Driver Drowsiness Detection System using Arduino and Deep Learning

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International Journal of Innovations in Engineering and Science

ISSN : 2456-3463.

DOI:10.46335

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Driver Drowsiness Detection System using Arduino and Deep Learning

Driver Drowsiness Detection System using Arduino and Deep Learning Omkar Jagtap, Somesh Chaurasia, Pranjali Choudhary, Gopal Buwade, Mahesh Dhote, Dr. U.B. Aher DOI : 10.46335/IJIES.2023.8.10.2

Predicting Socio-Economic Development Using Deep Learning

Predicting Socio-Economic Development Using Deep Learning Aditya Singh , Devesh Pandey, Anuj Pandey , Snehal Latam DOI : 10.46335/IJIES.2023.8.4.2 Abstract— For Uniform growth across the country there is a need to find socio-economic status and monitoring of remote areas. It is about the current state of development or the process state of socio-economy of that […]

Development of Gesture Controlled Home Automation

Development of Gesture Controlled Home Automation Authors : Prathmesh Palandurkar, Sanskruti Khobragade , Swanand Dhaktod, Rutwik Shivankar, Rugved Tamboli, Khushi Thakre, Krunal Bhaiswar DOI : 10.46335/IJIES.2024.9.9.6 Abstract- With growing technological advancements for smart cities, the demand for intuitive and user-friendly assistance for automating our houses has become necessary for many while providing a sense of comfort […]

Literature Review and Methods for Real Time Object detection using Raspberry Pi

Literature Review and Methods for Real Time Object detection using Raspberry Pi Authors : Tushar Dhake, Dr. V. D. Chaudhari, Dr. H. T. Ingale, H.V. Dhande, M. N. Patil DOI : 10.46335/IJIES.2025.10.7.7 Abstract – Real-time object detection is essential for applications such as surveillance, robotics, and autonomous systems. This paper explores the implementation of edge processing on […]