AU2021106805A4 - An automatic Debris Cleaning system with machine learning module to identify precious metal - Google Patents

Abstract

An automatic Debris Cleaning system with machine learning module to identify precious metal This invention is built to safely clean the debris after proper understanding of the condition and the efforts that needs to be put in the cleaning and the design system ha a smart machine learning module to perform efficient action. The system is made responsive to debris on a floor or other surface to be cleaned, with reduced sensitivity to variations in airflow, instantaneous power, or other operational conditions of the cleaning device. The cleaning apparatus includes a drive system operable to enable movement of the cleaning apparatus; the controller including a processor operable to control the movement of the cleaning apparatus; and a debris sensor for generating a debris signal indicating that the cleaning apparatus has encountered debris Here the device can move autonomously reducing the danger of life as traditionally man power is used to do the process. The system can detect the depth of the debris and the type so that its movement can be coordinated well while cleaning. It is also made capable to identify precious metals which can be reused for multi-purposes. SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri e Mrs. Aparna Dayyala Mrs. Chandini BanapuramJL Mrs. G vijaya Shanthi Mrs.Raziya Begum ' Sheet 1 of 4 APPLICANT Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum 6 (DN FIGURE - 1: Side View Of The Robotic Debries Cleaning Device SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar.4 Dr. Madhavi Pingili Mr. P. Nagaraju 4. Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala y Mrs. Chandini Banapuramd- Mrs. G vijaya Shanthi Mrs.Raziya Begumm

Description

Sheet 1 of 4

APPLICANT Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum

6

(DN

FIGURE - 1: Side View Of The Robotic Debries Cleaning Device

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar.4 Dr. Madhavi Pingili Mr. P. Nagaraju 4. Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala y Mrs. Chandini Banapuramd- Mrs. G vijaya Shanthi Mrs.Raziya Begumm

TITLE

An automatic Debris Cleaning system with machine learning module to identify precious metal.

FIELD OF THE INVENTION AND USE OF INVENTION

[0001] This invention relates to the field of mechanical engineering and electronics engineering more particularly to a cleaning machine which can sense the type and the depth of the debris and can sense if any precious metal is available inside it.

[0002] Here a system is designed which contains a debris sensor for sensing the type of debris in a cleaning path of a cleaning machine and for enabling control of an operational mode of the cleaning machine. It is also attached with an electronic sensing of shallow buried objects in the ground surface over large areas, and more particularly a maintenance systems for monitoring changing conditions and deterioration in municipal infrastructures over time, and for locating, distinguishing and designating small obscured bits and pieces including precious metals. This invention can be used in harzardous site where there is threat to human life and to efficiently clean the debris by sensing the situation and the materials buried underneath it.

PRIOR ART AND PROBLEM TO BE SOLVED

[0003] Cleaning work is a continuous process in our country as somewhere building are destroyed and somewhere they are continually being constructed. At times these buildings are prone to varying types of accidents due to which huge amount of debris gets accumulated and the destruction can be caused due to natural or man made calamities. The term "debris" is used herein to collectively denote dirt, dust, and/or other particulates or objects. Robotic engineers have long worked on developing an effective method of autonomous cleaning. This has led to the development of two separate and distinct schemes for autonomous machines including deterministic cleaning; and random cleaning.

[0004] In deterministic cleaning, where the cleaning rate equals the coverage rate and is, therefore, a more efficient cleaning method than random-motion cleaning, the autonomous machine follows a defined path. A suitable positioning system, a positioning system suitably accurate for deterministic cleaning might rely on scanning laser ranging systems, ultrasonic transducers, a carrier phase differential GPS, or other sophisticated methods is typically prohibitively expensive and labor intensive, requiring an involved pre-setup to accommodate the unique conditions of each area to be cleaned. In addition, methods that rely on global positioning are typically incapacitated by failure of any part of the positioning system. The manual methods used for the cleaning using human resource have resulted in life threatening situations and so this method is also not safe. On the other hand, the construction crews seem to be routinely ripping accidently into buried wires, pipes, and vaults in spite of many official programs and laws for them not to dig without checking first. Sometimes these failures are harmless and little damage is done, but other times serious and catastrophic breaches can occur that take lives, inflict injuries, and costs millions. Even when the debris is being cleaned, there is the possibility of obtaining obscured objects, including precious metals and articrafts which can be of abundant value so a mechanism to work simultaneously is not available in the present designs.

