the object in the recording (for example, if the motion of the object in the screen continues, the recording continues, if the motion of the object stops, the recording stops), and When the condition ends (for example, when the preset recording duration or the object stops moving), the recording is stopped, and the main processor 1 of the imaging apparatus re-enters the standby state.
  • a fixed duration for example, 30 seconds
  • the moving state of the object in the recording for example, if the motion of the object in the screen continues, the recording continues, if the motion of the object stops, the recording stops
  • the condition ends for example, when the preset recording duration or the object stops moving
  • step S400 when there is no preset object in the picture, return to the receiving PIR sensor trigger command. That is, when the recognition result does not reach the condition for starting the recording, the image pickup apparatus is kept in the standby state, and is kept in a state in which the PIR sensor trigger command is accepted at any time.
  • the power-saving performance and the detection accuracy of the imaging device are improved by the dual detection of the PIR sensor and the image recognition, and the detection sensitivity of the imaging device can be set according to the numerical value of the PIR sensor and the image recognition detection result.
  • the accuracy requirements of different users for object motion detection in different scenarios improve the user experience while saving power and energy.
  • the detection accuracy can be improved by 25%, power saving is 20%, camera working time is extended by 30%; in general outdoor use, through PIR
  • the dual detection method of sensor and image recognition can improve detection accuracy by 30%, power saving by 25%, and camera working time by 40%.
  • the step S200 includes:
  • Step S201 Identify, according to an image recognition algorithm integrated in the main processor, image recognition on the collected image, and determine whether a preset object exists in the image.
  • the main processor 1 performs image recognition on the collected image according to an internally integrated image recognition algorithm, and determines whether there is a preset object in the image, and the algorithm can identify the human body, An object such as an animal, a car, or the like (the preset object may be one or more of the above-listed objects).
  • the user may change the condition for determining whether there is a preset object in the picture, and the setting is changed to identify one or more preset objects in the picture; if the preset object is not recognized or the recognized preset When the object does not reach the preset number or size, the recording is not started, and the camera is kept in the standby state; after the image is recognized, the main processor 1 of the camera detects whether there is a compliance in the picture according to the picture algorithm. Set the preset object and output the recognition result.
  • the step S300 includes:
  • Step S301 When there is a preset object in the picture, the control camera 6 starts the recording according to the preset recording duration or the moving state of the object in the recording; that is, the recording duration of the recording can be preset to a fixed duration (for example, 30 seconds). ) or according to the moving state of the object in the video (for example, if the motion of the object in the picture continues to continue recording, if the motion of the object stops, stop recording).
  • Step S302 When the recording duration ends or the object in the recording stops moving, the camera is controlled to stop recording and enter standby. That is, when the preset recording duration or the moving state of the object in the recording ends (for example, when the preset recording duration or the object stops moving), the recording is stopped, and the main processor 1 of the imaging apparatus re-enters the standby state.
  • the method includes:
  • Step S500 when detecting the movement of the object in the recording, wirelessly notifying the alarm device or starting other preset camera devices by low power consumption. That is, in order to adapt to the IOT (Internet of things) smart home and low power consumption, the low power consumption wireless 8 can be integrated in the camera device.
  • the low power wireless 8 includes but is not limited to Yu is Zigbee, Z-wave, BLE, 433MHz or Sub-1G.
  • the function of the low-power wireless 8 is: first, when it is confirmed that the motion of the object is detected, the low-power wireless 8 can be sent to the peripheral IOT device 7 (as shown in FIG. 6), for example, to notify the alarm that an alarm sounds.
  • low-power wireless 8 can be used for signal transmission during standby, so that wireless module 4 (such as WIFI module 41 in Figure 6) can be turned off. More energy efficient. It can be understood that, in some embodiments, when detecting the movement of the object in the recording, the alarm device may be notified by the WIFI module 41 or other preset camera devices may be activated to control the peripheral IOT device 7 to perform the next operation.
