Home Intelligent Cleaning System Based on Machine Vision

A machine vision and family technology, applied in the field of detection and reminder, automatic identification of household ground garbage, and automatic cleaning, can solve the problems of intelligent equipment and insufficient timeliness, and achieve a high level of intelligence to improve daily life. Effect

Inactive Publication Date: 2011-12-21
QINGDAO UNIV OF SCI & TECH
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Problems solved by technology

Chinese Patent Publication No. CN200977121, the application publication date was November 21, 2007, the name of the invention is a smart vacuum cleaner device, the invention discloses a new vacuum cleaner device, the disadvantage is that the invention is Final...
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Abstract

The invention discloses a cleaning system which is used in a family and can automatically identify ground garbage and intelligently clean the garbage. In the system, a digital signal processor (DSP) chip serves as a core building embedded platform; an infrared camera is adopted to take a ground image; a wireless radar is adopted to position the position of the garbage to be cleaned; a small dust collector is adopted to clean the ground; and the bottom of the system is provided with a motor to drive vehicle wheels to move to the position of the garbage to clean the garbage. The system has the advantages that: garbage, such as waste paper, peels, plastics, threads, iron scrapes and the like, on the ground can be automatically cleaned; articles, such as keys, coins, pens and the like, which fall onto the ground mistakenly, can be automatically identified; the cleaning area is large; the system works timely; the ground of a family can be kept clean; at the same time, the working noise is low; energy is saved, work is stable and reliable; the system is a cleaning assistant of families and offices; and great convenience can be brought to life of people.

Application Domain

Technology Topic

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  • Home Intelligent Cleaning System Based on Machine Vision
  • Home Intelligent Cleaning System Based on Machine Vision
  • Home Intelligent Cleaning System Based on Machine Vision

Examples

  • Experimental program(1)

Example Embodiment

[0013] The present invention will be described in detail below in conjunction with the drawings.
[0014] Attached Figure one It is the overall structure diagram of this system. As shown in the figure, the system includes a processor platform, infrared camera, radar, vacuum cleaner, infrared communication module, electric motor, wheels and so on. The DSP chip is the core of the processor, connected to SDRAM and FLASH through the EBIU bus, responsible for data calculation and storage; connected to the video decoder chip through the PPI interface, to receive video image data; the infrared communication module was connected to the PF interface of the DSP chip to transmit the remote control The command. The infrared camera is fixed on the rotating column and can be rotated left and right to scan and capture images, and the back end is connected with the video decoding chip on the processor platform. The wireless radar is placed under the camera and also swings with the camera to measure the distance and specific orientation. The electric motor is placed at the bottom and connected to the wheels to control the direction and speed of the system. The suction port of the vacuum cleaner is placed at the bottom of the front end, connected to the trash bin, and is responsible for cleaning.
[0015] Attached Figure II It is the overall software flow chart of the system except for the remote monitoring function. The system adopts Linux embedded operating system and programming based on hardware drivers. After the infrared camera captures the image, it undergoes image filtering, light compensation, grayscale processing, binarization processing, threshold segmentation, feature extraction and other operations, and then detects and recognizes the topological relationship between the foreign object and the surrounding environment and the characteristics of the foreign object itself. If it is a foreign object, the motor rotates to control the rotation of the wheel and advance to the foreign object. If it is garbage, the vacuum cleaner is turned on to clean up foreign objects. If it is a coin, key, etc., the system will alarm to remind you to pick it up. If the infrared communication part receives the data, the system stops the detection, and completes the corresponding operations of forwarding, turning, cleaning, and stopping according to the command. The core part of the whole system is video processing, foreign body detection and recognition. Its workflow is:
[0016] (1) After the camera acquires the original image, it performs preprocessing such as smoothing and enhancement of the image.
[0017] (2) Using the image segmentation technique of relative entropy threshold to obtain the best global threshold to facilitate subsequent feature extraction and recognition.
[0018] (3) Filter the image obtained after segmentation to remove the outlier noise that may be contained.
[0019] (4) Using machine vision invariance method, for the processed image, extract image feature values ​​such as grayscale, texture, color, and structural features as original features, and compare them with the feature values ​​contained in the foreign objects stored in the memory to determine whether they are foreign objects If yes, the motor brakes.
[0020] (5) Compare the detected foreign objects with the characteristics of various foreign objects stored in the database to determine what kind of foreign objects are. If it is garbage, turn on the vacuum cleaner; if it is a coin, key, pen, or magnetic card, turn on an alarm prompt.
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Description & Claims & Application Information

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the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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