CN109830077A - Monitoring device and monitoring method - Google Patents
Monitoring device and monitoring method Download PDFInfo
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- CN109830077A CN109830077A CN201910037568.3A CN201910037568A CN109830077A CN 109830077 A CN109830077 A CN 109830077A CN 201910037568 A CN201910037568 A CN 201910037568A CN 109830077 A CN109830077 A CN 109830077A
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 title claims description 30
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Abstract
The present invention provides a kind of monitoring device, includes sensor, output unit and processor, wherein processor is electrically connected at sensor and output unit.Sensor generates sensing signal.Processor judges to sense whether signal is greater than predetermined level.When sensing signal greater than predetermined level, event occurs for processor judgement.When an event occurs, processor is in the frequency for adding up event in the first predetermined time.When frequency is greater than or equal to pre-determined number, processor controls output unit output warning message.
Description
Technical Field
The present invention relates to a monitoring device and a monitoring method, and more particularly, to a monitoring device and a monitoring method capable of outputting useful warning messages when an event occurs.
Background
With the increasing safety awareness, the safety monitoring application is also receiving more and more attention. Currently, in many public or non-public applications, cameras are installed for monitoring. Some cameras alert the user when they detect an event in the field of view (FOV). However, some events may be caused by environmental factors (e.g., sudden lights, passing dogs and cats), rather than a real human intrusion. At this time, the alarm sent by the camera is a false alarm (false alarm). These false alarms are not helpful to the user, but rather confuse the truly useful alarm, thereby causing confusion to the user. In addition, these false alarms also increase power consumption, increase transmission traffic and result in increased network transmission costs and wasted network load.
In the prior art, a method of image recognition is used to filter out part of false alarms. However, image recognition needs to be judged after recording, the alarm recognition time is long, a higher configured system is required to perform filtering operation, and the power consumption of the system is higher.
Therefore, there is a need for a new alarm recognition method to filter false alarms so that the user can receive truly useful alarms more efficiently.
Disclosure of Invention
An objective of the present invention is to provide a monitoring device and a monitoring method capable of outputting useful warning information when an event occurs, so as to solve the above-mentioned problems.
To achieve the above object, the present invention provides a monitoring apparatus, comprising,
an image capturing unit for capturing an image sequence;
a sensor for generating a sensing signal;
an output unit; and
the processor is electrically connected with the image acquisition unit, the sensor and the output unit; the processor is used for judging whether the sensing signal is greater than a preset level or not when receiving the sensing signal; the processor is used for judging that an event occurs when the sensing signal is greater than the preset level; the processor is used for accumulating the occurrence frequency of the event within a first preset time when the event occurs and recording the image sequence captured by the image capturing unit within a second preset time; when the occurrence number is larger than or equal to the preset number, the processor controls the output unit to output the warning message.
Preferably, the second predetermined time is greater than or equal to the first predetermined time.
Preferably, the warning message includes the recorded video sequence.
Preferably, when the occurrence frequency of the event in the first predetermined time is less than the predetermined frequency or zero, the processor stops the recording and/or closes the image capturing unit; or,
when the first preset time is not timed out and the occurrence frequency of the event is equal to the preset frequency, the processor controls the output unit to output an alarm message.
Preferably, when the image capturing unit is turned off and the event occurs, the processor starts the image capturing unit.
Preferably, the sensor comprises at least one of: an infrared sensor, a microphone, a light sensor, a gravity sensor, a gyroscope, and a distance sensor.
In order to achieve the above object, the present invention further provides a monitoring method, comprising the steps of:
generating a sensing signal;
determining whether the sensing signal is greater than a predetermined level;
when the sensing signal is greater than the predetermined level, determining that an event occurs;
when the event occurs, accumulating the occurrence frequency of the event within a first preset time, and recording the captured image sequence within a second preset time; and
when the occurrence frequency is larger than or equal to the preset frequency, outputting a warning message.
Preferably, the second predetermined time is greater than or equal to the first predetermined time.
Preferably, the warning message includes the recorded video sequence.
Preferably, the method further comprises the following steps:
stopping the video recording and/or turning off the image capturing unit when the occurrence frequency of the event in the first preset time is less than the preset frequency or zero; or,
when the first preset time is not timed up and the occurrence frequency of the event is equal to the preset frequency, outputting an alarm message.
