CLIAMS:1. A weight measuring system using 3D coordinates of measurement points of an object surface comprising:
- A co-ordinate recording module
- A volume computation module
- A pre-determined density fetching module
- A scanning apparatus
- At least one learning algorithm to compute trends and a plurality of object density value
- An unmanned, controllable, automotive aerial vehicle carrying the scanning apparatus

2. A weigh measuring method system using 3Dcoordinatesof measurement points of an object surface comprising the steps of:
- Scanning 3D co-ordinates of an object
- Computing volume of the object
- Fetching pre-determined density value
- Recording 3D co-ordinates of the object
- Computing trends and a plurality of object density values based on at least one learning algorithm
- Carrying the scanning apparatus in an unmanned, controllable, automotive aerial vehicle
,TagSPECI:FIELD OF THE INVENTION:
[001] The present invention relates in general to weight measurement system using 3D co-ordinates of measurement points on a large body surface which has a suitable scanning apparatus focused for measuring the measurement points on the large body surface and for determining measurement point coordinates in a scanning coordinate system. The scanning apparatus is an unmanned, controllable, automotive aerial vehicle

BACKGROUND OF THE INVENTION:
[002] Approximate weight measurement of large bodies like heavy vehicles, cars, trucks, cement bags, trains and aircrafts will help the designers to gain an insight into live loads and dead loads especially the large bodies like bridges, and ship bodies. Design of systems that work in complimentary to these large bodies needs an estimation of load exerted by these large bodies on surrounding media.But the movement of large body onto a regular weigh bridge often is a time, resource and effort consuming cumbersome process and even sometime it becomes difficult to bring the large body to weighing bridge for weight measurement.

SUMMARY OF THE INVENTION:
[003] The object of the present invention is to provide a weight measurement system using 3D co-ordinates of measurement points on a large body surface which has a suitable scanning apparatus focused for measuring the measurement points on the large body surface and for determining measurement point coordinates in a scanning coordinate system. The scanning apparatus is an unmanned, controllable, automotive aerial vehicle.

[004] In another aspect, the present invention provides a system for weight computation of large object using 3D co-ordinates to determine volume and also pre-identified density of the object.

[005] In yet another object of the present invention, a weight measurement method using 3D co-ordinates comprising the steps of; recording the 3D co-ordinates of an object to calculate volume, initiating scanning of the object using a laser pointer, fetching density value for the object, generating learning algorithm based trends and computation of object density value

BRIEF DESCRIPTION OF THE DRAWINGS:
[006] The advantages and features of the present invention will become better understood with reference to the following more detailed description taken in conjunction with the accompanying drawings in which:

[007] FIG 1 illustrates the high level block diagram of the weight measurement system using 3D co-ordinates;

[008] FIG 2 illustrates a representative flow chart of weight measurement method using 3D co-ordinates;

[009] FIG 3 illustrates a diagrammatic representation of a topographic view of a large object which needs to measure volume, density and weight using the system and methods of this invention;

[010] FIG 4 illustrates the triangulation schematic between the object, laser source and camera;

[011] FIG 5 illustrates an unmanned aerial vehicle or drone coupled with a suitable scanning apparatus for measuring 3D co-ordinates and a holding box for contact based density measurement;

DETAILED DESCRIPTION OF THE DRAWINGS:
[012] The following description is intended to convey a thorough understanding of the present disclosure by providing a number of specific embodiments and details involving weight measurement using 3D co-ordinates of measurement points on a large body surface which has a scanning apparatus for measuring the measurement points on the large body surface and for determining measurement point coordinates in a scanning coordinate system. It is further understood that one possessing ordinary skill in the art, in light of known systems and methods, would appreciate the use of the disclosure for its intended purposes and benefits in any number of alternative embodiments, depending upon specific design and other needs.

[013] As used herein, the term ‘plurality’ refers to the presence of more than one of the referenced item and the terms ‘a’, ‘an’, and ‘at least’ do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.

[014] The trademarks, company names, etc. used in the present description are property of the respective owner companies and used herein for illustrative purposes only. The applicant does not claim any rights on such terms.

