Abstract:
Radar based HR and BR measurements by simultaneous decoding is a technical problem due to presence of intermodulation of BR and HR harmonics, which degrades simultaneous decoding. Embodiments herein provide a method and system for unobtrusive liveliness detection and monitoring of a subject using a Dual Frequency Radar (DFR) in an IOT network. The system has the capability to completely process the captured raw signals onboard to by applying required signal conditioning and extraction of relevant information using unique signal processing techniques for determining the HR and the BR of the subject accurately. The intermodulation of BR and HR harmonics is eliminated by the system by performing frequency spectrum averaging of both radars signals, which improves the accuracy. Further, the system is configured with a light MQTT protocol and encoding modules for any data to be shared for off board processing, ensuring data security and privacy compliance.
Abstract:
Fluids are normally transported from one place to another through pipelines. It is essential to monitor the pipeline to avoid leakage or theft. It is expensive and not feasible to install cameras and sensors along the whole length of the pipeline. A system and method for inspecting and detecting fluid leakage in a pipeline has been provided. The system is using vibration sensors along with pressure sensors to detect the leakage or theft along with the exact location of the leakage or theft. The pressure sensors are mounted on the pipeline so that the fluid touches the diaphragm of the pressure sensors to sense the wave generated due to leakage. The vibration sensors are mounted on top of the pipeline surface and on the nearby ground to eliminate general noise conditions. Moreover, two pressure sensors are also installed at opposite sides to pinpoint the leakage location.
Abstract:
This disclosure relates generally to field agnostic source localization. Conventional state-of-the-art methods perform source localization for near-field scenario by estimating carrier frequency and direction of arrival (DOA) at or above Nyquist sampling rate. Embodiments of the present disclosure provide a method for source localization at sub Nyquist sampling rate. The method estimates parameters such as range, carrier frequency and DOA of source signals from data sources in a mixed field scenario. i.e., the data sources may reside in far-field as well as near-field. The method considers a delay channel to a sensor receiver architecture for estimating the parameters. The disclosed method can be used in applications like cognitive radio to determine the carrier frequency, DOA and range of various source signals from data sources in mixed field.
Abstract:
Method(s) and System(s) for determining location of a user device within a premise are described. The method includes identifying multiple zones with physical boundaries within the premise based on parameters associated with geometry of the premise. The premise includes multiple access points distributed across the multiple zones. Thereafter, the method includes collecting a first set of Received Signal Strength Indicator (RSSI) Data that is representative of strength of signals received from each accessible access point, at different locations within the premise. After collecting the first set, the method includes computing a Variable Path Loss Exponent (VPLE) within each zone for each accessible access point for determining location of the user device based on at least one of the first set of RSSI data, a line of sight condition, a non-line of sight condition and distance between each accessible access point from each location.
Abstract:
The present disclosure envisages a computer implemented system and method for Wi-Fi based indoor localization. The system includes a repository for storing attributes of the floor plan of an indoor area with respect to the zones on the floor plan. A communicating module receives a threshold number of data points from user devices located in the area. These data points include a plurality of Received Signal Strength Indicators (RSSI) captured from the access points positioned in the area. A k-means clustering is then performed on the data points for grouping the data points into ‘k’ number of clusters and a decision tree is built by following a condition based approach. Distance values are then calculated pertaining to the RSSIs stored at the decision tree, and zone circles are plotted. Zone of user presence is then determined by correlating the plotted zone circles upon the floor plan using maximum overlap property.
Abstract:
Ultra Wide Band (UWB) based Real Time Location Systems (RTLS) that are being used for location tracking suffer from environment specific errors that are introduced due to factors such as difference in reflection and propagation. In order to address this challenge, present invention discloses performing error modelling for object localization using Ultra Wide Band (UWB) sensors. The error modelling allows to correct a determined location of an object being tracked, to determine a corrected location. Based on an obtained distance value of a tag node with reference to position of a plurality of anchor nodes, location of an object in a 2-Dimensional space is determined. The determined location is corrected to obtain the corrected location, and in this process the error modelling and related error correction is done.
Abstract:
The disclosure herein generally relates to image processing, and, more particularly, to a method and system for impurity detection using multi-modal image processing. This system uses a combination of polarization data, and at least one of a depth data and an RGB image data to perform the impurity material detection. The system uses a graph fusion based approach while processing the captured images to detect presence of the impurity material, and accordingly alert the user.
Abstract:
The present disclosure provides means for detecting and tracking a moving object using RADAR and ultrasonic sensors. A stationary RADAR detects the moving object and estimates speed and two rotating ultrasonic sensors determine distance of the detected object. An incrementally changing orientation of the ultrasound sensors is associated with an angular speed of rotation based on a last logged distance of the moving object from the ultrasound sensors. Once the moving object is detected, based on an adaptively changing sampling frequency, the moving object is continuously tracked in real time. Conventionally, multiple RADARs are needed for location estimation and motion tracking. Also, merely using a RADAR in combination with an ultrasound sensor also does not serve the purpose since both sensors are static. The present disclosure provides a simple cost effective alternative that can find application in say tracking of an elderly person living alone in an unobtrusive manner.
Abstract:
This disclosure relates generally to driver profiling, and more particularly to system and method for driver profiling corresponding to automobile trip. In one embodiment, the method includes selectively computing, based on GPS data captured during a trip, features such that a first set of features are computed at a computation device and a second set of features are computed at a cloud server. The first and second set of features differs in computational complexity level. Said features include statistical data for attributes computed from the GPS data. The features corresponding to the trip are stored at repository associated with the cloud server. The repository includes previously precomputed features data associated with a set of driver profiles for previously completed trips. A driver profile corresponding to the trip is identified from amongst the set of driver profiles based on comparison of the plurality of features and the previously computed features data.
Abstract:
A pulmonary health monitoring system aims at assessing pulmonary health of subjects. Conventional techniques used for pulmonary health monitoring are not convenient to the subjects and needs considerable cooperation from the subjects. But, there is a challenge in utilizing the conventional devices to the subjects not capable of providing considerable cooperation. The present disclosure includes a blow device applicable to all kind of subjects and doesn't need cooperation from the subjects. Further, in the present disclosure, the blow device generates a phase shifted signal corresponding to a breathe signal and the phase shifted signal is further processed to extract a set of physiological features. Further, pulmonary health of a subject is analyzed by processing the set of physiological features based on a ridge regression based machine learning technique.