Abstract: Disclosed herein is method and congestion management system for reducing road congestion. Traffic data related to plurality of vehicles is analyzed by a trained traffic model for predicting speed of each vehicle and signal time associated with intersection points. Optimal speed for each vehicle and an optimal signal time for each of the intersection points is determined based on analysis of the previous values and historic traffic data. The determined optimal speed and the optimal signal time are respectively provided to a vehicle control system associated with each vehicle and a traffic controller associated with each intersection point. In an embodiment, the method of present disclosure reduces traffic congestion on any selected portion of road. Further, the method of present disclosure eliminates and/or minimizes number of instances that a vehicle has to stop/start at the traffic signals, thereby enhancing fuel economy and reducing waiting time for the vehicles.

Abstract: A method and system for navigating vehicles based on road conditions determined in real-time is disclosed. The method includes the steps of receiving a first dataset including an image of a section of a road within a Field of View (FOV) of a camera attached to a vehicle and a second dataset associated with the road. The method further includes detecting edges and a vanishing point in the image, correcting road perspectivity in the image, and determining surface anomalies in the road based on a set of parameters, the second dataset and a Time of Flight technique (ToF), creating a digital elevation model for the image, and assigning a value, in real-time, from a predefined value range to each of a plurality of grids in the image based on a digital elevation model to generate a digital elevation image. The set of parameters includes volume associated with the surface anomalies.

Abstract: The present invention relates to a method of identifying a brand and a model of a vehicle. The method comprises obtaining one or more video frames. Further, the method comprises detecting one of presence or absence of text in the at least one vehicle. Upon detecting the presence of the text, the method comprises determining at least one of the brand and the model of the at least one vehicle by accumulating the text recognized in the one or more video frames. Further, identifying at least one of the brand and the model of the at least one vehicle based on an accumulated text. Upon detecting the absence of the text, the method comprises determining the brand of the at least one vehicle based on logo associated with the vehicle.

Abstract: A method and system for navigating vehicles based on road conditions determined in real-time is disclosed. The method includes the steps of receiving a first dataset including an image of a section of a road within a Field of View (FOV) of a camera attached to a vehicle and a second dataset associated with the road. The method further includes detecting edges and a vanishing point in the image, correcting road perspectivity in the image, and determining surface anomalies in the road based on a set of parameters, the second dataset and a Time of Flight technique (ToF), creating a digital elevation model for the image, and assigning a value, in real-time, from a predefined value range to each of a plurality of grids in the image based on a digital elevation model to generate a digital elevation image. The set of parameters includes volume associated with the surface anomalies.

Abstract: The present invention discloses method and application deployment system for dynamic deployment and vertical scaling of applications in a cloud environment. The application deployment system receives information of one or more system parameters of a target system and performs one or more processing operations on information to identify storage access details for a predefined time period of the target system. Further, an ideal configuration for the target system is estimated based on current requirement of one or more system parameters and the identified storage access details by using at least one of a rule-based model, a neural network model, and statistical model. Thereafter, the application deployment system performs dynamic deployment of the one or more applications based on the ideal configuration.

Abstract: This disclosure relates to method and system for providing a light weight secure communication for computing devices. In one example, the method includes generating a new encryption key based on a selected encryption key from among a plurality of encrypted keys and a current synchronized hash based on a set of pre-defined rules, generating an updated synchronized hash based on a message to be transmitted and the current synchronized hash using a pre-defined hash algorithm, encrypting the message to be transmitted using the new encryption key to generate an encrypted message, transmitting the encrypted message, and replacing the current synchronized hash with the updated synchronized hash. The set of pre-defined rules and the pre-defined hash algorithm are retrieved from a pre-installed library. Further, the current synchronized hash, the plurality of encryption keys, and the pre-installed library are synchronized between the first computing device and the second computing device.

Abstract: The present invention relates to a method of identifying a brand and a model of a vehicle. The method comprises obtaining one or more video frames. Further, the method comprises detecting one of presence or absence of text in the at least one vehicle. Upon detecting the presence of the text, the method comprises determining at least one of the brand and the model of the at least one vehicle by accumulating the text recognized in the one or more video frames. Further, identifying at least one of the brand and the model of the at least one vehicle based on an accumulated text. Upon detecting the absence of the text, the method comprises determining the brand of the at least one vehicle based on logo associated with the vehicle.

Abstract: Disclosed herein is method and congestion management system for reducing road congestion. Traffic data related to plurality of vehicles is analyzed by a trained traffic model for predicting speed of each vehicle and signal time associated with intersection points. Thereafter, optimal speed for each vehicle and an optimal signal time for each of the intersection points is determined based on analysis of the previous values and historic traffic data. Finally, the determined optimal speed and the optimal signal time are respectively provided to a vehicle control system associated with each vehicle and a traffic controller associated with each intersection point. In an embodiment, the method of present disclosure reduces traffic congestion on any selected portion of road. Further, the method of present disclosure eliminates and/or minimizes number of instances that a vehicle has to stop/start at the traffic signals, thereby enhancing fuel economy and reducing waiting time for the vehicles.

Abstract: The present invention discloses method and application deployment system for dynamic deployment and vertical scaling of applications in a cloud environment. The application deployment system receives information of one or more system parameters of a target system and performs one or more processing operations on information to identify storage access details for a predefined time period of the target system. Further, an ideal configuration for the target system is estimated based on current requirement of one or more system parameters and the identified storage access details by using at least one of a rule-based model, a neural network model, and statistical model. Thereafter, the application deployment system performs dynamic deployment of the one or more applications based on the ideal configuration.

Abstract: This disclosure relates to method and system for providing a light weight secure communication for computing devices. In one example, the method includes generating a new encryption key based on a selected encryption key from among a plurality of encrypted keys and a current synchronized hash based on a set of pre-defined rules, generating an updated synchronized hash based on a message to be transmitted and the current synchronized hash using a pre-defined hash algorithm, encrypting the message to be transmitted using the new encryption key to generate an encrypted message, transmitting the encrypted message, and replacing the current synchronized hash with the updated synchronized hash. The set of pre-defined rules and the pre-defined hash algorithm are retrieved from a pre-installed library. Further, the current synchronized hash, the plurality of encryption keys, and the pre-installed library are synchronized between the first computing device and the second computing device.