[0005] This invention provides a proficient system where a debris sensor that is capable of instantaneously sensing and responding to debris strikes, and which is immediately responsive to debris on a floor or other surface to be cleaned, with reduced sensitivity to variations in airflow, instantaneous power, or other operational conditions of the cleaning device is designed to solve the problems faced by the prior art using Machine Learning.It would also be useful to provide an autonomous cleaning device having operational modes, patterns of movement or behavior responsive to detected debris, for example, by steering the device toward "dirtier" areas based on signals generated by a debris sensor. In this apparatus it is possible to select or vary operational modes of either an autonomous or non-autonomous cleaning machine. This system is also attached to an antenna array over large areas or distances. The antenna array comprises dozens of compartmentalized radio dipole antennas arranged laterally, shoulder to-shoulder across the width of each sweep. An antenna switch matrix is connected between the antenna array and a ground-penetratin gradar set and provides electronic aperture switching and selection, and the ability to laterally register one sweep to the next. It is also equipped with the facility to identify the various shifts in the measured input impedance of a directional resonant microwave patch antenna over short periods are interpretable as significant objects worth monitoring or just debris.

THE OBJECTIVE OF THE INVENTION:

[0006] The cleaning of drainage ditches alongside roadways and highways is generally undertaken by using direct man power of several men employing shovels and rakes to collect debris in spaced piles It is, frequently, desirable to excavate debris, clean it and obtain desired substances during the cleaning process. As interest in the land grows, governmental agencies continuously issue more and more stringent standards concerning material, such as debris, which contain substances that may be harmful if not removed. As a result, industries which had, heretofore, only provided primary services to remove certain substances are now faced with the necessity of providing additional services to remove even more substances from debris. Additionally, certain industries are often faced with the burden of paying surcharges for inadequately removing substances from debris. When man power is used in the cleaning procedure many incidence which has resulted in harm to the human lives have occurred.

[0007] It has already been proposed where machinery has been designed to create ditches, various kinds of conventional, mobile, portable equipment and methods are in use worldwide to scan the top layers and surfaces of the ground to detect and locate valuable, vulnerable, or hazardous objects. A mechanism where debris sensors are optical in nature are used for cleaning procedure where, using a light emitter and detector. A vacuum cleaner, the light transmitter and the light receiver of the optical sensor are positioned such that they are exposed into the suction passage or cleaning pathway through which dust flows. During usage of the vacuum cleaner, therefore, dust particles tend to adhere to the exposed surfaces of the light transmitter and the light receiver, through which light is emitted and detected, eventually degrading the performance of the optical sensor. So it is necessary to provide an autonomous cleaning device having operational modes, patterns of movement or behaviors responsive to detected debris

[0008] The principal objective of the system is the provision of a debris detection and removing system wherein a mechanism to identity the depth and type of debris using a machine learning programmed cleaning machine containing such a sensor assembly. The debris sensor can generate a debris signal indicating that the cleaning machine has encountered debris; wherein the processor is responsive to the debris signal to select an operative mode from among predetermined operative modes of the cleaning machine.

[0009] Another Objective of the system is that the possibility of selection of operative mode which could include selecting a pattern of movement of the cleaning machine. The autonomous cleaning machine includes a drive system operable to enable movement of the cleaning machine;to provide at least one pattern of movement of the cleaning machine.The pattern of movement can include spot coverage of an area containing debris, or steering the cleaning machine toward an area containing debris. The debris sensor could select a pattern of movement, such as steering toward a side including left or right side with more debris.

[0010] A further objective of the system is that it can also be incorporated into an autonomous and non-autonomous cleaning machine. The change in operating mode could include illuminating a user-perceptible indicator light, changing a power setting, or slowing or reducing a movement speed of the apparatus. The autonomous working can reduce the danger to human life by send the machine alone to the destruction prone area for clearance.

