International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Next-Gen Travel Safety for Women: Integrating Advanced Technologies for Enhanced Security

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Next-Gen Travel Safety for Women: Integrating Advanced Technologies for Enhanced Security

 

Authors:

1 Mr V. Udhayakumar,  2 S. Janani

1Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering college (Autonomous), Puducherry 605008, India.

2Post Graduate Student, Department of Computer Applications, Sri Manakula Vinayagar Engineering college (Autonomous), Puducherry 605008, India.

*Corresponding author’s email address: Sankarjanani17@gmail.com

 

Abstract- Next-Gen Travel Safety for Women: Integrating Advanced Technologies for Enhanced Security Abstract Ensuring safe travel on roads with automobiles or cabs is crucial for creating secure urban environments. Women traveling face significant risks, including harassment, unwanted physical touch, kidnapping, and assault. Often, the shortest or fastest route is not necessarily the safest. Users may prefer a slightly longer route if it means avoiding these dangers. Current navigation systems like Google Maps, Apple Maps, and Bing Maps fall short in addressing safety concerns such as theft, eve-teasing, snatching, hijacking, robbery, and more. These systems typically overlook safety factors in route planning. With rising urban crime rates, addressing safety and security for women has become a pressing concern. To tackle this challenge, this project introduces an innovative Travelers Safety Solution, utilizing advanced technologies to enhance the safety and experience of women commuters. By integrating Google Maps API, YOLOv8 for object detection, Tesseract OCR for text recognition, and connectivity with RTO servers, the system offers a comprehensive safety framework. Key features include route planning based on real-time traffic data, driver communication, SMS notifications with critical journey details, and real-time location tracking. The system actively monitors route deviations using map-matching algorithms, triggering immediate emergency alerts if deviations occur, notifying both the user and their emergency contacts. Additionally, users can review and provide feedback on driver performance post-journey. This solution not only addresses the safety concerns of women travelers but also empowers them with real-time information and communication, fostering a safer and more secure commuting experience.


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