  • the present invention further provides an image capturing device, as shown in FIG. 5, the camera device includes a main processor 1, an MCU2 connected to the main processor 1, and a PIR sensor. a PIR sensor 3 for triggering an instruction, a power module 5 connected to the main processor 1 and the MCU 2, a camera 6 connected to the main processor 1, and a wireless module 4 for transmitting a wireless signal; the PIR The sensor 3 is connected to the MCU 2; the wireless module 4 is connected to the power module 5, the MCU 2 and the main processor 1;
  • the main processor 1 receives a PIR sensor trigger command and acquires a picture; the PIR sensor trigger command is sent by the PIR sensor 3 to the main processor 1 through the MCU 2; in this embodiment, the PIR sensor 3 passes Passive infrared method to detect whether there is object motion (in the detection process, parameters such as the speed of movement to define whether the object moves, the size of the moving object, etc. can be adjusted according to the user to meet the detection sensitivity requirements under different requirements), and the object is detected. After the motion, the PIR sensor 3 is sent to trigger the command to the MCU 2. It can be understood that the power module 5 supplies power to other connected components in need to maintain operation, and the main processor 1 of the camera shown in FIG. 5 is in the absence of a person.
  • the main processor 1 is in a sleep state to save power.
  • the PIR sensor 3 detects an object motion and transmits a PIR sensor trigger command
  • the MCU 2 receives the PIR sensor trigger. So, the PIR sensor and the trigger instruction to the master processor 1 to wake it up.
  • the main processor is further configured to: receive a PIR sensor trigger instruction; control the camera 6 to take a picture or capture a picture from the video captured by the camera 6 according to a preset picture collection condition;
  • the acquisition conditions include the number of shots taken or captured, the time interval at which the picture was taken or captured, the order in which the pictures were taken or captured, the size of the picture taken or captured, and one or more of the pixels.
  • the numerical value of the above picture collection conditions, the pixel size and size of the picture, etc. can be set according to requirements to adjust the detection sensitivity of the camera device, so as to meet the requirements of different users for detection accuracy in different scenarios.
  • the main processor 1 collects a picture according to a preset picture capturing condition; for example, the main processor 1 controls the camera 6 to capture one, consecutive multiple or interval. Multiple images, such as the first two images separated by 0.2 milliseconds.
  • the main processor 1 performs image recognition on the collected picture to determine whether there is a preset object in the picture; in the embodiment shown in FIG. 5, the main processor 1 is in the collected picture. Identify the preset object and output the recognition result. Further, the user may change the condition for determining whether there is a preset object in the picture, and the setting is changed to identify one or more preset objects in the picture; if the preset object is not recognized or the recognized preset When the object does not reach the preset number or size, the recording is not started, and the camera is kept in the standby state; after the image is recognized, the main processor 1 of the camera detects whether the image meets the preset condition. Preset the object and output the recognition result.
  • the control camera 6 starts the recording; that is, when the recognition result meets the condition of starting the recording, the main processor 1 causes the camera to follow the preset.
  • the recording parameters initiate recording; for example, if a preset object, such as a human body, is detected, the camera initiates recording and transmits the recorded image to the WIFI router in the headend device 10 (shown in Figure 6).
  • the recording duration of the recording can be preset to a fixed duration (for example, 30 seconds) or according to the moving state of the object in the recording (for example, if the motion of the object in the screen continues to continue recording, if the motion of the object stops, the recording is stopped), and in the above
  • the condition ends for example, when the preset recording duration or the object stops moving
  • the recording is stopped, and the main processor 1 of the imaging apparatus re-enters the standby state.
  • the main processor 1 returns to the receiving PIR sensor trigger command when there is no preset object in the picture. That is, when the recognition result does not reach the condition for starting the recording, the image pickup apparatus is kept in the standby state, and is kept in a state in which the PIR sensor trigger command is accepted at any time.
  • the power saving performance and the detection accuracy of the imaging device are improved by the dual detection of the PIR sensor and the image recognition, and the detection sensitivity of the imaging device can be set according to the numerical value of the PIR sensor and the image recognition detection result.
  • the accuracy requirements of different users for object motion detection in different scenarios improve the user experience while saving power and energy.
  • the main processor is further configured to: perform image recognition on the collected image according to an image recognition algorithm integrated in the main processor, and determine whether a preset object exists in the image.