Preferably, the method further comprises the following steps:
when the image capturing unit is closed and the event occurs, the image capturing unit is started.
Preferably, the sensor comprises at least one of: an infrared sensor, a microphone, a light sensor, a gravity sensor, a gyroscope, and a distance sensor.
In summary, when the monitoring device of the present invention is in an environment with an event, the sensing signal of the sensor is greater than the predetermined level. At this time, the processor accumulates the occurrence count of the events (i.e., the number of times the sensing signal is greater than the predetermined level) in a predetermined time. When the occurrence number of the events is larger than or equal to the preset number, the situation that a person invades or the monitoring device is damaged is indicated. At this time, the processor controls the output unit to output an alert message to notify the user of the alert message. Conversely, when the number of occurrences of the event is less than the predetermined number, it indicates that the event may be caused by environmental factors (e.g., sudden lights, passing dogs and cats), rather than an intrusion by a real person. At this time, the output unit will not output the warning message. Therefore, the useful warning message can be more accurately and more efficiently output to the user when the event occurs, so as to avoid the trouble of the user caused by the useless warning message.
Drawings
Fig. 1 is a functional block diagram of a monitoring device according to an embodiment of the present invention.
Fig. 2 is a flow chart of a monitoring method according to an embodiment of the invention.
Fig. 3 is a flow chart of a monitoring method according to another embodiment of the invention.
Detailed Description
In order to further understand the objects, structures, features and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1 and fig. 2, fig. 1 is a functional block diagram of a monitoring device 1 according to an embodiment of the present invention, and fig. 2 is a flowchart of a monitoring method according to an embodiment of the present invention. The monitoring method in fig. 2 is applicable to the monitoring device 1 in fig. 1.
As shown in fig. 1, the monitoring device 1 includes a sensor 10, an output unit 12, a processor 14, an image capturing unit 16, and a storage unit 18, wherein the processor 14 is electrically connected to the sensor 10, the output unit 12, the image capturing unit 16, and the storage unit 18. In this embodiment, the monitoring device 1 may be a camera; the sensor 10 may include at least one of an infrared sensor, a microphone, a photo sensor, a gravity sensor, a gyroscope, and a distance sensor; the output unit 12 may be a wired communication module, a wireless communication module (e.g., a WiFi module), a speaker, a display, a light source, or a combination thereof; the processor 14 may be a processor or a controller with signal processing function; the image capturing unit 16 may be a Charge-coupled device (CCD) sensor, a Complementary Metal-oxide semiconductor (CMOS) sensor, or other sensors; the storage unit 18 may be a memory or other data storage device. Generally, the monitoring device 1 is further provided with software and hardware components necessary for operation, such as a lens, an input/output port, an application program, a circuit board, a power supply, etc., depending on the actual application.
The sensor 10 is used for sensing a current parameter (e.g., temperature, sound intensity, brightness, etc.) of an environment where the monitoring apparatus 1 is located and/or a current parameter (e.g., vibration value, angular velocity, distance from the ground or wall surface, etc.) of the monitoring apparatus 1 itself to generate a sensing signal (step S10 in fig. 2). Then, the processor 14 determines whether the sensing signal is greater than a predetermined level when receiving the sensing signal (step S12 in fig. 2), wherein the predetermined level may be determined according to the actual application. When the sensing signal is greater than the predetermined level, the processor 14 determines that an event occurs (step S14 in fig. 2). Otherwise, when the sensing signal is less than or equal to the predetermined level, the processor 14 determines that no event occurs (step S16 in fig. 2).
For example, when the sensor 10 is an infrared sensor, the sensor 10 senses the current temperature (the current parameter) of the environment where the monitoring apparatus 1 is located, and the predetermined level is a temperature threshold; when the sensor 10 is a microphone, the sensor 10 senses the current sound intensity (the current parameter) of the environment where the monitoring apparatus 1 is located, and the predetermined level is a sound intensity threshold value; when the sensor 10 is an optical sensor, the sensor 10 senses the current brightness (the current parameter) of the environment where the monitoring apparatus 1 is located, and the predetermined level is a brightness threshold value; when the sensor 10 is a gravity sensor, the sensor 10 senses the vibration value (the current parameter) of the monitoring apparatus 1, and the predetermined level is a vibration threshold value; when the sensor 10 is a gyroscope, the sensor 10 senses the angular velocity (the current parameter) of the monitoring apparatus 1 itself, and the predetermined level is an angular velocity threshold; when the sensor 10 is a distance sensor, the sensor 10 senses the distance (the above-mentioned current parameter) of the monitoring apparatus 1 itself relative to the ground or the wall, and the predetermined level is a distance threshold.
