Abstract: A multiple proximity sensors based electronic device is disclosed. The electronic device includes a plurality of proximity sensors, which are configured to iteratively capture at least one proximity parameter at predefined time intervals. A processor within the electronic device determines a value of the at least one proximity parameter and compares the value with a predefined threshold value. The processor then identifies at least one proximity sensor from the plurality of proximity sensors based on the comparing and determines relative coordinates of each of the at least one proximity sensor with respect to the display. The processor then performs a predefined action within the electronic device based on the relative coordinates determined for each of the at least one proximity sensor.

Abstract: Method and system for correlating multiple device entries within a domain is disclosed. The method may include receiving a first correlation key comprising a set of device properties associated with a first device from a first plugin. The method may further include comparing the first correlation key with each of a plurality of second correlation keys stored in a device database. The method may further include determining whether a second correlation key from the plurality of second correlation keys in the device database corresponds to the first device, based on the comparing. The method may further include selectively correlating the first device with a second device from the plurality of second devices mapped to the second correlation key in the device database, based on the determining.

Abstract: A method and system for automatically coupling Bluetooth devices is disclosed. In some embodiments, the method includes identifying a plurality of Bluetooth devices within a predefined discoverable range of a computing device; identifying one or more current applications running on the computing device; determining a plurality of connection parameters associated with the computing device; assigning a confidence score to each of the plurality of Bluetooth devices based on a rule engine; iteratively generating a priority list by arranging the plurality of Bluetooth devices in an order of connection preference based on assigned confidence scores; coupling at least one Bluetooth device from the plurality of Bluetooth devices with the computing device based on the priority list generated iteratively.

Abstract: This disclosure relates to method and system for encrypting and decrypting a facial segment in an image with a unique server key. The method includes receiving an image from one of a plurality of users. The image includes a plurality of facial segments. The method further includes, for each facial segment from the plurality of facial segments, identifying a unique user associated with the facial segment using a facial recognition algorithm, encrypting the facial segment with a unique server key, generating a protection frame, unlockable with the unique server key, to cover the facial segment, and decrypting the facial segment while rendering the image for at least one of the plurality of users upon receiving the unique server key from the at least one of the plurality of users.

Abstract: Disclosed are a system and a method for collecting and returning luggage at public transportation systems. The method includes storing characteristic features and metadata corresponding to a luggage and its individual owner, and associating a color while collecting the luggage at a luggage submitting terminal. The luggage may be easily identified at a luggage providing terminal, using an identification tag attached to the luggage and the associated metadata (including the associated colour). Upon an end of journey, the individual may be allowed to pick the luggage upon providing a handshake signal. In case the handshake signal is not provided and the individual owner's metadata is not matched, security agencies may be alerted about picking of the luggage by another individual.

Abstract: The present disclosure relates to system(s) and method(s) for generating an automatic virtual photo album. The system receives a signal. The signal is configured to enable a rear camera and a front camera of a device to click a set of images. The set of images comprise a subset of front images and a subset of rear images. The subset of front images is further analysed. Based on the analysis, the system extracts a photographer mood. The system further links the photographer mood with the subset of rear images. Upon the linking, the system generates an automatic photo album.

Abstract: The present disclosure relates to system(s) and method(s) for providing access of an application to a user. The system receives a captcha request from a user device. Upon receiving the captcha request, the system identifies a set of IOT devices in a vicinity of the user device. The system further identifies one or more actions associated with one or more IOT devices, from the set of IOT devices. Further, the system generates a captcha message on the user device. The captcha message comprises the one or more actions to be performed by a user. The system further verifies one or more results received from the one or more IOT devices. Further, the system provides an access of the target application to the user on the user device based on the validation of the one or more results.

Abstract: Disclosed is a system for notifying hacking to a user thereby ensuring verified connection of a client machine with a server intended to be connected is disclosed. The system acquires a server certificate comprising data structure. The data structure may be acquired upon receipt of a response to a request initiated by the client machine. In one aspect, the data structure may be referred to as a tree site to verifier pertaining to the request. The system further receives a validation acknowledgement indicating validity of the server certificate. The system further performs a reverse certificate look up verification process upon receipt of the acknowledgment.

