
Software Intelligence Behind Autonomous Systems
Smart hardware powered by advanced software architecture
BBA Teknoloji develops advanced software systems that form the core intelligence of autonomous aerial platforms. Our expertise spans ground control systems, GNSS-denied navigation, AI-assisted mission management, and multi-UAV coordination—designed, tested, and operated in real-world conditions.
Engineering Principles Behind Our Software
Every BBA software module is developed with autonomy, reliability, and real-world deployment as core design constraints.
Scalable by Design
Each software component is independently deployable, allowing rapid integration, upgrades, and platform-specific customization.
Designed Around Operations
Software behavior is driven by mission phases, not just sensors or hardware limitations.
Platform Independent
Our software runs across multiple flight controllers, sensors, and communication links without vendor lock-in.
Reliability First
Redundancy, health monitoring, and safe-state logic are embedded at the core of every autonomous function.
“Autonomy is not a feature — it is a system-level responsibility.”

BBA Software Ecosystem
BBA’s autonomous capabilities are delivered through a layered software stack designed for mission planning, execution, perception, and intelligent decision-making.
BBA Ground Control Station (GCS)
The BBA GCS is a fully integrated software platform for controlling and managing single and multi-UAV operations. It consolidates mission planning, real-time monitoring, data collection, and operational oversight into a single interface, providing operators with maximum situational awareness and control.
Flight and Mission Management
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Mission Planning: Create and define missions, set waypoints, and define operational zones directly on the map interface.
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Dynamic Updates: Modify routes, adjust mission parameters, or pause and resume UAV operations in real-time.
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Route Optimization: Software calculates efficient flight paths considering terrain, obstacles, and UAV capabilities.
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User-Friendly Interface: Map-based control, drag-and-drop waypoints, and intuitive dashboards simplify complex operations.


Real-Time Data Monitoring
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Telemetry: Live drone position, speed, altitude, and system health data.
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Payload Feeds: Camera (EO/IR), LiDAR, and thermal sensors.
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Environmental Sensors: Temperature, humidity, and weather updates integrated in real-time.
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Centralized Visualization: All UAV data streams are consolidated for quick operator assessment.
Multi-UAV (Swarm) Operations
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Synchronized Control: Operate multiple drones simultaneously within the same mission.
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Efficient Coverage: Large areas can be scanned or monitored faster using coordinated swarm operations.
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Data Consolidation: Sensor outputs and telemetry from all UAVs are merged into a single actionable dashboard.
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Reduced Manpower: Fewer operators needed to manage multiple drones, increasing operational efficiency.

AI-Assisted Support
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Risk Detection: AI modules analyze incoming data for potential hazards.
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Anomaly Detection: Detect deviations in sensor readings or UAV behavior.
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Recommendations: Suggest alternative routes, optimal flight paths, or emergency procedures.
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Enhanced Safety: Reduces operator error and ensures safer mission execution.
Adaptability to Mission Types
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Civil and Military Applications:
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Mapping, patrol
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Security
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Reconnaissance
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Infrastructure inspection
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Data collection.
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Flexible Mission Profiles: The same software can adapt to indoor and outdoor, urban and remote, GNSS-enabled and GNSS-denied operations.
Operational Advantages
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Simplifies complex UAV management with a centralized interface.
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Enables real-time control and decision-making for both single and multi-drone operations.
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Provides comprehensive situational awareness with AI-assisted analysis.
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Reduces mission preparation and response times, while improving operational safety and efficiency.
AI Companion – Operational AI Support System
AI Companion is an AI-based decision-support system fully integrated with the BBA Ground Control Station (GCS). It provides continuous operational assistance to UAV operators by analyzing mission data before, during, and after flight.The system acts as an intelligent co-pilot, supporting decision-making, risk management, and mission safety across all operational phases.
Pre-Mission Intelligence and Planning
Before a mission begins, AI Companion performs automated analysis to support informed mission preparation:
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Weather Analysis: Evaluates current and forecasted weather conditions that may impact flight safety.
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Risk Assessment: Identifies environmental, operational, and system-related risks in the mission area.
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Route and Scenario Optimization: Recommends optimal flight paths and mission profiles based on terrain, obstacles, and mission objectives.
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Platform and Sensor Validation: Checks UAV health status, payload readiness, and sensor configurations.
This reduces preparation time while increasing mission reliability and safety.
Real-Time Situational Analysis
During flight, AI Companion continuously processes live operational data:
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Telemetry Monitoring: Analyzes position, speed, altitude, battery state, and system health.
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Sensor Fusion: Interprets camera, thermal, LiDAR, and environmental sensor data simultaneously.
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Environmental Awareness: Evaluates dynamic changes such as wind, obstacles, and visibility conditions.
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Operational Context Awareness: Maintains a real-time understanding of mission status and UAV behavior.
Operators receive a clear and continuously updated operational picture.

