Abstract: ABSTRACT VISION BASED SYSTEM FOR SCHOOLS TO TEACH PRACTICAL SUBJECTS The system will watch, enhance and update itself our activity as per demand. It will collect information and properly guide the user according to the task and laboratory work. N this invention we have proposed a system provides the facility for students and teachers as the adoption of online education has grown in india., reaching millions of high school and college students yearly, educators and textbook manufacturers have sought ways to move labs to the online environment. As a group of experienced lab instructors with expertise in various disciplines (astronomy, biology, chemistry, earth sciences, and physics), we sought to review digital labs and/or simulations to determine the best use of these tools in our teaching as well as to determine the characteristics that made a digital lab a useful teaching tool. Devising a way to impart knowledge in children about practical subjects like chemistry, physics, and biology. This project aims to create a platform using various technologies like ar/vr, deep learning in order to give cheap and efficient solutions to schools to teach practical subjects.
Description:Title of The Invention
Vision Based System for Schools to Teach Practical Subjects.
Field of the Invention
This invention relates to vision based system for schools to teach practical subjects.
Background of the Invention
US10878711B2: The systems, methods and associated devices electronically collect, report and generate normalized educational outcome summaries of multiple different educational inputs, including didactic, experiential and problem-solving events and/or assessments.
US11468788B2: An educational game (and learning management system and methods pertaining to the same) can be configured for the effective teaching of advanced educational curriculum, such as STEM subjects for high school and above. The educational game is configured to integrate social context, real scientific principles and strategic tradeoffs within game mechanisms. This covert teaching and testing environment promotes exploration, individualized discovery, repeat engagement, and systems thinking and planning skills. The educational game can be dynamically and procedurally generated.
US11509817B2: A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser/owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and/or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and/or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.
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 system that will watch, enhance and update itself our activity as per demand. It will collect information and properly guide the user according to the task and laboratory work.
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.
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 system will watch, enhance and update itself our activity as per demand. It will collect information and properly guide the user according to the task and laboratory work.
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:
Figure 1: Proposed architecture will firstly preprocess our activities for that we are using (11) Raspberry pi to collect the information and the (12) Intel Movidius, vision processing unit (VPUs) enable demanding computer vision and AI workloads with efficiency. The intel movidius is having a machine learning model which is basically an activity determination model and will train itself automatically All these information will be captured by (10) camera. Then the system done the classification of the information it has collected. All the information it has collected will show on the (13) TFT screen. And (16) keyboard and (17) mouse is used to perform task on the system. (14) Battery management unit is used to pass the energy to the preprocessor and (15) battery is used to maintain a balance supply and demand within the power system. The system will preprocess, classification, detection and prediction for our performance.
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.
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.
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 we have proposed a system provides the facility for students and teachers as the adoption of online education has grown in India., reaching millions of high school and college students yearly, educators and textbook manufacturers have sought ways to move labs to the online environment. As a group of experienced lab instructors with expertise in various disciplines (astronomy, biology, chemistry, earth sciences, and physics), we sought to review digital labs and/or simulations to determine the best use of these tools in our teaching as well as to determine the characteristics that made a digital lab a useful teaching tool. Devising a way to impart knowledge in children about practical subjects like Chemistry, Physics, and Biology. This project aims to create a platform using various technologies like AR/VR, Deep learning in order to give cheap and efficient solutions to schools to teach practical subjects.
ADVANTAGES OF THE INVENTION:
• AR/VR technology is used for efficient work of the device.
• Deep learning in order to give efficient solutions to schools to teach practical subjects.
• Reduce human efforts and provide proper guidance.
, Claims:We Claim:
1. Vision based system for schools to teach practical subjects system is comprises with Raspberry pi, Intel movidius, machine learning model
2. The system is claimed in claim 1, wherein which is consist of Deep learning module and cloud computing assisted architecture for smart learning.
3. The system is claimed in claim 1, wherein which is consist of Intel Movidius enable demanding computer vision and AI workloads with efficiency.
| # | Name | Date |
|---|---|---|
| 1 | 202311026065-STATEMENT OF UNDERTAKING (FORM 3) [06-04-2023(online)].pdf | 2023-04-06 |
| 2 | 202311026065-REQUEST FOR EARLY PUBLICATION(FORM-9) [06-04-2023(online)].pdf | 2023-04-06 |
| 3 | 202311026065-POWER OF AUTHORITY [06-04-2023(online)].pdf | 2023-04-06 |
| 4 | 202311026065-OTHERS [06-04-2023(online)].pdf | 2023-04-06 |
| 5 | 202311026065-FORM-9 [06-04-2023(online)].pdf | 2023-04-06 |
| 6 | 202311026065-FORM FOR SMALL ENTITY(FORM-28) [06-04-2023(online)].pdf | 2023-04-06 |
| 7 | 202311026065-FORM 1 [06-04-2023(online)].pdf | 2023-04-06 |
| 8 | 202311026065-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [06-04-2023(online)].pdf | 2023-04-06 |
| 9 | 202311026065-EDUCATIONAL INSTITUTION(S) [06-04-2023(online)].pdf | 2023-04-06 |
| 10 | 202311026065-DECLARATION OF INVENTORSHIP (FORM 5) [06-04-2023(online)].pdf | 2023-04-06 |
| 11 | 202311026065-COMPLETE SPECIFICATION [06-04-2023(online)].pdf | 2023-04-06 |
| 12 | 202311026065-FORM 18 [13-06-2025(online)].pdf | 2025-06-13 |