33% More accurate matching
Simplified workflow
Adaptive AI learning
Scalable solution
The challenge
Accelerating ballistics forensics with AI
A leading AI technology company for law enforcement aimed to develop an advanced system to match bullet shell images and determine if they were fired from the same gun. Their existing method relied on complex preprocessing steps, limiting efficiency and accuracy. To overcome these challenges, they sought a more streamlined, adaptable, and scalable AI-driven solution.
Key challenges
Couldn't improve with new data
Failed to meet forensic demands
Pixel-based processing delayed analysis
Rotation and alignment reduced accuracy
The solution
Revolutionizing forensic identification with AI
AI-driven forensic matching
Built an autonomous system for multi-caliber analysis
Used Azure AI, ML, and NVIDIA for precision
Removed manual preprocessing
Optimized and scalable solution
Integrated PYO with Autonomous AI
Continuous learning for accuracy
Real-time forensic matching.
Implementation approach
1
Advanced AI processing
Automated casing comparison with deep learning
Improved forensic accuracy and speed
Real-time image analysis for multiple calibers
2
Optimized workflow
Removed manual alignment and rotation
Streamlined forensic data processing
Boosted efficiency and reliability
3
Scalable and adaptive system
AI improves with new data
Scalable for future enhancements
Integrated with law enforcement databases
The impact
Next-gen forensic matching with AI
Improved accuracy
33% better casing match rates
Optimized for common firing pin shapes
Enhanced forensic reliability
Efficient operations
Removed complex preprocessing
Reduced manual effort
Accelerated analysis
Scalable AI
Learns continuously
Adapts to forensic needs
Strengthened industry leadership
Looking ahead
Enhanced AI learning
Continuous model improvement with more training data
Scalable forensic solutions
Expanding AI capabilities for broader forensic applications
Optimized law enforcement
Accelerating investigations with faster, more accurate analysis