  • the main processor 1 performs image recognition on the collected image according to an internally integrated image recognition algorithm, and determines whether there is a preset object in the image, and the algorithm can identify the human body, An object such as an animal, a car, or the like (the preset object may be one or more of the above-listed objects).
  • the user may change the condition for determining whether there is a preset object in the picture, and the setting is changed to identify one or more preset objects in the picture; if the preset object is not recognized or the recognized preset When the object does not reach the preset number or size, the recording is not started, and the camera is kept in the standby state; after the image is recognized, the main processor 1 of the camera detects whether there is a compliance in the picture according to the picture algorithm. Set the preset object and output the recognition result.
  • the main processor is further configured to: when the preset object exists in the picture, control the camera to start recording according to a preset recording duration or a moving state of the object in the recording; that is, recording the recording
  • the duration can be preset to a fixed duration (for example, 30 seconds) or determined according to the moving state of the object in the recording (for example, if the motion of the object in the picture continues, the recording continues, and if the motion of the object stops, the recording stops).
  • the camera is controlled to stop recording and enter standby. That is, when the preset recording duration or the moving state of the object in the recording ends (for example, when the preset recording duration or the object stops moving), the recording is stopped, and the main processor 1 of the imaging apparatus re-enters the standby state.
  • the camera device further includes a low power wireless wireless connection, the low power wireless connection to the power module, the MCU, and the main processor; the main processor is further configured to: When it is detected that the object in the recording moves, the alarm device is notified by low power consumption or other preset camera devices are activated. That is, in order to adapt to the IOT (Internet of things) smart home and low power consumption, the low power consumption wireless 8 can be integrated in the camera device.
  • the low power wireless 8 includes but is not limited to Yu is Zigbee, Z-wave, BLE, 433MHz or Sub-1G.
  • the function of the low-power wireless 8 is: first, when it is confirmed that the motion of the object is detected, the low-power wireless 8 can be sent to the peripheral IOT device 7 (as shown in FIG. 6), for example, to notify the alarm that an alarm sounds. Or notify other camera devices to start recording (for further monitoring); secondly, low-power wireless 8 can be used for signal transmission during standby, so that wireless module 4 (such as WIFI module 41 in Figure 6) can be turned off. More energy efficient. It can be understood that, in some embodiments, when detecting the movement of the object in the recording, the alarm device may be notified by the WIFI module 41 or other preset camera devices may be activated to control the peripheral IOT device 7 to perform the next operation.
  • the camera device further includes a second antenna 9 coupled to the low power wireless 8 and for enhancing wireless signals.
  • the wireless module 4 includes a WIFI module 41 for transmitting WIFI signals and a first antenna 42 for enhancing WIFI signals.
  • the camera device includes a housing (not shown) for protecting and supporting internal components, the main processor 1 and the MCU 2 are located within the housing, and the camera 6 is mounted in the housing Said housing. That is, in the embodiment, the housing is used to protect the main processor 1 and the MCU 2 installed therein, and the camera 6 is mounted on the housing for shooting; but other components may be disposed in the housing. May be outside the housing.
  • the PIR sensor 3 and/or the wireless module 4 are mounted to the housing.
  • the power module 5 includes a battery, that is, in this embodiment, the camera device can use a battery for recording.