Abstract: The present disclosure relates to a dynamic catalog translation system (DCTS) for internationalization of an application in a cloud environment. The DCTS may comprise receiving a catalog, associated with the application, in a first language from a developer device. The DCTS may further comprise receiving a request for the catalog in a second language from a user device running the application. Further, the DCTS may comprise dynamically generating the catalog in the second language in response to the received request from the user. The catalog is generated in a real-time or a near real-time of running the application at the user device. Furthermore, the DCTS may comprise communicating the generated catalog in the second language to the user device so that the application is configured to execute at the user device in the second language.

Abstract: A method, a system and a computer program product for detecting and managing obfuscation of a road sign may be provided herein. The method may include receiving, a plurality of images from a plurality of vehicles over a time period, determining an extent of obfuscation of road sign in each of set of images. A current extent of obfuscation of the road sign is the extent of obfuscation of the road sign in most recent of the set of images. The method further includes performing a time-series analysis of extent of obfuscation of the road sign in each of set of images to determine rate at which the extent of obfuscation of road sign is increasing and determining an impending risk of failing to spot road sign, from an appropriate distance by vehicle. The method further includes providing a recommendation based on impending risk of failing to spot road sign.

Abstract: A method and system for generating Key Performance Indicators (KPIs) for a software based on debugging information is disclosed. In some embodiments, the method includes creating a mapping of each of a plurality of lines in a log of the software to at least one issue Identifier (ID) from a set of issue IDs. The method further includes generating a mapping database consisting of the logs along with their predicted issued ID based on the aforementioned mapping. The method further includes identifying, for each of the set of issue IDs, a set of mapped sentences based on a set of mapped lines. The method further includes generating, for each of the set of issue IDs, a KPI based on the associated set of mapped sentences and the associated set of mapped lines.

Abstract: Disclosed is a client system for facilitating authentication of a user characterized by validating a password, at the client machine, transmitted by a server. In order to authenticate the user, initially, the client machine transmits a User Identification (ID) to the server. Upon receipt of the User ID, the server receives the User ID from the client machine and accordingly transmits a password to the client machine. In one aspect, the password may be transmitted by identifying the password, pertaining to the User ID, from a server password database and altering the password, to be transmitted, based on the metadata by using a Random Character Generator (RCG) algorithm. Subsequently, the client machine receives the password pertaining to the User ID from the server. Post receipt of the password, the client machine compares the password with a complementary password stored in a client password database presents on a client machine.

Abstract: Disclosed are a system and a method for collecting and returning luggage at public transportation systems. The method includes storing characteristic features and metadata corresponding to a luggage and its individual owner, and associating a color while collecting the luggage at a luggage submitting terminal. The luggage may be easily identified at a luggage providing terminal, using an identification tag attached to the luggage and the associated metadata (including the associated colour). Upon an end of journey, the individual may be allowed to pick the luggage upon providing a handshake signal. In case the handshake signal is not provided and the individual owner's metadata is not matched, security agencies may be alerted about picking of the luggage by another individual.

Abstract: The present disclosure relates to system(s) and method(s) for generating an automatic virtual photo album. The system receives a signal. The signal is configured to enable a rear camera and a front camera of a device to click a set of images. The set of images comprise a subset of front images and a subset of rear images. The subset of front images is further analysed. Based on the analysis, the system extracts a photographer mood. The system further links the photographer mood with the subset of rear images. Upon the linking, the system generates an automatic photo album.

Abstract: The present disclosure relates to system(s) and method(s) for transferring a document. The system receives a document comprising a set of letters, corresponding to a first area, and a set of images, corresponding to a second area. The system divides the first area into a first set of chunks and the second area into a second set of chunks. Further, the system adds a set of dummy chunks to the first set of chunks and the second set of chunks to generate a modified first set of chunks and a modified second set of chunks. Furthermore, the system rearranges position and dimensions of each chunk to generate a modified first area and a modified second area. The system generates a scrambled document based on the modified first area and the modified second area. The system further transfers the scrambled document to a receiver.

Abstract: The present disclosure relates to system(s) and method(s) for real time compression of a data frame. The system receives the data frame comprising a set of symbols. Further, the system identifies frequency of each symbol, from the set of symbols. The system further sorts the symbols in descending order of frequency, associated with each symbols. Further, the system computes a compression gain associated with each predefined case type, a set of predefined case types. Furthermore, the system selects a target predefined case type, based on the comparison of the compression gain of each predefined case types. The system further assigns a compressed code to Most Frequent Symbols (MFS), in the data frame. The compressed code is assigned based on the target predefined case type. Further, the system generates a compressed frame, associated with the data frame. The compressed frame comprises a header and a sequence of compressed symbols.