• Sharanya RP
• Shreya M Bharadwaj
• Sameer Singh
• Dr. Bhagyashree Ambore

Some researchers have proposed non-invasive solutions to computer vision and human-computer interaction problems. The main idea is to click the required speed of the vehicle in the driving calculation to meet the driver's needs and improve the accuracy and speed of the system. In this article, 3D Filter descriptors designed specifically for video messaging effectively stand with optimized three-dimensional content display. The third paper presents new ideas for developing discriminative control of convolutional neural systems (CNNs) for attack recognition, while the fourth paper presents the design of a personalized CNN to solve real-world problems. The fifth resolution focuses on identifying tired drivers and the accuracy of display information and video input to enable immediate visibility. In addition, the sixth and seventh papers contribute to the advancement of computer vision by providing an in-depth study of non-rigid facial recognition and representation, as well as social norms for local facial expressions. Together, these theories are advancing the field by addressing topics ranging from driver safety to facial recognition and diagnostics.

"Driver Safety System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e483-e488, May-2024, Available :http://www.jetir.org/papers/JETIR2405456.pdf

"Driver Safety System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppe483-e488, May-2024, Available at : http://www.jetir.org/papers/JETIR2405456.pdf