Alert and Recommendation Mechanism
When anomalies or potential risks are detected, the system responds automatically:
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Automated Alerts: Notifies operators of critical or abnormal conditions.
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Risk Classification: Categorizes alerts by severity and urgency.
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Decision Support: Suggests alternative routes, flight parameters, or mission adjustments.
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Proactive Intervention: Enables early corrective action before risks escalate.
This capability significantly accelerates decision-making, especially in complex and data-intensive missions.
Emergency Response and Safety Actions
In unexpected or critical situations, AI Companion supports autonomous and operator-guided responses:
Failure Detection: Identifies hardware, sensor, or communication failures.
Emergency Procedures: Recommends predefined emergency actions based on mission context.
Autonomous Safeguards: Supports safe landing, mission abort, or controlled return-to-home scenarios.
Human Error Reduction: Ensures consistent and reliable responses during high-stress situations.
Operational Efficiency and Benefits
The integration of AI Companion into the operational workflow provides:
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Reduced operator workload
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Shorter mission planning time
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Early identification of operational risks
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Improved mission control and safety
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Increased reliability in both civilian and military operations
AI Companion serves as a critical intelligence layer that enhances situational awareness, safety, and operational efficiency across all BBA autonomous systems.
AI-Powered LLM System – Intelligent Operator Assistant
The AI-powered Large Language Model (LLM) system developed by BBA is an intelligent digital assistant designed to simplify human–machine interaction in complex autonomous operations.It enables operators, engineers, and technical teams to interact with operational data, mission records, and system documentation using natural language, significantly improving usability and efficiency.

Natural Language Interaction
The system allows users to communicate with the platform using:
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Written commands
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Operational questions
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Instructional requests
The LLM interprets user intent, retrieves relevant information, and provides accurate and context-aware responses. This eliminates the need to manually search through complex interfaces or technical documents.
Access to Operational Data and Documentation
The LLM system can interpret, analyze, and present information from multiple sources, including:
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Mission histories and flight records
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System logs and diagnostic data
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Technical documentation
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Configuration files
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Training and operational manuals
Information is summarized and delivered in a format tailored to the operator’s needs and expertise level.
Analysis and Reporting Support
The LLM-based architecture supports automated analysis and documentation tasks:
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Post-Mission Reporting: Automatically generates structured mission reports.
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Data Summarization: Converts raw telemetry and sensor data into concise operational summaries.
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Technical Translation: Transforms complex technical analyses into clear, human-readable explanations.
This capability accelerates reporting workflows and reduces the administrative burden on operational teams.
Training and Operator Support
For training and onboarding purposes, the system provides:
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Step-by-step guidance for system usage
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Context-aware explanations of software functions
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Interactive question-and-answer support
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Standardized training content delivery
This helps reduce training time, minimize operator errors, and ensure consistent system usage across teams.
Operational Advantages
The AI-powered LLM system delivers significant benefits:
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Simplifies interaction with complex systems
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Reduces cognitive load on operators
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Enables faster access to critical information
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Improves reporting and documentation efficiency
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Enhances overall user experience
By acting as an intelligent interface between humans and autonomous systems, the LLM system increases operational effectiveness across both civilian and defense applications.
GNSS-Denied Navigation Architecture
The navigation system determines the UAV’s position and motion using environment-based perception and sensor fusion, rather than satellite data.
Core components include:
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Visual sensors (cameras)
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LiDAR-based perception
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Inertial Measurement Units (IMU)
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Advanced sensor fusion algorithms
By continuously interpreting environmental features and motion data, the system maintains accurate localization and stable flight in challenging conditions.
Mission Continuity Without Communication
In addition to GNSS independence, BBA platforms are designed to continue missions safely during temporary communication loss.
Based on predefined mission logic, the UAV can:
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Continue navigation using onboard sensor data
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Maintain stable and safe flight
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Complete the assigned mission, or
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Execute an autonomous landing at a predefined safe location
This ensures operational continuity in critical and high-risk missions.
Operation Without GPS
BBA systems are capable of operating in:
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Indoor environments
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Tunnels, warehouses, and hangars
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Dense urban areas
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Areas with GNSS interference or jamming
This capability enables reliable flight where conventional GNSS-dependent systems fail.
Autonomous Decision Logic
The navigation system continuously evaluates:
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Environmental conditions
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UAV state and system health
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Mission objectives and constraints
Based on this evaluation, it dynamically adapts flight behavior to maintain safety and mission effectiveness without requiring operator intervention.
Operational Use Cases
This capability provides major advantages in:
Industrial Facility Inspection: Safe navigation inside power plants, factories, and enclosed production areas.
Indoor and Confined Spaces: Stable flight in tunnels, warehouses, and hangars.
Urban Operations: Reliable performance in areas with signal obstruction from buildings.
Security and Patrol Missions: Mission continuity during GNSS jamming or communication disruption.
Operational Advantages
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Mission continuity under GNSS and communication loss
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Reduced dependency on operator intervention
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Increased safety in complex environments
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Reliable performance in high-security and high-risk missions
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Uninterrupted data collection
A Rare Capability on a Global Scale
Systems capable of maintaining autonomous flight without GNSS and continuing missions during communication loss are developed by only a limited number of companies worldwide.Through deep software–hardware integration and advanced sensor fusion, BBA delivers resilient, mission-continuous autonomous flight systems for both civilian and military applications.

