Snapshot method and system based on low-power monitoring device
A monitoring device and low-power consumption technology, which is applied in the direction of closed-circuit television system, TV system components, color TV components, etc., can solve the problems of not being able to capture in time, high cost of monitoring devices, and inability to determine the status of infrared light
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Embodiment 1
[0079] A capture method based on a low-power monitoring device, comprising the following steps,
[0080] Step 1: After the monitoring device is powered on, initialize the image sensor of the monitoring device. In the initialization state, the infrared fill light or irCut is off;
[0081] Step 2: Wait for the first frame of image output by the image sensor; the image output format is YUV, and when the image output format is other formats, convert to YUV format;
[0082] Step 3: Calculate the average brightness K of the image Y vector by formula 1:
[0083]
[0084] In Formula 1: w is the pixel width, h is the pixel height, and I(i, j) is the brightness value of the corresponding pixel;
[0085] Step 4: Compare the brightness average value of the first frame with the 8lux recorded in the daytime static brightness data table; when the brightness average value of the first frame is greater than or equal to 8lux, it is the daytime mode and execute step 6; otherwise it is the ni...
Embodiment 2
[0118] On the basis of Embodiment 1, this embodiment also includes the step of performing an anti-false trigger judgment on the captured image, and when it is judged to be a falsely triggered capture, the image is not stored, otherwise the image is uploaded to the storage device for storage;
[0119] After the exposure algorithm converges, the exposure value and gain value in the dynamic brightness data table and the brightness value of the first frame are updated and stored.
[0120] Through the judgment of anti-false triggering, the image continuous wake-up operation caused by air temperature and air flow is further reduced.
[0121] The steps of anti-false trigger judgment include,
[0122] Divide the captured picture into 16 rows and 9 columns, and calculate the brightness average value of the pixel Y vector of each row and column respectively, and obtain 16*9 brightness average values;
[0123] Calculate the brightness histogram of the picture and do normalization;
[0...
Embodiment 3
[0128] On the basis of Embodiment 1, the capture system of the low-power monitoring device constituted by the low-power monitoring device of Embodiment 1 includes a wake-up module, a detection module, and a capture module,
[0129] Wake up the module, wake up the monitoring device through PIR hardware or network commands;
[0130] The detection module, for the awakened monitoring device, according to the soft photosensitive detection method, obtains the first frame of pictures to determine whether the current environment is in day mode or night mode, and adjusts the exposure parameters of the monitoring device to output images with stable brightness;
[0131] The capture module judges the brightness threshold value of the image output by the detection module, and sends a trigger signal when the brightness threshold value is exceeded, so as to capture the image.
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Abstract
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