  • the battery is disposed in the housing and is subjected to the housing. Body protection.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Abstract

本发明涉及一种摄像装置及其检测启动方法。所述方法包括：接收PIR传感器触发指令并采集图片；对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；在所述图片中存在预置物体时，控制摄像头启动录像；在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。本发明通过整合PIR传感器和图像识别两种检测方式来提升检测准确率，进而实现摄像装置的省电并改善报警准确率，在省电节能的同时还提升了用户体验。

Description

摄像装置及其检测启动方法 技术领域
本发明涉及摄像领域，尤其涉及一种摄像装置及其检测启动方法。
背景技术
随着现代人对家庭安防的重视程度的增加，监控摄像机产品在家庭的使用也越来越普及，其中使用电池供电的摄像机产品因为安装使用方便也逐渐受到用户的欢迎。
目前，由于电池供电摄像机所带的电池电量是有限的，为了延长电池供电摄像机的工作时间，一般的做法是将摄像机的主处理器在没有人的时候断电或休眠，让MCU(Micro Control Unit，微控制单元)处于低功耗待机状态，与MCU连接的PIR(Passive infrared detectors，被动红外线探测器)传感器做被动红外检测，一旦人在摄像机前面经过，则PIR传感器会马上感应到并触发摄像机主处理器启动录像。这种方式的不足之处在于：由于PIR传感器的原理是依靠检测运动物体和背景的红外能量变化，因此该方案的PIR传感器检测会出现不准的情况，比如宠物、热风机、甚至飘动的树叶的出现都可能触发PIR传感器，这样就造成许多误报警，也造成许多不必要的录像而浪费电池电量，最终影响用户体验。
发明内容
本发明的目的在于提供一种省电且能改善报警准确率的摄像装置及其检测启动方法。
一方面，提供一种摄像装置检测启动方法，包括：
接收PIR传感器触发指令并采集图片；
对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；
在所述图片中存在预置物体时，控制摄像头启动录像；
在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。
在一实施例中，所述接收PIR传感器触发指令并采集图片，包括：
接收PIR传感器触发指令；
根据预设的图片采集条件，控制摄像头拍摄图片或自所述摄像头拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。
在一实施例中，所述对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体，包括：
根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。
在一实施例中，所述在所述图片中存在预置物体时，控制摄像头启动录像，包括：
在所述图片中存在预置物体时，控制摄像头按照预设的录制时长或录像中物体的移动状态启动录像；
在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。
在一实施例中，所述在所述图片中存在预置物体时，控制摄像头启动录像之后，包括：
在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。
另一方面，还提供一种摄像装置，包括主处理器、连接于所述主处理器的MCU、PIR传感器、连接于所述主处理器与所述MCU的电源模块、连接于所述主处理器的摄像头，以及用于传输无线信号的无线模块；所述PIR传感器连接于所述MCU；所述无线模块连接于所述电源模块、所述MCU和所述主处理器；
所述主处理器接收PIR传感器触发指令并采集图片；所述PIR传感器触发指令为所述PIR传感器通过所述MCU发送至所述主处理器；
所述主处理器对采集的所述图片进行图像识别，判断所述图片中是否 存在预置物体；在所述图片中存在预置物体时，控制摄像头启动录像；在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。
在一实施例中，所述主处理器还用于：接收PIR传感器触发指令；根据预设的图片采集条件，控制摄像头拍摄图片或自所述摄像头拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。
在一实施例中，所述主处理器还用于：根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。
