Abstract: The present invention generally relates to an emotion recognition and notification system comprises an input unit includes a camera for capturing a facial image of a user's face; a pre-processing unit to remove noise and enhance the details of the captured facial image; a face detection unit to detect a face from the captured facial image; a features extraction unit to extract a set of image features from detected face from the captured facial image; a central processing unit equipped with a two channel facial expression recognition network based on CNN and LSTM to recognize an emotion of a user upon comparing the set of image features from a pre-stored image features; and a control unit equipped with a communication module to alert a registered user about a recognized emotion.

Abstract: An integrated motor vehicle dangerous driving warning and control system comprising at least one specialized computer machine including electronic AI decision making capability further comprising one or more vehicle sensors for monitoring the vehicle and for monitoring activities of the driver including activities related to the use of cellular phones or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather and climatic conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the vehicle driver use of a cellular telephone and/or other wireless communication devices.

Abstract: The customer recommendation and notification system comprises a connecting module configured to activate two different actions of a creator, wherein the connecting module including; a first connecting module for a first action of the creator configured to recognize worth that inserting simulated intelligence innovation into items and administrations give to customers; a second connecting unit for a second action of the creator configured to analyze a portion of the costs buyers experience; an organizing unit configured to recognize four kinds of shopper encounters; an assisting module configured to assist organizations with offering significant advantages; an examining module configured to examine various periods of client lifecycle and recover social bits of knowledge of individual clients; a pre-processing unit configured to foster Point structure, unite and organize written works including genuine models and cases; and a primary processor configured to handle organized information and settle on continuous

Abstract: The present invention generally relates to an emotion recognition and notification system comprises an input unit includes a camera for capturing a facial image of a user's face; a pre-processing unit to remove noise and enhance the details of the captured facial image; a face detection unit to detect a face from the captured facial image; a features extraction unit to extract a set of image features from detected face from the captured facial image; a central processing unit equipped with a two channel facial expression recognition network based on CNN and LSTM to recognize an emotion of a user upon comparing the set of image features from a pre-stored image features; and a control unit equipped with a communication module to alert a registered user about a recognized emotion.