Platform
Android/IOS
Technology
AR & AI/ML algorithms for image recognition
Use Case
Crime scene investigation, Providing real-time identification
Industry
Law enforcement and criminal investigation agencies, Forensic departments, and Security organizations.
Our Motto
Revolutionizing Crime Scene Investigations
At AllReal, we understand the importance of solving crimes and bringing justice to those who have been wronged. That’s why we’ve created an innovative AI platform to assist crime scene investigations. Our AI technology can analyze evidence faster and more accurately than human investigators. It can identify suspects, weapons, and other crucial details that can help crack a case. With our AI for crime scene, investigations no lead goes unexplored and no evidential stones are left unturned. We strive to help law enforcement agencies achieve their mission of ensuring public safety.
Revolution
AI-Powered Crime Scene Analysis.
With our AI technology, AllReal is revolutionizing how crime scene investigations are conducted. Our platform uses advanced algorithms to quickly analyze evidence and help law enforcement agencies solve crimes faster. From identifying suspects and weapons to analyzing fingerprints and DNA, our AI for crime scene is the future of investigations.
Advanced AI
Our platform uses advanced algorithms to quickly analyze evidence and help law enforcement agencies solve crimes faster.
Identify Suspects
Our AI technology can identify suspects and weapons, analyze fingerprints and DNA, and help solve crimes faster.
Features
- Real-time Image Recognition: The app utilizes AI and ML algorithms to perform real-time image recognition, identifying objects, persons, and evidence within crime scene photos and videos.
- Database Integration: Integrates with extensive databases containing known records of objects, persons, and criminal data, allowing for accurate matching and identification during investigations.
- Object Identification: Automatically detects and categorizes objects found at crime scenes, such as weapons, drugs, or stolen items, aiding in evidence collection and analysis.
- Person Recognition: Uses facial recognition technology to identify persons of interest, suspects, or victims, facilitating suspect identification and criminal profiling.
- Evidence Analysis: Analyzes digital evidence, such as fingerprints or tire tracks, to link crime scene evidence with potential suspects or criminal activities.
- Alerts and Notifications: Provides real-time alerts and notifications to law enforcement personnel, highlighting potential threats or important findings during crime scene investigations.
- AR Headset Compatibility: Designed to be compatible with AR headsets, offering immersive and interactive crime scene visualization for enhanced analysis and decision-making.
Applications
- Law Enforcement Agencies: Enables law enforcement agencies to quickly and accurately analyze crime scene evidence, identify suspects, and solve cases more efficiently.
- Forensic Departments: Assists forensic investigators in analyzing digital evidence and linking it to criminal activities or suspects, improving the overall forensic investigation process.
- Security Organizations: Enhances security operations by providing advanced image recognition capabilities, helping security personnel detect and respond to potential threats more effectively.
- Criminal Investigations: Supports criminal investigations by providing insights and intelligence gathered from crime scene images and videos, aiding in suspect identification and evidence collection.
Methodology
- Data Collection: Collected images and data from simulated crime scenes.
- Algorithm Development: Developed AI models using machine learning techniques to identify various types of evidence.
- Testing and Validation: Tested the AI models on new data to ensure accuracy and reliability.
Results
- Accuracy: The AI model achieved an accuracy rate of 92% in detecting and classifying crime scene evidence.
- Efficiency: Reduced the time taken for initial crime scene analysis by 40%.