This invention relates to image processing and data logging system.
Background of the Invention
A very common problem seen today in colleges and offices is the irregularity and improper dress up of the students or employees of the offices. Every day there has to be a check on this disciplinary subject and regulatory authorities have to manually check and curb the outlines. This intention/action of the authorities takes a lot of efforts to keep a check on the defaulters.
US11024043B1; Abraham OthmanEnis Aykut DengiIshan AgrawalJeff KershnerPeter MartinezPaul MillsAbhinav Yarlagadda; A visual tracking system for tracking and identifying persons within a monitored location, comprising a plurality of cameras and a visual processing unit, each camera produces a sequence of video frames depicting one or more of the persons, the visual processing unit is adapted to maintain a coherent track identity for each person across the plurality of cameras using a combination of motion data and visual featurization data, and further determine demographic data and sentiment data using the visual featurization data, the visual tracking system further having a recommendation module adapted to identify a customer need for each person using the sentiment data of the person in addition to context data, and generate an action recommendation for addressing the customer need, the visual tracking system is operably connected to a customer-oriented device configured to perform a customer-oriented action in accordance with the action recommendation.
US11176366B2; Mahesh SaptharishiDimitri A. Lisin; A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of detected objects, each of which has a signature representing features of the detected object. The match classifier matches object instances by analyzing data derived from the signatures. The match classifier determines whether the signatures match.
US20190147228A1; System and method for human emotion and identity detection; Disclosed is a distributed profile building system, gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also disclosed is a method for building user profiles using a distributed profile building system by gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles.
The design and construction of a combination of camera and sensor that will check the overall appearance of the person standing in front of them. It will analyze the person from top to bottom to search for a tie, ID card, shirt/coat logo and shoes on behalf of color. This data collected from the sensors will collectively be given to an AI engine to formulate the dynamic rules accordingly and perceive the ideality of discipline standards of the person.
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 construction of a combination of camera and sensor that will check the overall appearance of the person standing in front of them. It will analyze the person from top to bottom to search for a tie, ID card, shirt/coat logo and shoes on behalf of color.
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.
As demonstrated in the diagrams above we have segregated the system in two devices. The first one is vision device which has a common power supply for AI engine. The AI engine is referred to the computing device which takes input from Camera and Touch screen and sends some of the data to the cloud storage while processes major of the data on its end. The data stored on cloud is further used for logging the data and making disciplinary policies after visualizing it. That data will also be used to make KPIs. The AI engine generates an image from multiple input images, the quality of the generated image are in par with those created by professional graphics designers, and time consumed to generate is just few seconds.
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. Illustration of working process
Fig. 2. Shows the organization of vision device
Fig. 3. Organization of sensor device.
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 order to bring this invention in reality we need a camera (minimum 12 MP) to capture the image. The image captured will be given at the backend to our AI engine. The AI engine will be pre-feed with the datasets. The image captured will be matched with this dataset and the MC (Match Count) index will be calculated. (Fig. 1. Illustration of working process)
Picture processing is a technique for applying operations on an image in order to improve it or extract relevant information from it. It's a sort of signal processing in which the input is an image and the output is either that image or its characteristics/features. Image processing is one of the most quickly evolving technologies today. It is also a critical research field in engineering and computer science.
Image processing basically includes the following three steps:
• Importing the image via image acquisition tools;
• Analyzing and manipulating the image;
• Output in which result can be altered image or report that is based on image analysis.
(Fig. 2. Shows the organization of vision device)
Analogue and digital image processing are the two types of image processing methods employed. Analogue image processing can be utilized for the hard copies like prints and photographs. When employing these visual tools, image analysts employ a variety of interpretive fundamentals. Digital image processing techniques allow for computer-assisted alteration of digital images. Pre-processing, augmentation, and presentation, as well as information extraction, are the three general processes that all sorts of data must go through when employing digital technology.
We will work on a few basic technicalities in this patent, such as picture, digital image, and digital image processing. Different digital image sources will be fed as input, with examples for each source provided. This invention will cover the entire spectrum of image processing to computer vision. Finally, picture acquisition and several types of image sensors will be discussed.
