Abstract: The present disclosure relates to a system for differentiating objects present in a vehicle, the system includes one or more sensors placed within a vehicle to generate a set of signals in response to an object being present within the vehicle. An ADC converts the received set of signals to a digital form. A processor receives the digital set of signals, and process the received digital set of signals, to generate point cloud dataset. The processor extracts, from the point cloud dataset, a first set of features pertaining to a single frame and a second set of features pertaining to a multi-frame. The extracted set of features are provided as input to a classifier to differentiate the object present in one or more zones within the vehicle.

Abstract: The present disclosure relates to a system (100) for determining occupancy state of objects in a vehicle, the system includes a processor (106) operatively coupled to one or more sensors (102), to process the received set of signals to generate a point-cloud dataset of the received set of signals. A feature generation unit (120) extracts a set of features from the point-cloud dataset and a plurality of classifiers (122) operatively coupled to the feature generation unit to receive the extracted set of features and classify the extracted set of features by cancellation of noise signal generated from the objects within the vehicle, the classification pertaining to any or a combination of existence attributes, occupancy attributes, class attributes and position attributes of living objects to determine the occupancy state of living objects left unattended in one or more zones within the vehicle.