Abstract: The present disclosure provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for 3D vision, and synthetic data generation of a retail product model. Further, the present disclosure aims at generating high-quality, photorealistic, large-scale domain-specific synthetic data. The system is equipped with synthetic simulation, digital twin creation, and synthetic data generation with automated annotations. Additionally, the system allows the training of artificial intelligence to reduce manual efforts and to facilitate the automation and personalization.

Abstract: Embodiments of the present disclosure relate to system and method for identifying at least one sensor on at least one user equipment [200] connected to a wireless network, comprising the a mobile management entity (MME) [101] transmitting an initial context setup request for at least one user equipment [200] to a network entity [300] of the wireless network. Next, the network entity [300] transmits a capability enquiry to the at least one user equipment [200] based on the initial context setup request received from the MME [101]. The network entity [300] receives a capability information from the at least one user equipment [200] in response to the capability enquiry, wherein the capability information comprises of sensor capability information of the at least one user equipment [200]. Thereafter, the network entity [300] transmits the capability information of the at least one user equipment [200] to the MME [101].

Abstract: Present disclosure relates to management of artificial intelligence systems by identifying root cause of reduced performance and/or failure in computing systems, and particularly relates to systems and methods for detecting a drift in supervised and unsupervised machine learning (ML) models. The system retrieves current dataset corresponding to output of supervised ML models and unsupervised ML models. Further, the system segregates the current dataset based on requirement of a drift detection model and applies a plurality of drift detection models to the segregated dataset to generate predictive results corresponding to the current dataset. Furthermore, the system determines errors in predictive results by comparing predictive results to reference values associated with current dataset. Additionally, the system detects the drift in supervised ML models and unsupervised ML models based on determined errors being above a threshold value.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for facilitating intruder detection that is highly accurate especially for enhancing critical security zones, the intruder detection system (IDS) can provide high true positives and extremely low false positives, the system may be developed using techniques from artificial intelligence and computer vision and is focused on highly optimized intruder detection with equal attention paid to both accuracy and speed, the area of use is highly diverse and can be used mainly for surveillance and security purposes, be it right from outdoor areas such as perimeter walls, campuses to indoor areas such as malls, factory floors, and the like.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for an efficient and adaptive disease prediction system as a part of an expert-based online AI symptom-checker. The system may diagnose a wide variety of diseases accurately in an under 3-minute chatbot based conversation. The system architecture comprises of state-based components namely dialogue, patient, utterance, disease and symptom state. The disease prediction module may use a complex knowledge graph coupled with the state information to predict disease scores, predict disease scores based on various factors such as symptom coverage, relative disease importance, diseases priors, risk factors, lab tests, body organs and body systems and further provide mechanisms to arrive at a convergence based on factors such as confidence scores, questions asked and the like.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling a plurality of set top boxes (STBs) to be used as seeders for peer to peer network distribution of data. The plurality of STBs may be used to utilize the Internet for downloading content of the network along with streaming of the content. After downloading the content by the STB by following a predefined set of instructions, the STB may provide the downloaded content to the network. After a predefined time, the STB would not be able to transfer data via internet because a sever coupled to the STB may automatically stop accepting incoming connections to download from other STBs associated with the network.

Abstract: A system and method for providing a custom response to a voice command of a specific user. The method encompasses receiving, at a transceiver unit [102] from a user device, a custom voice response preference setting associated with the specific user. The method thereafter leads to receiving, at the transceiver unit [102] from a first target device, a voice command of the specific user. The method thereafter encompasses generating, by a processing unit [104], a custom response to the voice command of the specific user based at least on the custom voice response preference setting. Further, the method encompasses identifying, by an identification unit [106], a second target device from one or more devices present in vicinity of the specific user. Thereafter, the method comprises providing, by the processing unit [104], the generated custom response to the voice command of the specific user via the second target device.

Abstract: The present invention provides an efficient and reliable systems and methods for facilitating standalone mode for an outdoor Small Cell (ODSC) for 5G. The system can be an all-in-one self-contained unit that houses an entire next generation Node B (gNB) functionality including but not limited to radio transceiver. an RF front end as well as antenna. The system may further include a network processor and an FPGA integrated on at least 18 but not limited to the like layers of an Integrated baseband and Transceiver board. The Integrated baseband and Transceiver board may further include a Clock synchronization architecture using system synchronizer IC and clock generators. The system can develop an LI layer and generate a bitstream in the FPGA while providing blind mating and a cable less design.

Abstract: Present disclosure generally relates to location tracking and communication systems. More particularly, the present disclosure relates to systems and methods for predicting user location from radio data of telecommunication network. The system may utilize Global Positioning System (GPS) data along with Radio Frequency (RF) data obtained from interactions between the first computing device and network elements such as cells. The RF data along with the GPS data may be used for learned distance prediction models in AI engine. When the first computing device may be latched to a cell, the system via the first computing device can observe one or more neighbour cells. To estimate location of the user, predicted distances from cells and grids that can be served from each of cells may be used by system to estimate location of the user. System may use predicted distance from different cells to estimate the location of the user.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for efficiently identifying from a medical domain a plurality of entities that may be designed and engineered for a diagnostic reasoning system or symptom checker. The identified plurality of entities forms nodes of a knowledge graph and may be interconnected to each other with edges representing finely curated weights. The curated weights may form a dynamic repository that can constantly evolves to best reflect the latest medical knowledge. Apart from diseases and symptoms, the system is also capable of extending and scaling to other dimensions of medical knowledge. The knowledge graph thus developed is fundamental to the entire diagnostic system and is used by various components of the diagnostic engine to power the AI-based reasoning.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for that provides a one-stop template-based system and method for optimization solutions in supply chain, distribution network, services, scheduling and delivery systems. The system enables business decision makers, planners and other non-technical users in designing their optimization use case, choosing the constraints, identifying the variables and methods, and executing the problem to obtain the solution. A user interface associated with the system can be deployed in the cloud. A user needs to choose a set of attributes such as pre-defined template, select the necessary constraints, choose the type of formulation and the tool and then upload the data in the predefined templates. Once uploaded, the user can submit the set of attributes to execute the system and obtain the results in a dashboard associated with the system.

