A VIDEO CONFERENCE SYSTEM

Abstract

This invention relates to a video conferencing system (1) that extracts meeting notes and creates actions based on these meeting notes. The system (1) identifies the topic in internal meetings held via video conferencing, generates summary theoretical information on the topic in the background, creates a list of actions to be taken after the meeting based on the perspectives of the meeting participants on the topic, suggests who should take these actions, and assigns the actions to the relevant participants.

Description

1 TARIFF A VIDEO CONFERENCE SYSTEM Technical Area This invention extracts meeting notes and creates actions based on those meeting notes. It is related to the video conferencing system. 5 State of the Art Modern meeting applications allow for video recording and transcript generation. Features such as these are available. However, these applications are generally used for meetings. Topics are identified, and actions are formulated according to the meeting topics. Not shared. 10 Patent application number US10440325B1, which is included in the prior art. in the document, the topic discussed at the meeting was analyzed using NLP models. The text refers to a structure where the subject matter has been identified. The application in question... in the document, instead of a single topic, other topics discussed within that meeting Based on the headings and the meeting speeches, and according to the type of meeting, those 15 a document providing technical background information on the subject and developing action plans related to it. No structure is offered. In conclusion, solutions that address the needs described above are relevant to the subject. Due to its shortcomings, it has become necessary to make improvements in the relevant technical field. Brief Description of Discovery 20 The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve the problem. The purpose of this invention is to extract meeting notes and take action based on those meeting notes. It involves developing a video conferencing system. The system identifies the topic during internal meetings held via video conferencing, 25 In the background, a summary of the theoretical information related to this topic is being created, and the meeting participants are discussing the subject. Action lists to be taken after the meeting, according to the relevant perspectives. 2 isolating, suggesting who should take these actions, and implementing the actions. It assigns them to the relevant participants. The structural and characteristic features and all the advantages of the invention are given in the figure below. Thanks to the detailed explanation written with references to the diagram, it becomes clearer. This will be understood, and therefore the evaluation should also take this detailed explanation into account. 5 It needs to be done by taking precautions. A way to help understand the discovery. Figure 1 is a schematic representation of the system that is the subject of the invention. Explanation of Part References 1. System 10 2. Communication device 3. Conference application 4. Central database 5. Task tracking server 6. Personnel database 15 7. Central server A. Internet Detailed Description of Find In this detailed description, the preferred configurations of the system (1) that is the subject of the invention are: It is explained solely for the purpose of better understanding the subject. 20 This invention extracts meeting notes and creates actions based on those meeting notes. It is related to the video conferencing system (1). The system (1) is a platform with a large number of participants (2) through mutual communication. In meetings held via video conference (3), during the meeting By analyzing the audio and video data, the topics discussed at the meeting were determined. 3 determining, proportionally calculating the topics, and interacting with users. It enables sharing. The system that is the subject of the invention, the schematic representation of which is given in Figure 1 (1);  Communication devices used by meeting participants (2),  loaded onto communication devices (2) and included in the video conference of the participants 5 Conference applications that enable (3),  Recording and storing audio and video during the meeting central database providing (4),  Tracking tasks used within the company and assigned to participants task tracking server (5), 10  Participants' data (identity, management team, department they work in, voice data) personnel database (6) and  Receives meeting participants' information via the personnel database (6), communication video conferencing via the conference applications (3) on their (2) devices Internal meeting data collected using this method is retrieved from the central database. 15 (4) area, thanks to its artificial intelligence software, personnel database (6) and processing and analyzing the data it receives from the central database (4), this analysis As a result, they identified the topic discussed at the meeting, and there was someone in the background who was involved with this topic. The summary comprises theoretical knowledge and reflects the perspectives of the meeting participants on the topic. According to this, these 20 people compiled action lists that needed to be taken after the meeting. offering suggestions on who should take the actions and who has taken them. central task tracking server (5) assigns actions to relevant participants server (7) It includes. 25 Many participants had conference applications (3) installed on their communication devices (2). The video conference they participate in is recorded by the system (1). The recording includes both audio and video. It also includes image data. Video conference data located in the central database (4) is located on the central server (7) The field is analyzed by means of artificial intelligence algorithms. The central server (7) has done 30 In this analysis, it is the case that; 4  each using participant identity data obtained from the personnel database (6) Speaker identification is a process where the speaker recognizes the participant's voice and identifies their identity.  Participants' use of word groups and synonyms the process of converting spoken words into written form,  Identifying the main and subtopics in the discussions, the participant's company 5 If the job description within it contains a previously marked identity, then it has undertaken it. the process of identifying topics that are matched with tasks  From the conversations, it determined who should do what (actions / decisions). action definition process It is structured to accomplish this. 10 The central server (7) generates a summary of the meeting based on the results of the AI ​​analysis. This summary includes the main topics, subtopics, and speaking times for each topic. The central server (7) provides basic information on the topics discussed at the meeting on the internet (A). They find well-implemented scenarios at a high level, or simply summarize theoretical information in a few sentences. Search via the internet (A) and automatically add the results as separate 15 in the meeting notes. They compile them in a heading. The central server (7) summarizes which scenarios yielded good results. It presents it within. The central server (7) lists the actions determined by the AI. It automatically organizes this information. This list includes the person responsible for each action and The description of the action is included. The central server (7) sends the list of actions it created to the company 20 It integrates into the task tracking server (5) used within it. In this way, the action Each task on the list is automatically assigned to the relevant person. The central server (7) provides users with a user interface through which they can choose themselves They can access assigned tasks, track the status of their tasks, and view the history. It enables them to make updates. 25 The operations performed by the system (1) can be explained through an example scenario. For example A company's marketing department is holding a video conference for a new product launch. They should organize a meeting. The meeting should include the department manager, marketing specialists, and product experts. Manager and designers should attend. This meeting will be broadcast by system (1) both by voice and It is recorded as an image. 30 The meeting recording is analyzed using artificial intelligence algorithms. This analysis is done as follows: It is performed:  Speaker Identification: Each speaker's voice is analyzed to determine their identity. For example, the marketing manager's voice is recognizable and their speech includes "Employee Name" and The role is tagged with "Marketing Manager". 5  Speech-to-Text Conversion: All conversations are transcribed. For example, The marketing manager's statement, "The target audience for this product should be young people," is in the text. It is recorded as such.  Topic Selection: The main and subtopics of the conversation are determined. For example, Topics such as "Target Audience", "Product Features" and "Marketing Strategy" were identified. It is done.  General Knowledge Requirement: Existing knowledge in the literature regarding the main topic and subtopics. The basic principles are searched and summarized on the internet (A).  Action Definition: From the conversations, it is determined who should do what. For example, "The designer should create a logo design aimed at young people," etc. 15 Actions are detected. Afterwards, a summary of the meeting is created based on the results of the artificial intelligence analysis. The summary may include the main topics, subtopics, and speaking times for each topic. The sample summary is as follows:  Meeting Topic: New Product Launch 20  Participants: Marketing Manager, Marketing Specialist 1, Marketing Specialist 2, Product Manager, Designer  Main Topics: Target Audience (Speaking Duration: 10 minutes) Product Specifications (Speaking Time: 15 minutes) 25  Marketing Strategy (Speaking Time: 20 minutes)  Actions: The designer should create a logo design aimed at young people (Responsible: Designer) Marketing Specialist 1, social media campaign targeting young people 30 planned (Responsible: Marketing Specialist 1) 6 Following the summary, the actions determined by the artificial intelligence are presented in a list. The list is organized. For each action, the responsible person, action description, and end date are included. Information may be included. The action list is integrated into the company’s third-party task tracking server (5). It is done. 5 Thanks to the integration of the task tracking server (5), each task in the action list, It is automatically assigned to the relevant person. For example, the task "Designing a logo" is automatically assigned. It is assigned to the designer. Users can access the tasks assigned to them via the system (1), tasks They can track the status and make date updates. 10

