*Title: AI-Powered Infant Presence Detection System for Hybrid Work Rooms with
Real-Time Cry Filtering and Task Focus Prediction
*Field of Invention: Artificial Intelligence (AI) for Home and Work
Automation.
*Background Art including citations of prior art: There are no inventions
existing similar to the digital displays which varies with respect to the people
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. *Objective of invention (the invention's objectives and a�dvantages,
or alternative embodiment's of the invention): The overall goal is to
have empowered hybrid workers via smart incorporation of infant care into the
working process. With the real-time detection of infant cry and context-aware task
prioritization, it is the goal of the given invention to ensure decreasing parental
stress level and increasing their productivity. Among the benefits are automatic
recognition of system settings (e.g. the microphone mute), custom alerts, and�
shifting work priorities, running things- much smoother and allowing parents to
have an easier work life balance.
*Summary of Invention:
The AI-Powered Infant Presence Detection System will be a newborn solution of
the hybrid workforce, as it will be able to unite infant care and professional
activities perfectly. The system works when the sound sensor is used to sensitize
the sounds coming out of an infant and they are relayed through internet to an AI
processing unit on clouds. In this case, the high-level algorithms are used to do
real-time cry filtering that can effectively separate original sounds of the infant
vocals among others. Such an important sifting helps to pick up exactly when an
infant is present and what kind of need they encounter.
In addition to detection, the invention can accomplish greatly in its context-aware
task prioritization. The AI examines the identified infant behavior alongside with
the current working situation of the user, their schedule, the apps they have opened,
their communication status. Such smart analysis can enable the system to determine
and change the priorities of the tasks, make individual recommendations, or launch
automatic system recommendations. These adaptations may comprise muting
microphones during the calls, presenting visual signs of emergency, or
recommending convenient intervals to take a break. Finally, it would reduce
parental stress and increase the level of work concentration and constitute a wellbalanced
and productive hybrid workplace, a far leap forward in the field of Aldriven
automation at home or on the job ..
*Detailed description of the invention:
The patent the attempts of the so-called AI-Powered Infant Presence Detection
System for Hybrid Work Rooms with Real-Time Cry Filtering and Task Focus
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Prediction starts with checking infant sounds (I) using a special sound sensor (2)
installed in a proper place in a hybrid workroom. This audio data is available to be
wirelessly loaded to the cloud (3) through the internet (4). After being uploaded to
the cloud, AI smart algorithms filtering of cry in real-time is carried out to precisely
determine real infant cries with a ground-breaking AI accuracy of properly isolating
them among other background sounds, This filtered information, as well as
contextual information regarding the current work of the user (e.g., active
applications, calendar, communication channels), is supplied to the module of
context-aware prioritizing of tasks with AI (5). In this case, the AI will performing
live analysis of the current load of the user and the level of activity of the child, to
understand the possibility of interruptions and provide recommendations on the
adjustment of the priorities of the tasks. At last, it is on the basis of such analysis
where the automation of system corrections (6) will be initiated by the system, such
actions may involve muting the microphone on the user when they are engaged in
online communication, display visual indicators or even give a suggestion of taking
a minor break, thus, optimizing the working environment by ensuring the
productivity of the team member despite the presence of the infant.
1. Infant Sounds: These are audio indicators that in most cases are
cries or other sounds produced by the baby to initiate the detection
procedure on the system so that their existence and needs are
noticed.
2: Sound Sensor: This is a physical component, which, in most cases,
is a microphone that filters the sounds of the infant in real-time form
along with transmitting them into digital form of audio data to be
interpreted further by the system.
3. Cloud: This is the remote servers and infrastructure upon which the
audio data, captured, is transmitted to be stored and more
importantly, the processing of the sounds through intensive AIbased
procedures takes place.
4. Internet: This will be the communication network that will enable
it to secure and promptly transmit the audio data of the local sound
sensor to the far cloud servers to be processed and back to the local
cloud server to make adjustments to the system.
5. Context-Aware Task Prioritization using AI: This is where the
brain happens the AI algorithms examine the sounds of the infant
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and the current work activity of the user re-prioritizing the workflow - .
responsibilities as well as suggesting the ideal guidance to a user.
6. Automated System Response: This refers to the number of
practical responses that are automated by the system e.g. muting
microphones or showing an alert.thatis intended to ensure minimal
disturbance . and maximize the working conditions as per the
recommendation of the AI.
*Drawings
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*Claims:
I. An infant presence notification and work environment adjusting system,
�Comprising: a sound sensor such that an audio waveform sensed within a
specified area; a data transmission module such that an audio data waveform �
identified by the sensory device is transmitted to a computing system that is
part of an artificially intelligent processing system which is a cloud-based
system architecture; an artificial. intelligence (AI) module, such that the
received audio data waveform captured by the sensor is filtered in order to
identify instances of infant cry; and an automated adjustment module such
that application of the artificial intelligence (AI) module attempts to adjust the
computing environment
2. The system of claim I, whereby the AI module is additionally adapted to
discern the existence of an infant in the pre-determined area on the basis of
the detected infant vocalizations.
3. The system of claim I, further having a context-aware task pnontlzation
module that is programmed to consider arid analyze the task that one is doing
and the context in which this is being done so as to improve the intended task
by looking at the content of the infant generating the vocalization.
4. In the system of claim 3, where the current working and context of the user
�� include at least one of: calendar events, open applications, communication
status or learnt productivity patterns are considered.
5. The system of claim I in which the automated adjustment module is set to do
at least one of: muting a microphone of a user in the middle of a
communication session, a visual warning to the user or a suggestion of a
break.
6. The system of claim I, in which the real-time cry tiltering is used to
differentiate the infant vocalizations against the ambient noise and other
human speeches.
7. Technique of managing a hybrid work setting where a baby is present, having
features of: acquiring audio information via one or more sound sensors within
one or more workspaces, where stored audio information is transmitted to a
cloud-based A.!. module, and information processed within an AI module in
real time through cry filtering and detection of infant vocalization, and a
modification of at least one computing environment component via the
detection of infant vocalization and a change in one or more of the computing
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environment components automatically made based on the detection.
8. The process of claim 7, further including dynamically prioritizing the work
tasks of the user, according to the detected infant vocalizations and the
situation of the user, in the work context.
9. The technique of claim 7 in which automatically adjusting includes silencing
a microphone to avoid transmitting infant sounds in the course of a virtual
assembly.
I O.The process of claim 7, in which the real-time cry filtering is performed based
on machine learning models educated on various dataset of infant
vocalizations.