[0011] A further objective of the system is the ability to verify and to interpret the debris as significant objects worth monitoring or just debris. Plastic or metal objects that differ in their dielectric characteristics from the surrounding soils will manifest electronically as inward or outward spikes on the spiral function. Software interprets these spikes as possible objects and their magnitude are telltale of their relative sizes.

SUMMARY OF THE INVENTION

[0012] The buildings are continuously being constructed and multiple structures are destroyed for reconstruction a lot of debris is collected in the form of dust, dirt and other forms which required to be cleaned to make ways for new and improved construction. At times during any natural calamity the debris of the fallen building clog the drainage pipes and road and building gets submerged inside the soil and cleaning procedures is manadatorily required. Basically human resource is used along with the machine for the purpose and it has turned catastrophic for many as it is dangerous at times and incidences of building collapsing and the people dying of suffocation is known. The process is usually hectic and it consumes a lot of valuable time over and above it is even hazardous as the debris usually contains broken wires and sharp objects . Multiple systems have been suggested but none have been proven optimal. Here an inventive system is designed with machine learning which can work autonomously and if required non- autonomously to clean the debris. The cleaning machine includes a drive system operable to enable movement of the cleaning machine; a controller in communication with the drive system, the controller including a processor operable to control the drive system to provide at least one pattern of movement of the cleaning machine; and a debris sensor for generating a debris signal indicating that the cleaning machine has encountered debris; wherein the processor is responsive to the debris signal to select an operative mode from among predetermined operative modes of the cleaning machine. The system is also equipped with the facility to detect if during the cleaning there are any hazard or danger. It also has been equipped with the facility to identify if there is any precisious object or metal including gold inside the debris. This facility will help to dig out any important stuff which could serve to be valuable during the dig.

DETAILED DESCRIPTION:

[0013] While the present invention is described herein by way of example, using various embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiment of drawing or drawings described nor designed to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated with specific figures, for ease of illustration, and such omissions do not limit the embodiment outlined in any way. The drawings and detailed description for it are not intended to restrict the invention to the form disclosed, but on the contrary, the invention covers all Modification/s, equivalents, and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this specification, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning, must).

[0014] Further, the words "an" or "a" mean "at least one" and the word "plurality" means one or more unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not supposed to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely to provide a context for the present invention.

[0015] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is also understood that we contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group comprising", "including", or "is" preceding the recitation of the element or group of elements and vice versa.

[0016] The present invention is about a system which is useful in the cleaning procedure of the debris where an autonomous cleaning machine is designed in which a debris sensor according to the present invention may be incorporated. The cleaning device has a generally disk-like housing infrastructure that includes a chassis and an outer shell secured to the chassis that defines a structural envelope of minimal height to facilitate the movement. The hardware comprising the machine can be generally categorized as the functional elements of a power system, a motive power system, a sensor system, a control module, a side brush assembly, or a self-adjusting cleaning head system, respectively, all of which are integrated in combination with the housing infrastructure. In addition to such categorized hardware, the machine further includes a forward bumper having a generally arcuate configuration and a nose-wheel assembly.The forward bumper is integrated in movable combination with the chassis by means of displaceable support members pairs to extend outwardly therefrom. Whenever the machine impacts an obstacle including a wall, furniture during movement thereof, the bumper is displaced (compressed) towards the chassis and returns to its extended (operating) position when contact with the obstacle is terminated.

[0017] The nose-wheel assembly is mounted in biased combination with the chassis so that the nose-wheel sub-assembly is in a retracted position due to the weight of the machine during cleaning operations wherein it rotates freely over the surface being cleaned. When the nose-wheel subassembly encounters a drop-off during operation comprising of a descending stairs, split-level floors, the nose-wheel assembly is biased to an extended position. The hardware of the power system, which provides the energy to power the electric-operated hardware of the machine, comprises a rechargeable battery pack and associated conduction lines that is integrated in combination with the chassis.

