Intelligent table lamp, sitting posture detection method and electronic equipment
A smart desk lamp and desk lamp technology, applied in lighting and heating equipment, electric light source, image data processing, etc., can solve the problems of serious physical injury, harmful eyes, users writing too close, etc., to achieve strong practicability, high accuracy, The effect of preventing myopia
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Embodiment 1
[0039] Such as figure 1 As shown, a smart desk lamp includes a desk lamp body (not shown in the figure), a camera 10 , a control module 20 , and a reminder module 30 . The desk lamp body at least includes basic structures such as a base, a bracket fixed on the base, a light bulb set on the bracket, and a power supply set in the base. From the perspective of energy saving, the light bulb can be an LED light bulb. The desk lamp body can be a general desk lamp, and this embodiment does not limit its structure.
[0040] The intelligent desk lamp also includes a camera 10 , which can be fixed on a bracket or installed on a base, and is used to collect video images in a preset area, and send the collected video images to the control module 20 . The preset area includes the user's head, neck, shoulders, etc. In order to collect images of the upper body of different users, the camera 10 is preferably installed on the base of the desk lamp and faces the upper body of the user obliquel...
Embodiment 2
[0064] Compared with Embodiment 1, the smart desk lamp of this embodiment can not only realize myopia sitting posture warning, but also realize the function of fatigue state reminder. It can judge whether the user is tired by detecting blinking or yawning, and reminds the user to take a rest in time when the user is tired, which can further help the user prevent myopia.
[0065] In some embodiments, the control module 20 is also used to identify human eyes according to the received video image, and calculate the number of eye blinks in the video image within a preset time period. If the number of eye blinks exceeds a preset threshold, it is determined that a fatigue state has occurred. And control the reminder module 30 to output reminder information.
[0066] Specifically, the control module 20 uses preset OpenCV library functions to perform image recognition after receiving the video images collected by the camera 10 to identify the positions of human eyes.
[0067] Blink d...
Embodiment 3
[0077] The embodiment of the present invention also discloses a sitting posture detection method, comprising the following steps:
[0078] S01. Generate a human body contour map of the user according to preset rules according to the collected video images of the user in a preset area, where the preset area includes the user's head, neck, and shoulders.
[0079] In the embodiment of the present invention, the contour of the human body can be obtained by using the background difference method or the frame difference method. Take the inter-frame difference method as an example to explain as follows:
[0080] (1) Perform median filter preprocessing on the image first to remove random noise in the image.
[0081] (2) Select the background image Bx(x,y) from the video image so that it only contains the background image.
[0082] (3) Select two consecutive frames of images from the video image, the previous frame is recorded as Pk-1(x,y), and the current frame is recorded as Pk(x,y...
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