Abstract :

An Accident Is An Unforeseen And Undesirable Occurrence. Excessive Speed Is A Key Contributor To Vehicular Accidents. Numerous Lives May Be Saved If Emergency Services Were Promptly Informed Of Accidents And Responded Swiftly. The Advent Of Technology And Infrastructure Has Simplified Human Existence. In Light Of The Alarming Increase In Accidents In India, This Strategy Guarantees That Authorities Are Alerted Before Or At The Time Of The Incident. The Progression Of Technology Has Led To A Rise In Traffic Hazards And Road Accidents, Causing Significant Loss Of Life And Property Owing To Insufficient Emergency Services. The Inability To Get Prompt Medical Attention Is The Primary Cause Of Death In Road Accidents, Representing Fifty Percent Of All Deaths. Given That Every Second Is Critical After An Accident And Prompt Intervention Is Essential To Prevent Fatalities, Intelligent Transportation Systems Have Recently Emerged As A Significant Tool For Enhancing The Analysis Of Transportation Networks And Advancing Travel Safety. Accident Detection Systems Are Among The Most Successful Technology For Reducing Mortality Rates In Road Incidents By Facilitating Prompt Medical Treatment For Victims. This Article Discusses A Computer Vision-based Emergency Warning System Developed In Python That Use Object Tracking Algorithms To Identify Accidents. An Effective Automated Accident Detection System That Facilitates The Reporting Of The Accident Scene To Emergency Personnel Is Essential For Preserving Human Life. This Technology Aims To Detect Accidents In Advance And Relay The Information To Emergency Services To Provide Prompt Assistance To The Injured Individual. The Objective Of The Study Is To Assess The Severity Of An Accident And To Alert The Rescue Team Promptly.

Published:

08-1-2026

Issue:

Vol. 26 No. 1 (2026)

Page Nos:

178-184

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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