[0018] The motive power system provides the means that propels the machine and operates the cleaning mechanisms, consisting of the side brush assembly and the self-adjusting cleaning head system, during movement of the machine. The motive power system comprises left and right main drive wheel assemblies, their associated independent electric motors, and electric motors for operation of the side brush assembly and the self-adjusting cleaning head subsystem, respectively.The electric motors are mechanically coupled to the main drive wheel assemblies, respectively, and independently operated by control signals generated by the control module as a response to the implementation of a behavioral mode, or, as discussed in greater detail below, in response to debris signals generated by left and right debris sensor. Independent operation of the electric motors allows the main wheel assemblies to be rotated at the same speed in the same direction to propel the machine in a straight line, forward or aft; differentially rotated including the condition wherein one wheel assembly is not rotated to effect a variety of right and/or left turning patterns over a spectrum of sharp to shallow turns for the machine and rotated at the same speed in opposite directions to cause the machine to turn in place, to provide an extensive repertoire of movement capability for the machine . The sensor system comprises a variety of different sensor units that are operated to generate signals that control the behavioral mode operations of the machine. The machine learning algorithm is designed to identify the working process and further works efficiently in the environment, autonomously. The described machine includes obstacle detection units, cliff detection units, wheel drop sensors, an obstacle-following unit, a virtual wall omnidirectional detector, stall-sensor units, main wheel encoder units, and, in accordance with the present invention, left and right debris sensors. The obstacle detection units can be IR break beam sensors mounted in combination with the displaceable support member pairs of the forward bumper. These detection units are operated to generate one or more signals indicating relative displacement between one or more support member pairs whenever the machine impacts an obstacle such that the forward bumper is compressed. These signals are processed by the control module to determine an approximate point of contact with the obstacle relative to the fore-aft axis of the machine.

[0019] The cliff detection units are mounted in combination with the forward bumper

. Each cliff detection unit comprises an IR emitter-detector pair configured and operative to establish a focal point such that radiation emitted downwardly by the emitter is reflected from the surface being traversed and detected by the detector. If reflected radiation is not detected by the detector, including, a drop-off is encountered, the cliff detection unit transmits a signal to the control module.

[0020] A wheel drop sensor such as a contact switch is integrated in combination with each of the main drive wheel assemblies and the nose wheel assembly and is operative to generate a signal whenever any of the wheel assemblies is in an extended position, that is, not in contact with the surface being traversed, which causes the control module to implement one ore more behavioral modes. The obstacle-following unit for the described embodiment is an IR emitter-detector pair mounted on the'dominant'side.The unit is operative to transmit a signal to the control module whenever an obstacle is detected as a result of radiation reflected from the obstacle and detected by the detector. The control module, in response to this signal, causes one or more behavioral modes to be implemented.

[0021] The control module comprises the microprocessing unit that includes I/O ports connected to the sensors and controllable hardware of the machine, amicrocontroller and ROM and RAM memory. The I/O ports function as the interface between the microcontroller and the sensor units including left and right debris sensors and controllable hardware, transferring signals generated by the sensor units to the microcontroller and transferring control signals generated by the microcontroller to the controllable hardware to implement a specific behavioral mode. The microcontroller is operative to execute instruction sets for processing sensor signals, implementing specific behavioral modes based upon such processed signals, and generating control (instruction) signals for the controllable hardware based upon implemented behavioral modes for the machine The cleaning coverage and control programs for the machine are stored in the

ROM of the microprocessing unit,which includes the behavioral modes, sensor processing algorithms, control signal generation algorithms and a prioritization algorithm for determining which behavioral mode or modes are to be given control of the machine. The RAM of the microprocessing unit is used to store the active state of the machine , including the ID of the behavioral mode(s) under which the machine is currently being operated and the hardware commands associated therewith.

[0022] The cleaning capability of the machine is commonly characterized in terms of the width of the cleaning head system.The cleaning brush assembly comprises asymmetric, counter-rotating flapper and main brush elements , respectively, that are positioned forward of the vacuum assembly inlet , and operative to direct particulate debris into a removable dust cartridge the autonomous cleaning machine can also include left and right debris sensor elements , which can be piezoelectric sensor elements. The piezoelectric debris sensor elements can be situated in a cleaning pathway of the cleaning device, mounted, for example, in the roof of the cleaning head, so that when struck by particles swept up by the brush elements and/or pulled up by vacuum, the debris sensor elements generate electrical pulses representative of debris impacts and thus, of the presence of debris in an area in which the autonomous cleaning device is operating.