在一实施例中，所述主处理器还用于：在所述图片中存在预置物体时，控制摄像头按照预设的录制时长或录像中物体的移动状态启动录像；在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。
在一实施例中，所述摄像装置还包括低功耗无线，所述低功耗无线连接于所述电源模块、所述MCU和所述主处理器；所述主处理器还用于：在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。
本发明实施例提供的技术方案可产生以下有益效果：接收PIR传感器触发指令并采集图片；对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；在所述图片中存在预置物体时，控制摄像头启动录像；在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。本发明具体实施方式通过PIR传感器与图像识别的双重检测的方式提升了摄像装置的省电性能及检测准确率，且可以根据PIR传感器与图像识别检测结果的数值大小来设定摄像装置的检测灵敏度，满足不同用户在不同场景下对于物体运动检测的准确率需求(比如报警准确率需求)，在省电节能的同时还提升了用户体验。
本发明的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本发明而了解。本发明的目的和其 他优点可通过在所写的说明书、权利要求书、以及附图中所特别指出的结构来实现和获取。
附图说明
图1为本发明根据一示例性实施例示出的一种摄像装置检测启动方法的流程图。
图2为本发明图1示出的一种摄像装置检测启动方法中步骤S20一实施例的流程图。
图3为本发明图1示出的一种摄像装置检测启动方法中步骤S30一实施例的流程图。
图4为本发明根据另一示例性实施例示出的摄像装置检测启动方法的流程图。
图5为本发明根据一示例性实施例示出的摄像装置的框图。
图6为本发明根据又一示例性实施例示出的摄像装置的框图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本发明。
如图1至图6所示，本公开实施例提供了一种摄像装置及其检测启动方法，用以通过整合PIR传感器和图像识别两种检测方式来提升检测准确率，进而实现摄像装置的省电并改善报警准确率，在省电节能的同时还提升了用户体验。如图1所示，该方法包括步骤S100至步骤S400：
在步骤S100中，接收PIR传感器触发指令并采集图片；在图5所示的实施例中，首先是PIR传感器3通过被动红外方式检测是否有物体运动(该检测过程中，对于界定物体是否运动的运动速度、运动物体大小等参数可以根据用户进行调整，以满足不同需求下的检测灵敏度需求)，并在检测到物体运动之后发送PIR传感器触发指令给MCU2，可理解的是，电源模块5为有需要的其他连接部件提供电能以维持运行，图5中所示的摄像装置的 主处理器1在没有人的时候断电或休眠，让MCU2处于低功耗待机状态，也即，在PIR传感器3检测到有物体运动并发送PIR传感器触发指令之前，所述主处理器1都是处于休眠状态以节约电能的，此时，当PIR传感器3检测到有物体运动并发送PIR传感器触发指令时，MCU2接收到该PIR传感器触发指令，并且将所述PIR传感器触发指令发送至所述主处理器1以将其唤醒。
在一实施例中，所述步骤S100包括：接收PIR传感器触发指令；根据预设的图片采集条件，控制摄像头6拍摄图片或自所述摄像头6拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。以上图片采集条件的数值大小、图片的像素和尺寸大小等可以根据需求进行设定，以调整摄像装置的检测灵敏度，从而满足不同用户在不同场景下对检测准确率的需求。也即，在该实施例中，主处理器1接收到PIR传感器触发指令之后，根据预设的图片采集条件采集图片；比如，主处理器1控制摄像头6抓取一张、连续多张或间隔多张图片，比如间隔0.2毫秒的最初2张图片。
在步骤S200中，对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。在图5所示的实施例中，所述主处理器1在采集的所述图片中识别预置物体，并输出识别结果。进一步地，用户可以将判断所述图片中是否存在预置物体的条件，设置更换为在所述图片中识别出一种或多种预置物体；在没有识别出预置物体或识别出的预置物体没有达到预设的数量或者大小等时，不启动录像，保持摄像装置处于待机状态；而在识别到图片中之后，摄像装置的主处理器1会检测图片中是否存在符合预设条件的预置物体并输出识别结果。
在步骤S300中，在所述图片中存在预置物体时，控制摄像头6启动录像；也即，在识别结果符合启动录像的条件时，所述主处理器1令所述摄像头按照预设的录像参数启动录像；比如，如果检测到预置物体，比如人体，摄像装置就启动录像并向前端设备10(图6中所示)中的WIFI路由器传输录制的影像。且录像的录制时长可以预设为固定时长(比如30秒) 或根据录像中物体的移动状态来确定(比如画面中物体运动一直持续就继续录像，如果物体运动停止就停止录像)，并且在上述条件结束时(比如，达到预设的录制时长或者物体停止移动时)即停止录像，摄像装置的主处理器1重新进入待机状态。