Claims

7 REQUESTS 1. Communication devices used by meeting participants (2), communication installed on their devices (2) and allowing participants to join the video conference conference applications (3) that provide sound and image during the meeting to the central database (4) which ensures that records are kept and stored, company 5 a task used within and enabling tracking of tasks assigned to participants Having a follower server (5), it can extract meeting notes and these meeting notes It is a video conferencing system (1) that creates action according to its features;  Participants' data (identity, management team, department they work in, voice data) personnel database (6) and 10  Obtains the information of meeting participants through the personnel database (6), through conference applications (3) located on communication devices (2) data from internal meetings held via video conferencing. the area from the central database (4) has artificial intelligence software thanks to the personnel database (6) and the central database (4) 15 processing and analyzing the data received, and based on the results of this analysis, at the meeting Identifying the topic being discussed, and providing a summary of the relevant theoretical information in the background. formed according to the perspectives of the meeting participants on the subject. creating action lists to be taken after the meeting, offering suggestions on who should take action and the 20 actions it has taken assigning actions to relevant participants via task tracking server (5) central server (7) It includes.

2. The system mentioned in accordance with claim 1 is (1), and its feature is that it is in the central database (4) 25 made using artificial intelligence algorithms for the video conference data included. in the analysis,  each using participant identity data obtained from the personnel database (6) Speaker identification, which recognizes and identifies the participant's voice. the process,  Based on the use of word groups and synonyms, 30 participants a text converter that allows their conversations to be transcribed into writing. the process, 8  Identifying the main and subtopics in the discussions, the participant's company If the job description within it contains a previously marked identity, then it has undertaken it. the process of identifying topics that are matched with tasks  from the conversations, who should do what (actions) the action definition process it determined 5 It includes a central server (7) which is configured to perform this.

3. The system mentioned in accordance with claim 1 is (1), and its feature is artificial intelligence analysis. According to the results, the main topics, subtopics, and speaking times for each topic. (A) is a summary of the meeting, including the topics discussed at the meeting, and is available on the internet. those who find well-implemented scenarios at a basic level or just theoretical 10 Search the information in a few sentences via the internet (A) and automatically retrieve the results. Compiled under a separate heading within the meeting notes, which scenarios yield good results It includes a central server (7) which presents what they have given in summary.

4. The system mentioned in accordance with claim 1 is (1), and its feature is that it is controlled by artificial intelligence. the specified actions / actions, including the person responsible for each action and 15 automatically organizes the actions into a list containing their descriptions, the action list it created, to the task tracking server used within the company (5) integrating and thereby automatically assigning each task in the action list to the relevant person. It includes a central server (7) that enables its assignment.

5. The system mentioned in accordance with claim 1 is (1), and its feature is the user interface it offers. through this, users can access the tasks assigned to them, and manage their tasks that allows them to track the status and make date updates It includes a central server (7).

Images