[0023] The machine can employ a variety of behavioral modes to effectively clean a defined working area where behavioral modes are layers of control systems that can be operated in parallel using the intelligence provided by the machine learning module. Coverage behavioral modes are primarily designed to allow the machine to perform its cleaning operations in an efficient and effective manner and the escape and safety behavioral modes are priority behavioral modes implemented when a signal from the sensor system indicates that normal operation of the machine is impaired, including when obstacle encountered, or is likely to be impaired. The machine can momentarily implement a behavioral mode to avoid or escape the obstacle and resume operation under control of the spiral algorithm. Alternatively, the machine can momentarily implement a behavioral mode to avoid or escape the obstacle and resume operation under control of the spiral algorithm.

[0024] The autonomous cleaning device is incorporated with a debris sensor. the debris sensor subsystem comprises left and right piezoelectric sensing elements situated proximate to or within a cleaning pathway of a cleaningdevice, and electronics for processing the debris signal from the sensor for forwarding to a microprocessor or other controller. When employed in an autonomous, robot cleaning device, the debris signal from the debris sensor can be used to select a behavioral mode (such as entering into a spot cleaning mode), change an operational condition (such as speed, power or other), steer in the direction of debris (particularly when spaced apart left and right debris sensors are used to create a differential signal), or take other actions. A further practice of the invention takes advantage of the motion of an autonomous cleaning device across a floor or other surface, processing the debris signal in conjunction with knowledge of the cleaning device's movement to calculate a debris gradient. The debris gradient is representative of changes in debris strikes count as the autonomous cleaning machine moves along a surface. By examining the sign of the gradient comprising of positive or negative, associated with increasing or decreasing debris, an autonomous cleaning device controller can continuously adjust the path or pattern of movement of the device to clean a debris field most effectively a piezoelectric sensor converts mechanical energy that is the kinetic energy of a debris strike and vibration of the brass disk into electrical energy, in this case, generating an electrical pulse each time it is struck by debris and it is this electrical pulse that can be processed and transmitted to a system controller to control or cause a change in operational mode. one purpose of a debris sensor is to enable an autonomous cleaning machine to sense when it is picking up debris or otherwise encountering a debris field. This information can be used as an input to effect a change in the cleaning behavior or cause the apparatus to enter a selected operational or behavioral mode, such as, for example, the spot cleaning mode described above when debris is encountered. The invention enables an autonomous cleaning device to control its operation or select from among operational modes, patterns of movement or behaviors responsive to detected debris, for example, by steering the device toward "dirtier" areas based on signals generated by the debris sensor.

[0025] The system is also equipped with an antenna array to detect any valuable objects which might be submerged in the debris which is being cleaned. The antenna array is equipped with a switch matrix. This is linked by radio frequency (RF) modems or hardwire chassis . A GPR card includes a software defined ground penetrating radar set that produces in-phase and quadrature-phase digitized samples . These are processed by a single board computer. A GPS navigation receiver provides concomitant location fixes with corresponding samples

. Rendering of objects and their corresponding ground locations are rendered by single board computer on a user display. The individual antenna elements are independently cycled in sequence during each lateral scan of the debris. At any one instant, a switching matrix will connect only one such antenna element to a radar transmitter and only one other such antenna element to a radar receiver.

[0026] Thus a variety of perspectives is possible. Characteristic patterns in the radar data obtained from the shallow buried objects and GPS are used to control the switching matrix so that virtual radar data can be collected from the same antenna-pair perspectives above the debris. The depth of data collection is typically complied to those depths of objects that can be easily or inadvertently exposed or disturbed by surface vehicles, that is no more than a foot or two of depth. Other applications will require deeper investigations. The data obtained is analysed to verify the type of material which have been observed so that the valuable material can be received and it can be retrived safely during the cleaning procedure. The apparatus helps in fabrication, and testing of hardened, rugged, mobile, and deployable ground penetrating radar hardware. This means the equipment must be able to function reliably and consistently while being abused by operators, bad weather, harsh environment, strong vibration, extreme heat, and even bullets.