Abstract: The present disclosure relates to a system and method for facilitating error-free communication of data by enabling transfer of data over audio signal in near-ultra sonic frequencies with specially designed audio emitted using a mixture of frequencies to achieve maximum stability. The method may include randomized emission of data bits over a plurality of frequency ranges to allow temporal and frequency voting. The audio signal transmitted may be received by pre-processing the received audio signal to remove unused frequency bands and unwanted audio artifacts introduced during transmission. The pre-processed audio signal may be further applied with a plurality of audio processing levels to denoise, smoothen the audio signal by going through noise subtraction using unique noise profiles and spectrally gate using curated thresholds. The audio signal may be then demodulated using a unique confidence score based on the power of all the frequencies emitted to find the data transmitted.

Abstract: A method and a system for providing one or more services to one or more user devices [202] in an IoT network in a scalable M2M (Machine to Machine) framework. The method comprises receiving a connection request from the one or more user devices [202] at a load balance of the IoT network, the connection request comprises at least a username comprising a cluster identifier. The load balancer [204] determines a cluster identifier based on the connection request and identifies at least one target cluster from the one or more clusters [206], said target cluster being associated with the identifier cluster identifier. The load balancer [204] routes the connection request to the at least one target cluster to provide the one or more services to the one or more user devices [202].

Abstract: Present disclosure generally relates to computer-assisted medical diagnosis systems, particularly, to system and method for generating adaptive medical queries to determine disease symptoms of a user. System receives inputs from user, in response to queries corresponding to symptoms of disease. Further, system extracts contextual attributes corresponding to medical context, from inputs and identifies batch-wise candidate attributes from extracted contextual attributes, and sorts batch-wise candidate attributes corresponding to each of symptoms. Furthermore, system maps symptoms in sorted batch-wise candidate attributes to disease, by searching medical knowledge database, and calculates disease-symptom weighted score. Additionally, system filters symptoms based on age and gender of user, and sorts symptoms based on calculated disease-symptom weighed score and inter-dependency on other attributes.

Abstract: The present disclosure relates to information retrieval in computing systems in general and in particular to retrieving articles from various publishers corresponding to the breaking news headline. The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for efficiently presenting a more accurate method of providing the relevant articles in a breaking news system to add value in terms of more user engagement and satisfaction. The system can use semantic models and multilingually trained sentence transformers to generate context-based recommendations for a breaking news headline. It is further refined by use of Knowledge Graphs (KG) and additional modes of information like images, videos present in the news article. These language agnostic signals along with the semantic understanding enables to generate succinct cross lingual recommendations.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for providing a fool proof biometric registration and/or verification system. The system and method enables registration by selecting a certain set of images of a user, extracting variations of feature vectors and storing the set of images to represent the user in the recognition system database. The system providing a fool-proof system to register personnel across different locations maintaining consistency and quality of data collected.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for efficiently providing personalized content recommendations across multiple domains containing distinct types of contents. The present invention provides numerous improvements over existing systems. The present invention is effective for organizations where business interests span multiple domains. Recommendations are not limited to a single domain. Rather, user events from different domains can be leveraged to make recommendations in any of these domains. For example. News Articles recommendations on Movies and vice-versa (but not limited to only Movies and News). More specifically, if a person is watching a movie, using this invention, we can provide personalized suggestions of news articles to read based on the current frame of movie and user's past behaviour.

Abstract: The present disclosure provides Edge solution that can introduce/incorporate certain intelligence at the Base Node or PGW/UPF to take decision by routing the requests originating from UE. Embodiments of the present disclosure relate to a method that includes parsing of Data-Packet from UE at Base Node or PGW/UPF; Storage of Configuration parameters at Base Node or PGW/UPF and Execution of Routing algorithm at Base Node or PGW/UPF. The disclosure further provides solution as architectures of Intelligent Routing Ability involving base-node or PGW, wherein the routing ability is achieved at Base Node or PGW/UPF with required configuration, routing decision etc., stored at Base Node or PGW/UPF itself and includes Parsing of data packets coming from user equipment (UE) to Base Node or PGW/UPF to find source and destination address or IP, Storage of possible alternate destination information for desired services/application/content in “local configuration file” at Base Node or PGW/UPF.

Abstract: The present invention provides an efficient and reliable systems and methods for facilitating FAIL SAFE possibilities in a Network by exploiting 3GPP defined Radio Resource Control (RRC) T310 (Radio-Link Failure Timer), N310 (Radio-Link Failure Counter), T311 (Radio Link Re-establishment Timer), N311 (Radio Link Re-establishment Counter) Timers and associated Counters to enable the L1 to recover within the combined duration of the sum of T310 and T311 timers, for example, typically, 100 msec following a L1 SW exception event.

Abstract: The present invention relates to a system and a method for providing 5G services to at least one user device [302]. The at least one user device transmits a first connection request to the gNodeB [304]. The gNodeB attaches a first protocol message to the first connection request received from the at least one user device and transmits the attached first connection request to an interworking unit [306]. The interworking unit generates a third request from the attached first connection request based on an application protocol and transmits the generated third request to an EPC [308]. The EPC establishes a connection with the at least one user device and 5G services to the at least one user device via the gNodeB [304].