Abstract: In the Iris based biometric recognition systems, iris needs to be segmented before comparison and hence iris segmentation is a crucial process in iris based biometric recognition systems. Existing techniques are unable to segment iris due to occlusions and require complex and time consuming algorithms to remove these occlusions. Other deep learning based solutions require precise annotations of the iris regions along with eyelids and eyelashes. The present disclosure initially generates polygons on the iris and pupil area using a pre-trained detection model. Internally covered vertices and externally exposed vertices of the generated polygons are computed to construct curvature of the iris region. A pupil region is generated by filtering the plurality of vertices lying inside pupil circle region from the plurality of externally exposed vertices. Further, a segmented iris image is generated by removing the pupil region from the input image based on the curvature of the iris region.

Abstract: This invention relates to a food assessment device. The food assessment device includes a turntable plate for accommodating a food item. The food assessment device further includes a lid enclosing the turntable plate. Further, surface of the lid includes at least one Artificial Intelligence (AI) enabled camera to capture one of video data, or image data of the food item for identifying the food item, a set of Near Infrared (NIRED) sensors for determining chemical composition of the food item, at least one Light Detecting and Ranging (LIDAR) sensor for determining volume of the food item. It should be noted that each of the at least one AI enabled camera, the set of NIRED sensors, and the at least one LIDAR sensor faces towards the food item and scans the food item until the turntable plate completes a rotation.

Abstract: Described is a method and system for radio frequency (RF) signature generation and position estimation using the RD signature. A method includes receiving, by a server, a RF signature associated with a user device present in a connected environment, updating, by the server, stored RF signatures based on RF signatures received from the user device, monitoring stations, and active radio emitting devices in the connected environment when a defined threshold for one or more stored RF signatures is exceeded, where each stored RF signature corresponds to a subdivision in the connected environment, and estimating, by the server, a location of the user device in the connected environment by comparing the RF signature of the user device with the stored RF signatures or updated stored RF signatures.

Abstract: This disclosure relates generally to method and system for secure IoT device onboarding using a blockchain network. Internet of Things (IoT) device onboarding is a challenging problem as it needs to be securely connected to its actual final owner, with minimal manual intervention. Onboarding provides provisioning the IoT devices with credentials for accessing a network resource and assigning appropriate permissions. The present disclosure establishes a mutual authentication between at least one IoT device from the one or more IoT devices and a TIMS. Further, based on the verified authentication the TIMS enables the device to identify its current owner using a blockchain network. Further, the IoT device authenticating parameter is computed for authentication of the TIMS with at least one IoT device from the one or more IoT devices.

Abstract: Described is a method and system for radio frequency (RF) signature generation and position estimation using the RD signature. A method includes receiving, by a server, a RF signature associated with a user device present in a connected environment, updating, by the server, stored RF signatures based on RF signatures received from the user device, monitoring stations, and active radio emitting devices in the connected environment when a defined threshold for one or more stored RF signatures is exceeded, where each stored RF signature corresponds to a subdivision in the connected environment, and estimating, by the server, a location of the user device in the connected environment by comparing the RF signature of the user device with the stored RF signatures or updated stored RF signatures.

Abstract: This disclosure relates generally to method and system for secure IoT device onboarding using a blockchain network. Internet of Things (IoT) device onboarding is a challenging problem as it needs to be securely connected to its actual final owner, with minimal manual intervention. Onboarding provides provisioning the IoT devices with credentials for accessing a network resource and assigning appropriate permissions. The present disclosure establishes a mutual authentication between at least one IoT device from the one or more IoT devices and a TIMS. Further, based on the verified authentication the TIMS enables the device to identify its current owner using a blockchain network. Further, the IoT device authenticating parameter is computed for authentication of the TIMS with at least one IoT device from the one or more IoT devices.

Abstract: The present disclosure describes a network appliance and associated access policy protocol (APP) that communicates and obeys access policies within a network. The network appliance (APP node) propagates access policies to other APP nodes that can utilize the policies most effectively. When an access policy reaches the network boundary, intra network bandwidth is optimized. The access policies may be distributed and executed in the cloud—e.g. proxy firewall, proxy policy execution.

Abstract: The present disclosure describes a network appliance and associated access policy protocol (APP) that communicates and obeys access policies within a network. The network appliance (APP node) propagates access policies to other APP nodes that can utilize the policies most effectively. When an access policy reaches the network boundary, intra network bandwidth is optimized. The access policies may be distributed and executed in the cloud—e.g. proxy firewall, proxy policy execution.