FIGURE DESCRIPTION

[0027] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate an exemplary embodiment and, together with the description, serve to explain the disclosed embodiment. In the figures, the left and rightmost digit(s) of a reference number identify the figure in which the reference number first appears. The same numbers are used throughout the figures to reference like features and components. Some embodiments of the system and methods of an embodiment of the present subject matter are now described, by way of example only, and concerning the accompanying figures, in which:

[0028] Figure - 1 illustrates a robotic cleaning device, the cleaning brush assembly comprises asymmetric, counter-rotating flapper and main brush elements (6), respectively, that are positioned forward of the vacuum assembly inlet (7), and operative to direct particulate debris into a removable dust cartridge (1). The sensor elements (2) are located substantially at an axis along which main and flapper brushes. It contains an acoustic vibration filter/RFI filter module (4), a signal amplifier (3), a reference level generator (5).

[0029] Figure - 2 illustrates the circuit diagram of a microprocessor (8) where the circuitry has the Cliff Sensor (9), Bump Sensor (10), Debris sensor (11 ), Indicator LED (12), User Button LEDs(13), Right Wheel Motor (14), Left wheel Motor (15), Vacuum Motoe (16), Brush Motor (17),Battery (18), RS232 (19), Wheel Drop Sensor (20), Wall Sensor (21), have been linked.

[0030] Figure - 3 illustrates is a schematic diagram of a debris sensor signal processing architecture containing Comparator (28) , Pulse Stretcher(29), Reference Level Generator(26), Attenuator (27), Signal Amplifier(25), Acoustic Vibration Filter (31),Sensor Element (32), Logic Level Output controller (30)

[0031] Figure - 4 illustrates the functional block diagram of an electronic road sensing system or mobile ground penetrating radar (GPR) system for finding shallow buried objects comprising of CPU (35), GPR (36), Display (33), GPS(34), Charger (38), Battery(37),Switch Matrix (39), Antenna array (40)

EDITORIAL NOTE 2021106805

There is 1 page of claims only.

WE CLAIM THAT:

1. A system that can autonomously function to detect and remove debris from places where human access is difficult and is dangerous to life, this system has sensor assembly to identify the dept of debris and the cleaning the debris making space along with providing the route data to the user in case the system needs to be diverted manually to perform an action. 2. The debris cleaning system as claimed in Claim -1, the system is attached with multiple sensor assembly to send signal indicating debris and the processor is responsive to the debris signal to select an operative mode from among predetermined operative modes of the cleaning machine. 3. The debris cleaning system as claimed in Claim - 1, the system is capable of functioning in an autonomous and manually controlled fashion using the machine learning module that makes it intelligent and it a remote operable smart cleaning system to clean the detected debris. 4. The debris cleaning system as claimed in Claim - 1, the system is capable of providing path of movement of the system in the areas including the spot coverage of an area containing debris, or steering the cleaning machine toward an area containing debris. 5. The debris cleaning system as claimed in Claim - 1 is provisioned with remote monitoring and machine learning so as to control the cleaning machine among the debris and to identify significant objects including metals consisting od gold silver and other which are worth saving.

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju 4 Mrs. Leela Sravanthi A. Ms. Kummari Jayasri g Mrs. Aparna DayyalaQ:. Mrs. Chandini Banapuram Mrs. G vijaya Shanthi -"

Mrs.RaziyaBegum S j

Sheet 1 of 4

APPLICANT 24 Aug 2021

Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum 2021106805

FIGURE – 1 : Side View Of The Robotic Debries Cleaning Device

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum

Sheet 2 of 4

APPLICANT 24 Aug 2021

Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum 2021106805

FIGURE: 2 Schematic Diagram of a Microprocessor Assembly

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum

Sheet 3 of 4

APPLICANT 24 Aug 2021

Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum 2021106805

FIGURE – 3 : Schematic Diagram Of A Debris Sensor Signal Processing Architecture

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum

Sheet 4 of 4

APPLICANT 24 Aug 2021

Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum 2021106805

FIGURE – 4 : Block Diagram Of An Electronic Road Sensing System

SIGNATURE Dr. Sridhar Manda Dr. A. Arun Kumar Dr. Madhavi Pingili Mr. P. Nagaraju Mrs. Leela Sravanthi A. Ms. Kummari Jayasri Mrs. Aparna Dayyala Mrs. Chandini Banapuram Mrs. G vijaya Shanthi Mrs.Raziya Begum