This invention relates to Vision enabled Edge device to Monitor food feed of the cattle's by estimating its weight. Background of the Invention
Individual dairy cow feed consumption is a critical variable that is currently unavailable in commercial dairies. In an open cowshed, camera was placed above the feeding area. Monitoring of feed for cattle's is an important aspect in the milk dairies.
Prior Arts
WO2020113187A1 MOTION AND OBJECT PREDICTABILITY SYSTEM FOR AUTONOMOUS VEHICLES
An artificial intelligence system is enabled for an autonomous vehicle to calculate a plurality of trajectory paths. The system is enabled to identify and recognize objects. The autonomous vehicle is enabled using a convolutional neural network to determine various paths associated with the autonomous vehicle and also of other moveable objects in the environment. The autonomous vehicle is further enabled to use a cloud based server or edge computing device to pre calculate environments including predictions of

environments. Upon a threshold of paths available an aggressive driving move may be authorized to proceed by the autonomous vehicle. The system is enabled to identify and recognize objects using a plurality of sensors including vision-based sensors, image sensors, video sensors, camera sensors, LIDAR, and sensor fusion. Data from various sensors may be combined and fused together to provide enhanced input to the autonomous vehicle. WO2016120634A2 COMPUTER VISION SYSTEMS
The field of the invention relates to computer vision systems and methods providing real time data analytics on detected people or objects in the home environment or other environments. It is based on an embedded engine that analyses an image from a raw sensor and virtualised the image into a digital representation enabling a digital understanding of the environment while guarantying privacy. It comprises multiple image processing blocks and embedded firmware.
US 10993417B2 Detection and management of disease outbreaks in livestock using health graph networks
Sensor data captured over time and associated with a plurality of livestock animals can be analyzed to determine health conditions associated with a plurality of livestock animals and to determine interactions of the livestock animals. The interactions specify at least distances between the livestock animals, duration of the distances, and frequency of the interactions. A health graph network is constructed, which includes nodes and edges, a node in the

nodes representing a livestock animal and specifying at least a health condition of the represented livestock animal, an edge connecting at least two of the nodes and representing an interaction between at least two animals represented by said at least two of the nodes. Based on the health graph network, a potential outbreak among a subgroup of the livestock animals can be predicted.
US10095942B2 Vision based real-time object tracking system for robotic gimbal control
Using various embodiments, methods, systems, and apparatuses for controlling a camera pivoting device (e.g., mechanical gimbal) are described. In one embodiment, the system comprises a main computing device, a gimbal stabilizer controller, and a computer vision camera, and/or a user camera. The system is able to track a target object using the computer vision camera even while the target object is moving, the base of the pivoting device is moving (e.g., when a user controlling the camera moves), or a combination of thereof. The camera pivoting device of the embodiments disclosed herein can be mounted on to any number of devices/objects that can provide mobility and/or transportation.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Vision enabled Edge device to Monitor food feed of the cattle's by estimating its weight.

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. Discloses herein a device of vision-based food feed monitoring for cattle comprises multiples camera (51) are installed in the dairy farm for capturing the images of the of the consumption of intake assessment; Wherein the amount of food eaten by the cows are estimated from the images; and by using RGB images the cow be easily recognized; Characterized in that the captured images are transferred to the CNN model where the identification and feed estimation is calculated.
The CNN (56) model is deployed in the Co-processor (55) for training the model; and the co-processor (55) is integrated with the computing unit (52).
The calculated information further transferred to the cloud server (101) for graphical display (65) using web application.
There are two different communication protocols are used to transmission purpose i.e. WiFi modem (63) for short range and the LoRa modem (62) for long range; and all these components with the super supply using batter (64).

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. BRIEFF 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:
Figure 1. The overall architecture for estimating the food eaten by the cow in a dairy.
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.
In this invention, a vision-based food feed monitoring for cattle according to their weight is proposed.
The complete process of the proposed architecture is illustrated in Figure 1 in which multiples camera (51) are installed in the dairy farm for capturing the images of the of the consumption of intake assessment.
The amount of food eaten by the cows are estimated from the images. By using RGB images the cow can be easily recognized.
Furthermore, the captured images are transferred to the CNN model where the identification and feed estimation can be calculated.
The purposed of applying deep learning to overcome the manual procedure of estimating the quantity of the food eaten by the cow.
The Deep learning algorithm can automatically estimate the feed intake by individual cow and measure the weight of the cow by the depth of the images.

The CNN (56) model is deployed in the Co-processor (55) for training the model. This co-processor (55) is integrated with the computing unit (52).
The calculated information further transferred to the cloud server (101) for graphical display (65) using web application.
There are two different communication protocols are used to transmission purpose i.e. WiFi modem (63) for short range and the LoRa modem (62) for long range. All these components with the super supply using batter (64).
ADVANTAGES OF THE INVENTION:
a. The proposed architecture will help to monitor the food used the diary.
b. With this architecture, cow can be automatically recognized and weight
can be measured.
c. Food for the cattle's can be monitored and calculation of taken food can
be analyzed by using this architecture.

We Claim:
1. A device of vision-based food feed monitoring for cattle
comprises multiples camera (51) are installed in the dairy farm for
capturing the images of the of the consumption of intake
assessment;
Wherein the amount of food eaten by the cows are estimated from the images; and by using RGB images the cow be easily recognized;
Characterized in that the captured images are transferred to the CNN model where the identification and feed estimation is calculated.
2. The device as claimed in claim 1, wherein the CNN (56) model is
deployed in the Co-processor (55) for training the model; and the
co-processor (55) is integrated with the computing unit (52).
3. The device as claimed in claim 1, wherein the calculated
information further transferred to the cloud server (101) for graphical
display (65) using web application.

4. The device as claimed in claim 1, wherein there are two different communication protocols are used to transmission purpose i.e. WiFi modem (63) for short range and the LoRa modem (62) for long range.
5. The device as claimed in claim 1, wherein all these components with the super supply using batter (64).