在步骤S400中，在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。也即，在识别结果并未达到启动录像的条件时，摄像装置保持在待机状态，且保持随时接受PIR传感器触发指令的状态。
本实施例通过PIR传感器与图像识别的双重检测的方式提升了摄像装置的省电性能及检测准确率，且可以根据PIR传感器与图像识别检测结果的数值大小来设定摄像装置的检测灵敏度，满足不同用户在不同场景下对于物体运动检测的准确率需求，在省电节能的同时还提升了用户体验。经过测试，在一般家庭室内使用时，通过PIR传感器3和图像识别的双重检测的方式可以提升检测准确率25％，省电20％，摄像机工作时间延长30％；在一般室外使用时，通过PIR传感器和图像识别的双重检测的方式可以提升检测准确率30％，省电25％，摄像机工作时间延长40％。
在一实施例中，如图2所示，所述步骤S200包括：
步骤S201、根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。在图5所示的实施例中，所述主处理器1根据内部集成的图像识别算法对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体，该算法可以识别人体、动物、汽车等物体(所述预置物体可以为以上列举的物体中的一种或者多种)。进一步地，用户可以将判断所述图片中是否存在预置物体的条件，设置更换为在所述图片中识别出一种或多种预置物体；在没有识别出预置物体或识别出的预置物体没有达到预设的数量或者大小等时，不启动录像，保持摄像装置处于待机状态；而在识别到图片中之后，摄像装置的主处理器1会根据图片算法检测图片中是否存在符合预设条件的预置物体，并输出识别结果。
在一实施例中，如图3所示，所述步骤S300包括：
步骤S301、在所述图片中存在预置物体时，控制摄像头6按照预设的 录制时长或录像中物体的移动状态启动录像；也即，录像的录制时长可以预设为固定时长(比如30秒)或根据录像中物体的移动状态来确定(比如画面中物体运动一直持续就继续录像，如果物体运动停止就停止录像)。
步骤S302、在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。也即，在预设的录制时长或录像中物体的移动状态结束时(比如，达到预设的录制时长或者物体停止移动时)即停止录像，摄像装置的主处理器1重新进入待机状态。
在一实施例中，如图4所示，所述方法的步骤S300之后，包括：
步骤S500，在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。也即，为了适应IOT(Internet of things，物联网)智能家居和低功耗使用，摄像装置内可集成低功耗无线8，在一些实施例中，所述低功耗无线8包括但不限定于为Zigbee、Z-wave、BLE、433MHz或Sub-1G。低功耗无线8的作用是：首先，当确认检测到物体运动的时候，可以通过低功耗无线8向周边IOT设备7(如图6中所示)发出信号，比如通知警报器发出警报声或通知其他摄像装置启动录像(以进行进一步监控)；其次，低功耗无线8可以用于待机时的信号传输，这样就可以关闭无线模块4(如图6中的WIFI模块41)，让设备更节能。可理解的，在一些实施例中，在检测到录像中的物体移动时，也可以通过WIFI模块41通知警报装置或启动其他预设摄像装置，以控制周边IOT设备7做下一步操作。
对应本发明实施例提供的摄像装置检测启动方法，本发明还提供一种摄像装置，如图5所示，该摄像装置包括主处理器1、连接于所述主处理器1的MCU2、PIR传感器触发指令的PIR传感器3、连接于所述主处理器1与所述MCU2的电源模块5、连接于所述主处理器1的摄像头6，以及用于传输无线信号的无线模块4；所述PIR传感器3连接于所述MCU2；所述无线模块4连接于所述电源模块5、所述MCU2和所述主处理器1；
所述主处理器1接收PIR传感器触发指令并采集图片；所述PIR传感器触发指令为所述PIR传感器3通过所述MCU2发送至所述主处理器1；在本实施例中，PIR传感器3通过被动红外方式检测是否有物体运动(该检测过程中，对于界定物体是否运动的运动速度、运动物体大小等参数可以 根据用户进行调整，以满足不同需求下的检测灵敏度需求)，并在检测到物体运动之后发送PIR传感器3触发指令给MCU2，可理解的是，电源模块5为有需要的其他连接部件提供电能以维持运行，图5中所示的摄像装置的主处理器1在没有人的时候断电或休眠，让MCU2处于低功耗待机状态，也即，在PIR传感器3检测到有物体运动并发送PIR传感器触发指令之前，所述主处理器1都是处于休眠状态以节约电能的，此时，当PIR传感器3检测到有物体运动并发送PIR传感器触发指令时，MCU2接收到该PIR传感器触发指令，并且将所述PIR传感器触发指令发送至所述主处理器1以将其唤醒。