This model uses the features of camera to behave as an input unit for the dress code. Also, the time at which data is taken as input will be considered to be checked for punctuality score.
As demonstrated in the diagrams above we have segregated the system in two devices. The first one is Vision Device which has a common power supply for AI engine. The AI engine is referred to the computing device which takes input from Camera and Touch screen and sends some of the data to the cloud storage while processes major of the data on its end. The data stored on cloud is further used for logging the data and making disciplinary policies after visualizing it. That data will also be used to make KPIs. The AI engine generates an image from multiple input images, the quality of the generated image are in par with those created by professional graphics designers, and time consumed to generate is just few seconds.
In the second system named Sensor devices we have a power supply to Black color detection sensor and ATmega 328. ATmega 328 sends data to the Computing device via Bluetooth for further processing as per the algorithm.
Machines can be taught to interpret images the same way our brains do and to analyze those images much more thoroughly than we can. Image processing with artificial intelligence can power face recognition and authentication functionality for ensuring security in public places, detecting and recognizing objects and patterns in images and videos, and so on.
In this work, we talk about digital image processing and the role of AI in it. We describe some AI-based image processing tools and techniques you may use for developing intelligent applications.
The input is taken in the first stage. Second stage is the processing of the data taken as input. The AI engine will already have pre-defined data set from which it is going to match the input. Images of Tie, ID card, Logo and trousers will be the pre-knowledge for the engine. The algorithm will make use of image sensing and image processing for defining the accurate output. Other than identifying the MC the punctuality score will also be a part of this work. The particular instance of time at which the input data is recorded will be the arrival time of employee which can also be considered as attendance mark and IN time of the employee.
Advantage of the invention:
• The system is going to check the irregularity in the discipline of punctuality and proper uniform. It also checks the defaulters on daily and weekly basis.
• The check will be made as a retroactive process and defaulters as well as higher authorities will get a notification on the activities and FC (Foul Count).
• The system can be used in other organizations for the checking of dress and punctuality of the employees. It can be used to check the count of the participants present in the meeting.
• In Hotel Industry the dress up for waiters, bartenders and managers is very important and that can be achieved by this patent work. Not only dress but it will also check the other things like time in time out and attendance of the employees/students etc.
• On events such as convocation, the count can be calculated for the attendees using this patent work.
Best method of working:
Analogue and digital image processing are the two types of image processing methods employed. Analogue image processing can be utilized for the hard copies like prints and photographs. When employing these visual tools, image analysts employ a variety of interpretive fundamentals. Digital image processing techniques allow for computer-assisted alteration of digital images. Pre-processing, augmentation, and presentation, as well as information extraction, are the three general processes that all sorts of data must go through when employing digital technology.
We will work on a few basic technicalities in this patent, such as picture, digital image, and digital image processing. Different digital image sources will be fed as input, with examples for each source provided. This invention will cover the entire spectrum of image processing to computer vision. Finally, picture acquisition and several types of image sensors will be discussed.

We Claim:

1. An Intelligent image processing dress up checker & data logging system is comprising, Power supply (1), I/O camera (2), Touchscreen device (3), Computing unit (4), Cloud storage (5), Power supply-sensor device (6), Black color sensor (7), ATmega 328 (8), Bluetooth (9).
2. The system as claimed in claim 1, wherein which is consists I/O camera (2) image captured will be given at the backend to our AI engine; AI engine will be pre-feed with the dataset; and image captured will be matched with this dataset and the MC (Match Count) index will be calculated.
3. The system as claimed in claim 1, wherein which is consists computing unit (4) importing the image via image acquisition tools; analysing, manipulating the image; output in which result can be altered image or report that is based on image analysis.
4. The system as claimed in claim 1, wherein which is consists, black color sensor (7), ATmega 328 (8), Bluetooth (9), black color detection sensor and ATmega 328 ; sends data to the computing device via bluetooth for further processing as per the algorithm.
5. The system as claimed in claim 1, wherein algorithm will make use of image sensing and image processing for defining the accurate output; other than identifying the MC the punctuality score will also be a part of this invention.