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Papers tagged with "Detect"
YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING
Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...
IOT BASED FIRE PREVENTION SYSTEM FOR ELECTRIC VEHICLE BATTERIES
Electric Vehicles Require Intelligent Monitoring To Ensure Safety, Efficiency, And Longevity. This Study Proposes An IoT-enabled Battery Monitoring And Fault Detection System Targeting Risks Like Overheating, Voltage Imbalance, And Fire Haz...
DEEPTRACENET: AN AI DRIVEN FRAMEWORK FOR MATHEMATICAL FEATURE-BASED FORGERY DETECTION
The Rapid Growth Of Deepfake Technologies Has Raised Serious Concerns Regarding The Authenticity Of Digital Images And Videos, Impacting Information Security, Media Credibility, And Forensic Analysis. This Research Presents A Deep Learning-...
Smart Review Analysis System Using Machine Learning
The Rapid Proliferation Of Online Movie Reviews Has Created A Pressing Need For Automated Systems Capable Of Distinguishing Spoiler Content From Non-spoiler Opinions. This Paper Presents The Smart Review Analysis System (SRAS), An Intellige...
Traffic Signal Violation Detection System
Managing Traffic At Busy Intersections Has Become Increasingly Challenging Due To Frequent Signal Violations By Drivers. Ignoring Red Signals Often Leads To Unsafe Road Conditions And Traffic Disturbances. To Address This Issue, This Projec...
Smart Industrial Product Counting And Sorting Machine
In Modern Industrial Automation, Accuracy, Speed, And Reliability In Production Line Monitoring Are Critical Factors For Improving Productivity And Minimizing Human Intervention. The Smart Industrial Product Counting And Sorting System Is D...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
IoT-ENABLED SOLAR DRIP IRRIGATION WITH ELECTROMAGNETIC WATER TREATMENT AND AUTOMATIC CLOGGING CONTROL
This Paper Proposes IoT-enabled Solar Drip Irrigation With Electromagnetic Water Treatment And Automatic Clogging Control. Due To Mineral Precipitation And Sediments, Drip Irrigation Systems Reduce Efficiency By 50% And Also Suffer Frequent...
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...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
A Novel Dense-Swish-CNN With Bi-LSTM Framework For Image Deepfake Detection
The Rapid Advancement Of Deep Generative Models, Particularly Generative Adversarial Networks (GANs) And Diffusion-based Architectures, Has Substantially Lowered The Barrier To Producing Photorealistic Synthetic Human Faces, Collectively Re...
AI -POWER BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS
Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving...
BLOCKCHAIN-BASED MULTI-USER DYNAMIC VERIFIABLE SEARCHABLE ENCRYPTION FOR SECURE DATA STORAGE AND QUERY ON MALICIOUS CLOUD SERVER
The Increasing Elderly Population Has Led To A Growing Demand For Intelligent Healthcare Monitoring Systems. Falls Are One Of The Major Causes Of Injury And Mortality Among Elderly Individuals. This Paper Proposes An IoT-based Remote Monito...
Hybrid Deep Learning Model For Early Fault Detection In Energy-Intensive Tablet Press Equipment: MLP–1D CNN Fusion For EMIS Applications
Fault Detection In Pharmaceutical Tablet Press Equipment Is Crucial For Ensuring Product Quality, Minimizing Downtime, And Reducing Energy Consumption In Energy-intensive Manufacturing Environments. This Study Presents A Hybrid Deep Learnin...
Voice Based Secure Transaction System With Deepfake Detection
The Development And Growth Of Digital Payment Systems Have Created A Need For Secure Authentication Mechanisms. The Use Of Passwords, PINs And One-time Passwords Is No Longer Secure Against Cyber Attacks And Identity Theft. The Paper Sugges...