在一实施例中，所述主处理器还用于：接收PIR传感器触发指令；根据预设的图片采集条件，控制摄像头6拍摄图片或自所述摄像头6拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。以上图片采集条件的数值大小、图片的像素和尺寸大小等可以根据需求进行设定，以调整摄像装置的检测灵敏度，从而满足不同用户在不同场景下对检测准确率的需求。也即，在该实施例中，主处理器1接收到PIR传感器触发指令之后，根据预设的图片采集条件采集图片；比如，主处理器1控制摄像头6抓取一张、连续多张或间隔多张图片，比如间隔0.2毫秒的最初2张图片。
所述主处理器1对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；在图5所示的实施例中，所述主处理器1在采集的所述图片中识别预置物体，并输出识别结果。进一步地，用户可以将判断所述图片中是否存在预置物体的条件，设置更换为在所述图片中识别出一种或多种预置物体；在没有识别出预置物体或识别出的预置物体没有达到预设的数量或者大小等时，不启动录像，保持摄像装置处于待机状态；而在识别到图片中之后，摄像装置的主处理器1会检测图片中是否存在符合预设条件的预置物体并输出识别结果。
所述主处理器1在所述图片中存在预置物体时，控制摄像头6启动录像；也即，在识别结果符合启动录像的条件时，所述主处理器1令所述摄 像头按照预设的录像参数启动录像；比如，如果检测到预置物体，比如人体，摄像装置就启动录像并向前端设备10(图6中所示)中的WIFI路由器传输录制的影像。且录像的录制时长可以预设为固定时长(比如30秒)或根据录像中物体的移动状态来确定(比如画面中物体运动一直持续就继续录像，如果物体运动停止就停止录像)，并且在上述条件结束时(比如，达到预设的录制时长或者物体停止移动时)即停止录像，摄像装置的主处理器1重新进入待机状态。
所述主处理器1在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。也即，在识别结果并未达到启动录像的条件时，摄像装置保持在待机状态，且保持随时接受PIR传感器触发指令的状态。
上述实施例通过PIR传感器与图像识别的双重检测的方式提升了摄像装置的省电性能及检测准确率，且可以根据PIR传感器与图像识别检测结果的数值大小来设定摄像装置的检测灵敏度，满足不同用户在不同场景下对于物体运动检测的准确率需求，在省电节能的同时还提升了用户体验。
在一实施例中，所述主处理器还用于：根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。在图5所示的实施例中，所述主处理器1根据内部集成的图像识别算法对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体，该算法可以识别人体、动物、汽车等物体(所述预置物体可以为以上列举的物体中的一种或者多种)。进一步地，用户可以将判断所述图片中是否存在预置物体的条件，设置更换为在所述图片中识别出一种或多种预置物体；在没有识别出预置物体或识别出的预置物体没有达到预设的数量或者大小等时，不启动录像，保持摄像装置处于待机状态；而在识别到图片中之后，摄像装置的主处理器1会根据图片算法检测图片中是否存在符合预设条件的预置物体，并输出识别结果。
在一实施例中，所述主处理器还用于：在所述图片中存在预置物体时，控制摄像头按照预设的录制时长或录像中物体的移动状态启动录像；也即，录像的录制时长可以预设为固定时长(比如30秒)或根据录像中物体的移动状态来确定(比如画面中物体运动一直持续就继续录像，如果物 体运动停止就停止录像)。而在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。也即，在预设的录制时长或录像中物体的移动状态结束时(比如，达到预设的录制时长或者物体停止移动时)即停止录像，摄像装置的主处理器1重新进入待机状态。
在一实施例中，所述摄像装置还包括低功耗无线，所述低功耗无线连接于所述电源模块、所述MCU和所述主处理器；所述主处理器还用于：在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。也即，为了适应IOT(Internet of things，物联网)智能家居和低功耗使用，摄像装置内可集成低功耗无线8，在一些实施例中，所述低功耗无线8包括但不限定于为Zigbee、Z-wave、BLE、433MHz或Sub-1G。低功耗无线8的作用是：首先，当确认检测到物体运动的时候，可以通过低功耗无线8向周边IOT设备7(如图6中所示)发出信号，比如通知警报器发出警报声或通知其他摄像装置启动录像(以进行进一步监控)；其次，低功耗无线8可以用于待机时的信号传输，这样就可以关闭无线模块4(如图6中的WIFI模块41)，让设备更节能。可理解的，在一些实施例中，在检测到录像中的物体移动时，也可以通过WIFI模块41通知警报装置或启动其他预设摄像装置，以控制周边IOT设备7做下一步操作。