[015] A weight measuring system of this type according to the invention can enable the measurement of objects such that the positioning of the measuring measurement unit, i.e. of the aerial vehicle, takes place fully automatically and thus in particular an iterative approach by a user to a specified target point or a surface is not necessary. For this purpose, the aerial vehicle can be internally controlled or remotely controlled to a defined position, e.g. using radio signals or using signals that are transmitted to the aerial vehicle by cable, via infrared or via Bluetooth. In addition, power can be supplied to the aerial vehicle via a cable, which connects the aerial vehicle to a remote control and/or to the referencing arrangement. E.g. a flying drone can be used as the aerial vehicle, which can be positioned using targeted control of motorized rotors, wherein the aerial vehicle is unmanned and can be moved using the provided motors, in particular under remote control.

[016] Referring to FIG. 1 that illustrates Easy Weigh ™ is a system and method for weight measurement of large bodies which are difficult to be lifted and put on generic weight measuring instrumentation. Usually this way of weight measurement needs huge mechanical work to lift these large bodies and get the weight measured. In Easy weight is an easy to do method with less dependency on external mechanical work.
Weight of Large body=Volume * Density

There are three sub systems for weight measurement using 3D co-ordinates:

i). Volume measurement using mapping of 3D co-ordinates
ii). Density measurement
iii) Weight algorithm

1. Volume Measurement& 3D Mapping

Volume measurement & Mapping is crucial step for weight measurement, there are numerous techniques are available for 3Dmapping and majority of them are LASER based. Building 3D models is important in many applications, ranging from virtual visits of historical buildings, to game and entertainment, to risk analysis in mines, tunnels and partially collapsed buildings. Existing systems for building 3D representation of environments have been developed at different scales: city, buildings, indoor environments, objects, presenting many differences in the sensors and in methods used to acquire data, in the techniques used to process the data, and in the kind of result computed. Many different sensors have been used for data acquisition. Cameras are the main sensors, since they provide images that contain a very high amount of information: geometry of the scene, colors, textures, etc. However, these data are very difficult to analyze, since Computer Vision problems are still very challenging in real, unstructured environments. To retrieve information about the geometry of the environment, 2D and 3D Laser Range Finders (LRF) are very useful since they provide very precise measurements of the environment.

[017] 2. Density Measurement
Density measurement is done using two methods as below density measurement:
• Contact type
• Non contact type

2.1 Contact Method (Standard Box)

In this method standard boxes will be Density is a physical characteristic

1.2. Non-Contact method

Density is a physical characteristic which depends on the experimental technique used and structural properties of object. True, apparent, and bulk are different types of densities based on the way volume is measured. For porous objects such as grain object products, accurate measurement of density is challenging. Current measurement techniques for object density are inconsistent and object databases do not have sufficient density data. Computed tomography (CT) and magnetic resonance imaging (MRI), laser scanners are non-destructive diagnostic tools for characterizing object microstructure. The objectives of this study were to optimize the parameters of CT, MRI, and laser scanner to determine object density and compare the corresponding values with other traditional techniques, and 2) to develop neural networks as a prediction method for apparent and bulk densities. MicroCT 40 (Scano Medical Inc.), Lightspeed QX/i clinical CT (GE Healthcare), and 3 Tesla SignaHDx MRI (GE Healthcare) were used to acquire 3D images of objects for true density. A 3D laser scanner (NextEngine, Inc) was used to scan the objects items for apparent density. Neural networks were used in conjunction with the data collected from laser scanner and using object composition and processing conditions to generate a black-box prediction scheme. The results of CT, MRI, and laser scanner showed great potential to estimate density in comparison to traditional techniques. Porosity was estimated from the CT and MRI scanned image data. Laser scanner was successful in acquiring 3D images and calculating apparent density. Neural networks provided reliable density prediction power and were comparable to the other empirical equations in terms of accuracy. The ability to predict object density based on composition and processing conditions is necessary to fill gaps in object density databases and account for new objects.

