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Intelligent table lamp system based on mode recognition technique

A pattern recognition and table lamp technology, applied in energy-saving control technology, lamp circuit layout, lighting devices, etc., can solve problems such as the inability to detect the distance between the user and the desktop or books, the short emission distance, remind or correct the user's sitting posture, etc., to reduce the number of teenagers Effects of myopia, delaying degree progression, and ensuring good health

Inactive Publication Date: 2013-12-18
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both types of tags have their own advantages and disadvantages: Generally speaking, passive tags are cheap and small in size, but have a shorter transmission distance and smaller memory capacity; while active tags have a longer transmission distance and larger memory capacity , but larger in size and higher in price
[0006] The function of traditional lighting desk lamps is limited to lighting, and the lighting brightness is usually fixed or manually adjusted by the user. It is not energy-saving when the light is strong. Moreover, this type of desk lamp cannot detect the distance between the user and the desktop or books when in use. , it is difficult to remind or correct the user's sitting posture in time. If the user maintains an abnormal posture for a long time, it will easily cause discomfort in the user's cervical spine or shoulders, which will cause harm to health over time.

Method used

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  • Intelligent table lamp system based on mode recognition technique
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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Such as figure 1 As shown, a smart desk lamp system based on pattern recognition technology includes a lamp body, an acquisition module for collecting user sitting posture, a main controller that receives signals from the acquisition module and performs output processing, and an alarm, and the alarm and the main controller electrical connection. The acquisition module collects the user's sitting posture information in time and compares it with the correct sitting posture, outputs the abnormal sitting posture signal to the main controller, and the main controller controls the alarm to make a prompt. The alarm can be a voice prompt or a photoelectric prompt, etc.

[0028] The acquisition module includes a camera and an image processing chip with various correct sitting postures stored inside.

[0029] Camera: Take real-time images of the user's sitting posture and transmit them to the image processing chip for pattern recognition processing.

[0030] Image processing c...

Embodiment 2

[0044] Such as figure 2 As shown, the rest is the same as Embodiment 1, except that the acquisition module includes an RFID sensor integrated with a gravity sensor and an RFID tag, and a reader for reading information from the RFID sensor, and the reader can be integrated on the lamp body. Wherein, the RFID tag is an active RFID tag. The acquisition module is used to monitor the user's head posture. When the head is tilted to a certain angle, the RFID sensor sends this information to the reader, and the reader starts the timer module. After a certain period of time, the voice system starts to prompt "Pay attention to the sitting posture". After a period of inactivity, the system will turn off the lamp.

[0045] The acquisition module also includes a distance sensor arranged on the lamp body. The distance sensor detects the distance between the head of the desk lamp user and the base of the desk lamp (it can be converted into the distance from the writing when reading a book...

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Abstract

The invention discloses an intelligent table lamp system based on a mode recognition technique. The intelligent table lamp system comprises a lamp body, a collection module, a main controller and an alarm. The system uses the collection module to monitor the sitting posture information of a user in real time, the abnormal sitting posture signals are timely transmitted to the main controller, the main controller can control the alarm to give out prompt to correct the sitting posture of the user, the body damage caused by incorrect sitting posture for a long time is avoided, and the body health is guaranteed. Furthermore, a light intensity sensor is utilized to detect external light intensity, the main controller can automatically adjust the brightness of a table lamp according to the external light intensity, the energy consumption is effectively reduced, the requirements of a user for light output are met, the vision of the user can be effectively protected, the juvenile myopia is reduced, and the significance for slowing the degree number of a myope to deepen is achieved. The system can upload the using situations of the user at set intervals, and a method relying on the technique of the Things of Internet and used for the parents to know the learning situations of children is provided.

Description

technical field [0001] The invention belongs to the technical field of lighting desk lamps, and in particular relates to a smart desk lamp system based on pattern recognition technology. Background technique [0002] Pattern recognition (Pattern Recognition) is a basic intelligence of human beings. In daily life, people often perform "pattern recognition". With the emergence of computers in the 1940s and the rise of artificial intelligence in the 1950s, people certainly hope to use computers to replace or expand part of human mental work. (Computer) pattern recognition developed rapidly and became a new discipline in the early 1960s. [0003] A pattern in a broad sense refers to observable things that exist in time and space. If we can distinguish whether they are the same or similar, we can call them patterns. But the pattern refers not to the thing itself, but to the information we get from the thing. Thus, patterns often appear as information with a temporal or spatial...

Claims

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Application Information

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IPC IPC(8): G08B21/24H05B37/02
CPCY02B20/40
Inventor 李云飞何华冰谢忠明严建峰
Owner SUZHOU UNIV
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