Domestic Artificial Intelligence - Harpia Technologies HARPIA-AI

Overview

Harpia Technologies' domestic AI solutions have been developed for critical tasks in the defense industry. The system offers advanced AI capabilities such as image processing, target recognition, autonomous decision-making, and anomaly detection.

Deep learning models developed by our domestic research and development team are specially trained and optimized for defense industry needs. The system provides operational superiority with its real-time processing capability.

Our HARPIA-AI portfolio offers innovative solutions for the future of the defense industry. Each model is created through a unique research and development process and designed to meet the needs of the industry.

                            High Accuracy
                            95%+ target recognition accuracy
                        

                            Real-Time Processing
                            30 FPS image processing speed
                        

                            Low Latency
                            < 50ms inference time
                        

                            National Technology
                            100% locally developed
                        

                            Modular Architecture
                            Flexible integration
                        

                            Advanced Security
                            Post-quantum encryption
                        

                            Object Recognition
                            Detects objects such as vehicles, people, structures, and threats in real time.
                        

                            Target Tracking
                            Locks onto and tracks moving targets with high accuracy.
                        

                            Anomaly Detection

                            Automatically identifies abnormal movement, heat, behavior, or image patterns.

                            Map Generation and Area Analysis
                            Generates real-time maps from flight or field imagery, marking critical areas.
                        

                            Pattern and Behavior Analysis
                            Learns routine movements, flags unusual behavior.
                        

                            Multi-Sensor Fusion
                            It produces more accurate perception by combining data from sources such as cameras, thermal sensors, LiDAR, etc.
                        

Technical Specifications

Processing Speed 30 FPS (real-time image processing)

Target Recognition Accuracy 95%+ (trained models)

Image Resolution 4K (3840x2160) support

Latency < 50 ms (inference time)

Hardware Platform GPU accelerated (NVIDIA/AMD)

Model Architecture CNN, RNN, Transformer-based

Training Dataset 100,000+ labeled images

Power Consumption 150W (normal), 300W (maximum)

Advanced Security Post-quantum cryptography

Integration OpenAPI 3.0 support

Ambient Temperature -40°C to +70°C

Certification TS EN 60950-1, MIL-STD-810G

Engineering and Technology

Deep Learning

Deep learning models developed using Convolutional Neural Networks (CNN) and modern transformer architectures. Adapted to specific tasks using transfer learning and fine-tuning techniques.

CNN-based image classification
Harpia-AI NTS-based object detection
Transformer-based attention mechanisms
Transfer learning optimization

Image Processing

Algorithms optimized for real-time image processing and analysis. Pre-processing steps such as noise reduction, contrast enhancement, and feature extraction are integrated.

Real-time video analysis
Multi-scale feature extraction
Noise reduction algorithms
Night vision image enhancement

Autonomous Decision Making

An autonomous decision-making system developed using reinforcement learning and decision trees. It has the ability to make optimal decisions in dynamic environments.

Reinforcement learning algorithms
Decision tree and random forest
Situational awareness models
Risk assessment and optimization

Anomaly Detection

An anomaly detection system developed using unsupervised learning techniques. It can detect deviations from normal behavior patterns and generate alerts.

Autoencoder-based anomaly detection
Isolation Forest algorithm
Time series analysis
Real-time alert system

Data Fusion

Advanced algorithms for integrating and analyzing multi-sensor data. Information obtained from different data sources is combined to produce more accurate results.

Bayesian data fusion
Kalman filtering
Multi-sensor synchronization
Uncertainty analysis

Security Architecture

Data security is ensured through post-quantum cryptography and advanced encryption techniques. The system provides protection against future quantum threats.

Post-quantum encryption
Zero-trust architecture
Advanced authentication
Data integrity protection

Application Areas

Target Recognition - Target detection and classification from image and video streams
Autonomous Takeoff and Landing System / Autonomous landing site discovery and landing system in emergencies
Autonomous Targeting - AI-powered automatic targeting and tracking system
Threat Detection - Advanced analysis for anomaly and threat detection
Image Analysis - Geospatial image analysis and mapping support
Autonomous Operations - Decision support for UAVs and other autonomous systems
Data Analysis - Extracting meaningful information from large data sets
Image Enhancement - Image enhancement for night vision and low visibility conditions
Predictive Maintenance - Early detection of system failures and maintenance planning
Strategic Planning - Long-term threat analysis and strategic decision support
Disaster Response - Life detection for rescue operations during natural disasters