When an event occurs, the processor 14 accumulates the occurrence count of the event within a first predetermined time (step S18 in fig. 2), wherein the first predetermined time may be determined according to the actual application (e.g., 3 seconds, 5 seconds, etc.). In this embodiment, the processor 14 may count the number of events once each time the sensing signal is greater than the predetermined level. In other words, the number of occurrences of the event is the number of times that the sensing signal is greater than the predetermined level. Next, the processor 14 determines whether the occurrence number of the event is greater than or equal to a predetermined number (step S20 in fig. 2), wherein the predetermined number may be determined according to the actual application (e.g., 3 times, 5 times, etc.).
When the number of occurrences of the event is greater than or equal to the predetermined number, it indicates that there is a possibility of intrusion or damage to the monitoring apparatus 1. At this time, the processor 14 controls the output unit 12 to output an alarm message (step S22 in fig. 2) to notify the user of the alarm message. Conversely, when the number of occurrences of the event is less than the predetermined number, it indicates that the event may be caused by environmental factors (e.g., sudden lights, passing dogs and cats), rather than an intrusion by a real person. At this time, the output unit 12 does not output the warning message (step S24 in fig. 2). In another embodiment, when the first predetermined time is not timed out and the occurrence number of events is equal to the predetermined number, the processor 14 controls the output unit 12 to output the warning message.
In this embodiment, the processor 14 can communicate with the cloud server 3 via the output unit 12 (e.g., a wired communication module or a wireless communication module). Therefore, the processor 14 can control the output unit 12 to output the warning message to the cloud server 3, and then the cloud server 3 transmits the warning message to the electronic device (e.g., a mobile phone, a tablet computer, etc.) of the user. In another embodiment, the processor 14 can communicate with the near-end or far-end user equipment via the output unit 12 (e.g., a wired communication module or a wireless communication module), and the processor 14 can control the output unit 12 to output an alert message to the user communication equipment. In another embodiment, if the output unit 12 is a speaker, a display, a light source or a combination thereof, the processor 14 may control the output unit 12 to output sound, image, light or a combination thereof as the warning message.
Referring to fig. 3, fig. 3 is a flowchart of a monitoring method according to another embodiment of the invention. The monitoring method in fig. 3 is also applicable to the monitoring device 1 in fig. 1. It should be noted that steps S10-S16, S20, and S24 in fig. 3 are the same as steps S10-S16, S20, and S24 in fig. 2, and are not described again here.
When an event occurs, the processor 14 may further record the image sequence captured by the image capturing unit 16 within a second predetermined time, in addition to accumulating the occurrence frequency of the event within the first predetermined time (step S18' in fig. 3). In this embodiment, the image sequence is stored in the storage unit 18, wherein the second predetermined time may be determined according to practical applications (e.g., 5 seconds, 10 seconds, etc.). In this embodiment, the second predetermined time may be greater than or equal to the first predetermined time, depending on the application. In this embodiment, when the image capturing unit is turned off and an event occurs, the processor starts the image capturing unit to obtain and record the image sequence.
In addition, when the number of occurrences of the event is greater than or equal to the predetermined number, the processor 14 controls the output unit 12 to output the warning message, and may further control the output unit 12 to output the image sequence to the cloud server 3 (step S22' in fig. 3). Therefore, when the user receives the warning message, the image sequence can be viewed by connecting the electronic device (e.g., mobile phone, tablet computer, etc.) to the cloud server 3. In this embodiment, the method may further include controlling the output unit 12 to output the image sequence to a user device.
When the above-mentioned event (i.e., the sensing signal is greater than the predetermined level) does not occur again after the first predetermined time elapses, or the occurrence frequency within the first predetermined time is less than the predetermined frequency, the processor 14 may stop recording and/or turn off the image capturing unit 16, so as to save power. In addition, when the image capturing unit 16 is turned off and the above event (i.e., the sensing signal is greater than the predetermined level) occurs, the processor 14 activates the image capturing unit 16 to capture an image sequence of the environment where the monitoring device 1 is located, and performs step S18 in fig. 2 or step S18' in fig. 3.
