This invention relates to design and method for high rise window cleaning.
BACKGROUND OF THE INVENTION
CN110924833B discloses a high-altitude building self-cleaning window which comprises a windowsill arranged on the side wall of a wall body, wherein a glass window is fixedly connected to the side wall of the windowsill, a rotating shaft is rotatably connected to the side wall of the wall body through a bearing, a plurality of fan blades are fixedly connected to the side wall of the rotating shaft, one of the fan blades is made of a magnetic material, an air inlet cavity is arranged in the wall body, the side wall of the air inlet cavity is elastically connected with a magnetic sliding plug through a first spring, homopolar between the magnetic sliding plug and the fan blades is repellent, the upper wall of the air inlet cavity close to the left end is communicated with the outside through an air inlet channel, an air storage cavity is arranged in the wall body, the upper wall of the air storage cavity is communicated with the air inlet cavity through a connecting air channel, a one-way valve is arranged in the connecting air. The invention can greatly save time and energy, ensure the safety of people and greatly save water resources.
Research Gap: 1. Lack of Kinect which capture 3D Image. 2. Lack of Real time positioning measuring system. 3.Lack of servo motor sensors. 4. Lack of microcontroller. 5. Lack of Sticky neural network 6. Lack of IOT 7. Lack of Display Device; and 8. Lack of Ultrasonic.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is design and method for high rise window cleaning.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
Disclosed herein a system for high rise window cleaning Raspberry Pi (1), Kinect Sensor (2), Plural of servo motor sensors (3-7), Ultrasonic sensor (8-9), Neural sticky (10), Motor Driver (11), Plural of motors (12-15), and power supply (16); wherein The Raspberry Pi provides a set of GPIO (general purpose input/output) pins, allowing to control electronic components for physical computing and explore the Internet of Things (IoT).
In another embodiment, the servo motor also used for the motion of robotic arms. The group of ultrasonic sensors are used here to detect the obstacles in the path of Raspberry pi controller.
In another embodiment, the four motors have used here to move the controller in 360 degree; and the motor driver behaves as an intermediary between the raspberry pi and motors. The microcontroller works on the low control current and motor works on high control current, So the motor driver controls the current for the motors.
In another embodiment, the power supply provides to the device either by adapter and battery; and the neural stick is used as a co-processor for the neural stick must use here to match the image of window from the available images in database using deep learning.
In another embodiment, the GPU have been used here to compute all the processing for window current image; and the Raspberry Pi provides a set of GPIO (general purpose input/output) pins, allowing to control electronic components for physical computing and explore the Internet of Things (IoT).
In another embodiment, the Neural Stick (NS) is a tiny fan less deep learning device that you can use to learn AI algorithm; and Neural Stick enables rapid prototyping. An array of sensors to sweep robot arm with high accuracy and no delay to measure positional distance in front of the array; and also having extra mechanical complexity like a servo that protect the hardware to failure.
In another embodiment, Kinect sensor is motion sensor which identifies individual object through face recognition and voice recognition.
In another embodiment, a depth camera, which capture in 3-D, and creates a skeleton image of an object and a motion sensor detects their movements; and a servo motor is an electromechanical device that produces torque and velocity based on the supplied current and voltage.
In another embodiment, a servo motor works on a closed loop system providing torque and velocity to robotic arm as commanded from a servo controller utilizing a feedback device to close the loop.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The Window cleaning are the emerging things of today because there are lots of place where we cannot clean the glass directly. The high-level glasses are difficult to clean. We face lots of problem to clean the glasses. The current condition of the glass is also the major issue of today. There are lots of dust available on windows but the windows are not touchable due to their height.so it is difficult to clean such windows manually. To overcome this condition our purposed design have used for cleaning window with fast and higher degree of accuracy.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig.1. Architecture of Controller for Cleaning Window
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The smart device is used for the cleaning purpose of high window’s glass. The device uses here servo motor that provides the functionality to Kinect to move in any direction. The servo motor also used for the motion of robotic arms. The group of ultrasonic sensors are used here to detect the obstacles in the path of Raspberry pi controller. The four motors have used here to move the controller in 360 degree. The motor driver behaves as an intermediary between the raspberry pi and motors. The microcontroller works on the low control current and motor works on high control current, So the motor driver controls the current for the motors. The power supply should provide to the device either by adapter and battery. The neural stick has used as a co-processor for the neural stick must use here to match the image of window from the available images in database using deep learning. The GPU have been used here to compute all the processing for window current images.
The Raspberry Pi provides a set of GPIO (general purpose input/output) pins, allowing to control electronic components for physical computing and explore the Internet of Things (IoT). The Neural Stick (NS) is a tiny fanless deep learning device that you can use to learn AI algorithm. Neural Stick enables rapid prototyping. An array of sensors to sweep robot arm with high accuracy and no delay to measure positional distance in front of the array. Also having extra mechanical complexity like a servo that protect the hardware to failure. Kinect sensor is motion sensor. The Kinect system identifies individual object through face recognition and voice recognition. A depth camera, which capture in 3-D, and creates a skeleton image of an object and a motion sensor detects their movements. A servo motor is an electromechanical device that produces torque and velocity based on the supplied current and voltage. A servo motor works on a closed loop system providing torque and velocity to robotic arm as commanded from a servo controller utilizing a feedback device to close the loop.
ADVANTAGES OF THE INVENTION:
1 - It can capture images of cleaning area on window.
2 - It can be used for high level window as well as lower level windows.
3 - This devise work effectively in any direction.
4 - The data can easily match with help of deep learning from the previous available database by which the current condition can be easily identified.
5 - The major advantage of our design is the use of Kinect that provides the 3D images of window glass.

