MACHINE LEARNING BASED VEHICLE SAFETY SYSTEM

Abstract

ABSTRACT A machine learning based vehicle safety system (100) comprising: a plurality of sensors configured to detect one or more parameters associated with the vehicle and the driver’s condition; a communication module coupled with the plurality of sensors, wherein the communication module is configured to upload the one or more parameters to a cloud database; a processor communicatively coupled with the communication module, configured to: receive the one or more parameters from the cloud database; analyze the one or more parameters using deep learning algorithms; determine anomalies associated with the vehicle and driver’s condition; generate an alert notification on an alarming device regarding the anomalies. <>

Specification

Description:
FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of vehicle safety systems and, in particular, to a machine learning based vehicle safety system designed to enhance road safety by detecting driver drowsiness using deep learning and recognizing potential hazards in real-time.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Conventional vehicle safety systems have long been integral to improving road safety, encompassing a variety of tools and techniques, including seat belts, airbags, , Claims:1. A machine learning based vehicle safety system (100) comprising:
a plurality of sensors configured to detect one or more parameters associated with the vehicle and the driver's condition;
a communication module coupled with the plurality of sensors, wherein the communication module is configured to upload the one or more parameters to a cloud database;
a processor communicatively coupled with the communication module, configured to:
receive the one or more parameters from the cloud database;
analyze the one or more parameters using deep learning algorithms;
determine anomalies associated with the vehicle and driver's condition;
generate an alert notification on an alarming device regarding the anomalies.

2. The machine learning based vehicle safety system (100) of claim 1, wherein the plurality of sensors includes a camera sensor, an accelerometer, and a gyroscope.

3. The machine learning based vehicle safety system (100) of claim 1, wherein the one or more parameters include eye closure duration, head n

Documents