在一些实施例中，所述摄像装置还包括连接于所述低功耗无线8且用于增强无线信号的第二天线9。
在一些实施例中，如图6所示，所述无线模块4包括用于传输WIFI信号的WIFI模块41以及用于增强WIFI信号的第一天线42。在一些实施例中，所述摄像装置包括用于保护和支撑内部构件的壳体(图未示)，所述主处理器1和所述MCU2位于所述壳体内，所述摄像头6安装在所述壳体。也即，在本实施例中，所述壳体用于保护安装于其内的，主处理器1和MCU2，摄像头6安装在壳体上进行拍摄；但其他部件可能设置于所述壳体内也可能位于所述壳体外。比如，在一些实施例中，所述PIR传感器3和/或所述无线模块4安装于所述壳体。
在一些实施例中，所述电源模块5包括电池，也即在该实施例中，所述摄像设备可以使用电池来进行录像，作为优选，所述电池设置于所述壳 体内，受到所述壳体的保护。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种摄像装置检测启动方法，其特征在于，包括：
    接收PIR传感器触发指令并采集图片；
    对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；
    在所述图片中存在预置物体时，控制摄像头启动录像；
    在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。
  2. 如权利要求1所述的摄像装置检测启动方法，其特征在于，所述接收PIR传感器触发指令并采集图片，包括：
    接收PIR传感器触发指令；
    根据预设的图片采集条件，控制摄像头拍摄图片或自所述摄像头拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。
  3. 如权利要求1所述的摄像装置检测启动方法，其特征在于，所述对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体，包括：
    根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。
  4. 如权利要求1所述的摄像装置检测启动方法，其特征在于，所述在所述图片中存在预置物体时，控制摄像头启动录像，包括：
    在所述图片中存在预置物体时，控制摄像头按照预设的录制时长或录像中物体的移动状态启动录像；
    在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。
  5. 如权利要求1所述的摄像装置检测启动方法，其特征在于，所述在所述图片中存在预置物体时，控制摄像头启动录像之后，包括：
    在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。
  6. 一种摄像装置，其特征在于，包括主处理器、连接于所述主处理器的MCU、PIR传感器、连接于所述主处理器与所述MCU的电源模块、连接于所述主处理器的摄像头，以及用于传输无线信号的无线模块；所述PIR传感器连接于所述MCU；所述无线模块连接于所述电源模块、所述MCU和所述主处理器；
    所述主处理器接收PIR传感器触发指令并采集图片；所述PIR传感器触发指令为所述PIR传感器通过所述MCU发送至所述主处理器；
    所述主处理器对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体；在所述图片中存在预置物体时，控制摄像头启动录像；在所述图片中不存在预置物体时，返回至接收PIR传感器触发指令。
  7. 如权利要求6所述的摄像装置，其特征在于，所述主处理器还用于：接收PIR传感器触发指令；根据预设的图片采集条件，控制摄像头拍摄图片或自所述摄像头拍摄的录像中截取图片；所述图片采集条件包括拍摄或截取图片的张数、拍摄或截取图片的时间间隔、拍摄或截取图片的次序、拍摄或截取图片的尺寸和像素中的一种或多种。
  8. 如权利要求6所述的摄像装置，其特征在于，所述主处理器还用于：根据主处理器内部集成的图像识别算法识别对采集的所述图片进行图像识别，判断所述图片中是否存在预置物体。
  9. 如权利要求6所述的摄像装置，其特征在于，所述主处理器还用于：在所述图片中存在预置物体时，控制摄像头按照预设的录制时长或录像中物体的移动状态启动录像；在所述录制时长结束或录像中物体停止移动时，控制所述摄像头停止录像并进入待机。
  10. 如权利要求6所述的摄像装置，其特征在于，所述摄像装置还包括低功耗无线，所述低功耗无线连接于所述电源模块、所述MCU和所述主处理器；所述主处理器还用于：在检测到录像中的物体移动时，通过低功耗无线通知警报装置或启动其他预设摄像装置。
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