It should be noted that each part or function in the control logic of the monitoring method of the present invention can be implemented by a combination of software and hardware.
In summary, when the monitoring device of the present invention is in an environment with an event, the sensing signal of the sensor is greater than the predetermined level. At this time, the processor accumulates the occurrence count of the events (i.e., the number of times the sensing signal is greater than the predetermined level) in a predetermined time. When the occurrence number of the events is larger than or equal to the preset number, the situation that a person invades or the monitoring device is damaged is indicated. At this time, the processor controls the output unit to output an alert message to notify the user of the alert message. Conversely, when the number of occurrences of the event is less than the predetermined number, it indicates that the event may be caused by environmental factors (e.g., sudden lights, passing dogs and cats), rather than an intrusion by a real person. At this time, the output unit will not output the warning message. Therefore, the useful warning message can be more accurately and more efficiently output to the user when the event occurs, so as to avoid the trouble of the user caused by the useless warning message.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (12)
1. A monitoring device, comprising:
an image capturing unit for capturing an image sequence;
a sensor for generating a sensing signal;
an output unit; and
the processor is electrically connected with the image acquisition unit, the sensor and the output unit; the processor is used for judging whether the sensing signal is greater than a preset level or not when receiving the sensing signal; the processor is used for judging that an event occurs when the sensing signal is greater than the preset level; the processor is used for accumulating the occurrence frequency of the event within a first preset time when the event occurs and recording the image sequence captured by the image capturing unit within a second preset time; when the occurrence number is larger than or equal to the preset number, the processor controls the output unit to output the warning message.
2. The monitoring device of claim 1, wherein the second predetermined time is greater than or equal to the first predetermined time.
3. The monitoring device of claim 1, wherein the alert message includes the recorded video sequence.
4. The monitoring device as claimed in claim 1, wherein the processor stops the recording and/or turns off the image capturing unit when the number of occurrences of the event within the first predetermined time is less than the predetermined number; or,
when the first preset time is not timed out and the occurrence frequency of the event is equal to the preset frequency, the processor controls the output unit to output an alarm message.
5. The monitoring device as recited in claim 4, wherein the processor activates the image capturing unit when the image capturing unit is turned off and the event occurs.
6. The monitoring device of claim 1, wherein the sensor comprises at least one of: an infrared sensor, a microphone, a light sensor, a gravity sensor, a gyroscope, and a distance sensor.
7. A monitoring method, comprising the steps of:
generating a sensing signal;
determining whether the sensing signal is greater than a predetermined level;
when the sensing signal is greater than the predetermined level, determining that an event occurs;
when the event occurs, accumulating the occurrence frequency of the event within a first preset time, and recording the captured image sequence within a second preset time; and
when the occurrence frequency is larger than or equal to the preset frequency, outputting a warning message.
8. The monitoring method of claim 7, wherein the second predetermined time is greater than or equal to the first predetermined time.
9. The monitoring method of claim 7,
the alert message includes the recorded video sequence.
10. The monitoring method of claim 7, further comprising the steps of:
stopping the video recording and/or closing the image capturing unit when the occurrence frequency of the event in the first preset time is less than the preset frequency; or when the first preset time is not timed up and the occurrence frequency of the event is equal to the preset frequency, outputting an alarm message.
11. The monitoring method of claim 10, further comprising the steps of: when the image capturing unit is closed and the event occurs, the image capturing unit is started.
12. The method of claim 7, wherein the sensor comprises at least one of: an infrared sensor, a microphone, a light sensor, a gravity sensor, a gyroscope, and a distance sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910037568.3A CN109830077A (en) | 2019-01-15 | 2019-01-15 | Monitoring device and monitoring method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910037568.3A CN109830077A (en) | 2019-01-15 | 2019-01-15 | Monitoring device and monitoring method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110570613A (en) * | 2019-09-18 | 2019-12-13 | 广州亓行智能科技有限公司 | Fence vibration intrusion positioning and mode identification method based on distributed optical fiber system |
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2019
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| WO2002008023A2 (en) * | 2000-07-21 | 2002-01-31 | Trw Inc. | Application of human facial features recognition to automobile safety |
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Application publication date: 20190531 |