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Autonomous Human Violence Detection In Smart Surveillance
Autonomous Human Violence Detection Has Become An Essential Component In Modern Smart Surveillance Systems Due To The Increasing Demand For Public Safety And Automated Monitoring. Traditional Surveillance Methods Rely Heavily On Continuous...
Mine Detector And Live Body Sensing Robot
The Proliferation Of Landmines And Explosive Devices In Conflict Zones Poses A Significant Threat To Human Safety, Necessitating The Development Of Automated Detection Systems. This Paper Presents The Design And Implementation Of A Smart Robo...
Real-Time Violence Detection Using Deep Learning
Violence Detection In Surveillance Videos Has Become An Essential Requirement For Modern Safety Systems Due To Rising Security Concerns Across Public, Private, And Institutional Environments. Traditional CCTV Monitoring Systems Rely Heavily...
AI-Based Surveillance System For Abandoned Object Detection Using YOLOv8
The Proliferation Of Surveillance Infrastructure Across Transportation Hubs, Commercial Complexes, And Civic Spaces Has Not Been Matched By A Proportional Improvement In The Capacity Of Human Operators To Effectively Monitor Multiple Video...
REAL-TIME VIOLENCE DETECTION SYSTEM USING YOLOV11 AND DEEP LEARNING
The Widespread Deployment Of Surveillance Systems Has Resulted In Continuous Generation Of Large-scale Video Data, Creating Challenges In Timely Identification Of Violent Incidents Such As Physical Assaults And Aggressive Behavior. Conventi...
An Integrated Real-Time Road Surveillance System Using YOLOv8 For Multi-Class Object Detection
The Growing Number Of Road Accidents Worldwide Necessitates The Deployment Of Intelligent Systems Capable Of Continuously Monitoring Roadway Conditions. This Paper Introduces A Comprehensive Computer Vision Framework Designed To Detect Vari...
YOLO-MineSafe: A Vision-Based Abnormal Fall Detection And Emergency Alert Framework For Isolated Mining Workers
Mining Operations Consistently Rank Among The World’s Most Hazardous Occupational Environments, With Workers Stationed In Isolated Areas Facing Undetected Fall Risks, Sudden Health Emergencies, And Life-threatening Incidents That Current Sa...
Multimodal Video Summarization For Crime Scene Analysis Using YOLO Based Object Detection
The Rapid Growth Of Surveillance Cameras In Public Places Has Led To The Generation Of Large Volumes Of Video Data, Making Manual Monitoring Difficult And Inefficient. Detecting Violent Activities Such As Fights, Weapon Usage, And Suspiciou...
Agri-Guard: An AI-Based Smart Agricultural Surveillance System Using YOLOv8 For Real-Time Object Detection
Crop Damage Caused By Wild Animals, Birds, And Unauthorized Human Intrusion Remains A Major Challenge In Modern Agriculture. Traditional Monitoring Approaches Such As Manual Supervision, Fencing, And Static Alarm Systems Are Often Inefficie...
CRIMINAL FACE RECOGNITION SYSTEM USING ARTIFICIAL INTELLIGENCE
This Project, Titled "Criminal Face Recognition System Using AI", Proposes An Intelligent System Designed To Identify And Track Individuals With Criminal Records Through Realtime Facial Recognition, Thereby Aiding Law Enforcement Agencies I...
The Study On Moderating Effect Of Employee Motivation On Workplace Surveillance And Employee Engagement Amongst Employees At The Nithya Packaging Pvt. Ltd
In The Modern Business Landscape, Organizations Are Under Increasing Pressure To Maintain Productivity, Ensure Workplace Safety, And Safeguard Valuable Assets. To Achieve These Objectives, Many Companies, Including Those In The Manufacturin...
ALERTDRIVER: EARLY DETECTION OF FATIGUE STATES IN DRIVERS DURING LONG DRIVING STRETCHES
The Majority, Of The Accidents Were Happening Perpetually Due To Driver Drowsiness Over The Decades. Automation Has Been Playing Key Role In Many Fields To Provide Conformity And Improve The Quality Of Life Of The Users. Though Various Drow...
An Improved Fire Detection Method Based On CNN
In Order To Minimize Damage, Fire Detection Is A Crucial Component Of Early Warning Systems In Both Urban And Rural Areas. And Quickening Response Times. Traditional Fire Detection Methods Have Limited Environmental Detecting Capabilitie...
MULTI-PURPOSE ROBOT FOR MILITARY APPLICATIONS
This Project Focuses On The Development Of A Multi- Purpose Military Robot Designed To Enhance Operational Efficiency And Reduce Risks To Human Personnel In Hazardous Environments. The Robot Is Built Around The NodeMCU ESP32 Microcontro...
EXAM PROCTORING SYSTEM
The Rise In Exam Malpractice Has Necessitated Innovative Solutions To Uphold Academic Integrity. Traditional Invigilation Methods Often Fail Due To Human Error And Limited Monitoring Capabilities, Allowing Students To Exploit Blind Spots An...