Identification

DAMAGED IDENTIFICATION IN FRAMED STRUCTURE USING NATURAL FREQUENCIES IN ETABS

Structural Damage Identification Is An Important Part Of Structural Health Monitoring Because Damage In Beams, Columns, Joints And Lateral-load-resisting Members Reduces Stiffness And Changes The Dynamic Behaviour Of Framed Structures. In R...

BLOOD GROUP DETECTION USING FINGERPRINT

Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...

Face Identification In Movie Footage

Face Identification And Object Detection In Movie Footage Present Significant Challenges Owing To The Dynamic Nature Of Video Content, Complex Scene Transitions, Rapid Movements, And Occlusions. Existing Systems That Apply Image-based Algor...

AI-Based Forensic Face Sketch Generation and Suspect Identification from Eyewitness Verbal Description

Suspect Identification Based On Eyewitness Descriptions Remains A Critical Challenge In Criminal Investigations Due To Memory Limitations, Language Barriers, And The Lack Of Reliable Visual Evidence. Traditional Forensic Sketching Methods R...

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...

GAN FOR FINGERPRINT IMAGE GENERATION

HUMAN IDENTIFICATION USING DENTAL BIOMETRICS- A REVIEW

Human Identification Is A Vital Component Of Forensic Science, Crime Scenes, And In Addition To Mass Disaster Victim Identification. There Exists Plenty Of Conventional Biometrics Such As Fingerprint, Face Recognition, Etc.; However, Dental...

FIRE IMPACT ASSESSMENT OF FLAMMABLE FUEL STORAGE IN HEAT TREATMENT PLANT USING FIRE DYNAMIC SIMULATOR

Today We Use Highly Durable Materials In Our Day To Day Life. Some Material Used For Manufacturing Of Mechanical Components And Infrastructure Projects Require High Strength And Durability. To Make A Component Highly Durable Heat Treatment...

Railway Track Crack Detection System Prototype

This Paper Presents A Railway Crack Detection Robot Using Arduino, Designed To Detect Cracks And Defects In Railway Tracks. The Robot Is Equipped With Sensors That Detect Cracks And Transmit Data To A Central Station. The System Aims To Imp...

LITTER MANAGEMENT USING AI

This Paper Presents An Advanced Littering Management System That Leverages Image Processing And Deep Learning To Identify Vehicles, Detect Littering Incidents, And Promote Urban Cleanliness. By Integrating With Existing Surveillance Network...

FAUX FINDER

Fake Photos Have Recently Gained Popularity, Making It Harder For Individuals To Recognize Them. Many Professions, Such As Forensics, Are Suffering As A Result Of These Fake Photographs, And Social Media Has Also Become An Issue As A Result...

Log Analysis – Securing Log & Error Mitigation Using AI

This Journal Paper Introduces A New Method For Analyzing Error Codes And Identifying Sensitive Information In System Logs Using Artificial Intelligence (AI) Methods. The Focus Is On A Particular Aspect Of Log Analysis, Where Error Logs From...

Advanced Intelligent Culinary Storage Solutions With Integrated Technology And Automated Organization Features

The Smart Kitchen Cabinet Project Intends To Create An Enhanced Kitchen Storage System That Uses IoT (Internet Of Things) Technologies, RFID (Radio Frequency Identification), And Machine Learning Algorithms To Improve Kitchen Inventory Mana...

Plant disease detection

The Identification And Detection Of Diseases Of Plants Is One Of The Main Points Which Determine The Loss Of The Yield Of Crop Production And Agriculture. The Studies Of Plant Disease Are The Study Of Any Visible Points In Any Part Of Th...

PERSON RE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK

Deep Learning Is A Subset Of Machine Learning, Which Is Essentially A Three-layer Neural Network. These Neural Networks Try To Mimic The Behaviour Of The Human Brain, But They Are Far From Being Able To "learn" From Large Amounts Of Data. T...