Novel Features of the Invention:

1. The intelligence device is used here to recognize the exact location of dust in window screen. The device consists of the several sensors for identifying the exact distance from the top and bottom surface of the earth. capture the image and give the instruction to the robotic arm. The Sticky neural network is used here to feed algorithm. The novelty of design is cleaning the window glass easily at any height with 360-degree flexibility. One of the major novelties of our design is that we have used Kinect sensor to capture the 3 D images which can be reflect the current condition of window glass. We have used here deep learning algorithms to identify the current situation of window glass.

WE CLAIM:

1. A system for high rise window cleaning Raspberry Pi (1), Kinect Sensor (2), Plural of servo motor sensors (3-7), Ultrasonic sensor (8-9), Neural sticky (10), Motor Driver (11), Plural of motors (12-15), and power supply (16); wherein The Raspberry Pi provides a set of GPIO (general purpose input/output) pins, allowing to control electronic components for physical computing and explore the Internet of Things (IoT).
2. The system as claimed in claim 1, wherein the servo motor also used for the motion of robotic arms; and the group of ultrasonic sensors are used here to detect the obstacles in the path of Raspberry pi controller.
3. The system as claimed in claim 1, wherein the four motors have used here to move the controller in 360 degree; and the motor driver behaves as an intermediary between the raspberry pi and motors. The microcontroller works on the low control current and motor works on high control current, So the motor driver controls the current for the motors.
4. The system as claimed in claim 1, wherein the power supply provides to the device either by adapter and battery; and the neural stick is used as a co-processor for the neural stick must use here to match the image of window from the available images in database using deep learning.
5. The system as claimed in claim 1, wherein the GPU have been used here to compute all the processing for window current image; and the Raspberry Pi provides a set of GPIO (general purpose input/output) pins, allowing to control electronic components for physical computing and explore the Internet of Things (IoT).
6. The system as claimed in claim 1, wherein the Neural Stick (NS) is a tiny fan less deep learning device that you can use to learn AI algorithm; and Neural Stick enables rapid prototyping. An array of sensors to sweep robot arm with high accuracy and no delay to measure positional distance in front of the array; and also having extra mechanical complexity like a servo that protect the hardware to failure.
7. The system as claimed in claim 1, wherein Kinect sensor is motion sensor which identifies individual object through face recognition and voice recognition.
8. The system as claimed in claim 1, wherein a depth camera, which capture in 3-D, and creates a skeleton image of an object and a motion sensor detects their movements; and a servo motor is an electromechanical device that produces torque and velocity based on the supplied current and voltage.
9. The system as claimed in claim 1, wherein a servo motor works on a closed loop system providing torque and velocity to robotic arm as commanded from a servo controller utilizing a feedback device to close the loop.