Also Light Detection and Ranging (more commonly called LIDAR) is a laser-based remote sensing technology can be used for similar purposes. It is widely used in the domain of geographical information system (GIS) for surveying and mapping natural resources and infrastructures.
[018] 2. Weight Algorithm
Weight algorithm is an in built algorithm which can learn from the large set of measurements been comparable to the other empirical equations in terms of accuracy. The ability to predict object density based on composition and processing conditions is necessary to fill gaps in object density databases and account for new objects. Two effective techniques that are used for object density computations are below:
• Neural network based learning algorithm
• Image processing
[019] The volume of object items can be measured in triplicate by the non-destructive, solid displacement method-
For Computed Tomography (CT);
MicroCT 40 (Scano Medical Inc.) and Lightspeed QX/i clinical CT (GE Healthcare) were used todetermine the porosity of the objects. The parameters of microCT were optimized for x-rays at 45 kVp and177µA intensity. Medium resolution and 35.6mm sample cell was selected for scanning.
For Magnetic Resonance Imaging (MRI);
A 3D fast spin echo proton density-weighted pulse sequence was used to acquire 0.5mm isotropicresolution images of objects using a 3 Tesla SignaHDx MRI (GE Healthcare). The MRI is equipped withproton spectroscopy for MRS and a real-time acquisition system for use with echo-planar fMRI.
For Laser Scanner;
A NextEngine 3D scanner (NextEngineInc, Santa Monica, CA) was used, and the 3D surface imageswere converted into solid volumes using SolidWorks 2007, (SolidWorksInc, Concord, MA). Thevolumes and densities estimated by scanning were compared using experimental measurements.
For Artificial Neural Network (ANN);
Objects were categorized into true, apparent, or bulk density. True density was predicted, whichserved as an initial step in identifying the correct density. For apparent density, information aboutprocessing conditions was considered in addition to the object's components. Once the apparent densityhas been resolved in this hierarchy system it then passes, if needed, to the bulk density.A simple model was generated using existing data in ObjectDatabase for apparent density predictions ofa variety of materials.
[020] FIG. 2 illustrates a flowchart of methodweight measurement using 3D co-ordinates.
[021] Referring to FIG. 3 that illustrates an approach for measuring weight of very large objects which are geographically located in inaccesible places, like Rio de Janeiro’s 38-meter-tall “Christ the Redeemer” is one of the most iconic statues in the world, but, up until now, the famous figure has yet to be fully captured as an accurate replica. Without the proper technology when the statue was constructed in the 1920’s and due its location atop Corcovado Mountain, 3D scanning of the Redeemer was previously not possible because it was very difficult to reach mountaintops, are now being overcome through the use of 3D scanning drones.
[022] To capture an accurate replica of the figure, the NEXT Lab at PUC University of Rio de Janeiro teamed up with 3D scanning firm Pix4D and drone manufacturer Aeryon to bring Christ the Redeemer to the digital world. One Aeryon drone, 19 ten-minute flights, and 2,090 individual images later and the team was able to create a 3D model of the statue on Corcovado Mountain made up of 2.5 million triangles and a 134.4 million point cloud points.

[023] Referring to FIG. 4 that illustrates weight measuring processes as entailed in this invention; comprising the aerial vehicle can carry e.g. a scanner, e.g. a line scanner, or can carry an alternative measuringsystem using image sequence for the purpose ofdetermining3Dcoordinatesof measurement objects. Using such a device a surface structure can be recorded point by point, i.e. at a defined resolution, with a scanning process proceeding line by line with a triangulation scanner, e.g. at between one and 50 points per millimeter, in particular also with one or more points repeated at time intervals. Furthermore, a 3Dsurface structure can be derived by detecting an at least partly coinciding objectsurface region from two different perspectives, in particular wherein additional patterns are projected on the partial region. For this purpose a measuringsystem can comprise e.g. a laser source, a camera and the large object which is to be measured for its volume.

[024] Referring to FIG. 5 that illustrates the system and method as entailed in this invention attempts to makes 3D co-ordinate scans of large objects for weight measurement purposes a lot easier - by using aerial vehicles or drones. Persons skilled in the art may be familiar with the easy-to-use Autodesk 123D Catch application. It uses photogrammetry to convert a series of 2D images into a 3D mesh suitable for modelling or 3D printing. It can even be installed on your mobile phonesor handheld computing devices for instant 3D scanning where ever you happen to be. However, with 123D Catch veterans it is often very difficult to capture large objects like buildings or landscapes because it is sometimes impossible or difficult to physically walk around the subject. Often there are obstructions preventing ground-based observers from capturing good images. Usage of unmanned programmable and computer controlled aerial vehicles or drones makes 3D co-ordinate mapping of such large objects very convenient. A commercially off-the-shelf (COTS) drone (For example Phantom 2 DJI drone)coupled with a camera and simply orbits the subject taking a series of high-res images. The images were uploaded to 123D Catch for cloud processing into a mesh.The results achieved so far from this invention are encouraging andis easily demonstrable by anyone owning a drone equipped with a decent camera. In fact, any large object can be captured in this way: a large ship or airplane would work just as well as a building.