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Comparative Analysis of Vehicle
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Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines

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₹5,500.00
Aim:       This paper aim to detect Driver Drowsiness Detection by using support Vector Machines. Abstract:      Driver drowsiness is
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Deep Learning Model for Driver Behavior Detection in Cyber-Physical System-Based Intelligent Transport Systems

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₹5,500.00
Aim: To develop a real-time system for detecting and alerting drowsiness in drivers using YOLOv8 object detection.
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Driver-Drowsiness Detection System
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Driver-Drowsiness Detection System Using Facial Features

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₹5,500.00
Aim: This paper aim to detect Real time driver’s fatigue state using Convolutional Neural Network (CNN) Synopsis:           Accidents are
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Low-Cost CNN for Automatic Violence Recognition
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Low-Cost CNN for Automatic Violence Recognition on Embedded System

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₹9,000.00
Aim:          The main aim of the project is to auto detect any violence action in public place and send
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