Collision Avoidance
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Environmental Awareness System
BBA’s collision avoidance and environmental awareness system enables UAVs to detect, assess, and avoid obstacles in real time.The system operates fully autonomously, ensuring safe flight in complex, confined, and low-visibility environments without relying on continuous operator input.
Sensor-Based Environmental Perception
The system continuously analyzes data from multiple onboard sensors, including:
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LiDAR
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Visual cameras
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Depth and proximity sensors
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Environmental awareness inputs
These sensors create a real-time representation of the surrounding environment, allowing the UAV to understand spatial constraints and dynamic obstacles.
Real-Time Obstacle Detection and Risk Assessment
Using AI-supported perception algorithms, the system performs:
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Obstacle detection: Identification of static and moving objects.
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Distance calculation: Precise measurement of object proximity.
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Risk evaluation: Continuous assessment of collision probability based on flight dynamics.
Each detected object is evaluated within the context of the current mission and flight state.
Autonomous Path Adjustment
When a potential collision risk is identified, the system:
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Automatically adjusts the UAV’s flight path
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Modifies speed, altitude, or heading as required
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Maintains mission objectives while prioritizing safety
These corrections are executed without operator intervention, ensuring immediate response to environmental changes.
Operation in Challenging Conditions
The collision avoidance system is designed to function effectively in:
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Narrow and confined spaces
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Indoor environments
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Dense urban areas
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Night operations
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Low-visibility or degraded visual conditions
This enables safe autonomous operation where manual piloting or basic obstacle avoidance systems are insufficient.
Operational Benefits
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Minimized collision risk
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Increased platform and payload safety
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Reduced reliance on operator reaction time
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Improved mission continuity
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Lower probability of mission aborts
What Makes BBA Different?
While many platforms rely on basic or operator-assisted obstacle avoidance, BBA provides fully autonomous, AI-driven collision avoidance tightly integrated with GNSS-denied navigation and mission logic.
This level of integration is critical for reliable operation in environments where both GNSS and communication links may be unavailable or degraded.
3D Scanning & Mapping Capability
BBA’s 3D scanning and mapping capability enables UAVs to generate high-precision three-dimensional digital models of their environment using integrated sensor systems and AI-enabled processing.The system supports the creation of accurate spatial representations for inspection, analysis, planning, and decision-making.
High-Precision Data Acquisition
The 3D scanning system combines data from:
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LiDAR sensors
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Visual cameras
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Inertial sensors
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Environmental awareness systems
These data sources are synchronized and processed to capture detailed spatial information with high accuracy and consistency.
AI-Enabled Adaptive Scanning
BBA’s software dynamically adapts scanning behavior based on environmental complexity and mission objectives:
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Adjusts scan density in critical areas
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Optimizes flight paths for coverage and accuracy
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Maintains stable data collection in confined or GNSS-denied environments
This adaptive approach ensures efficient scanning without compromising data quality.

Digital Twin Generation
The system enables the creation of high-resolution digital twins, providing detailed three-dimensional representations of:
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Buildings and facilities
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Terrain and infrastructure
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Indoor spaces
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Critical assets
These models can be used for inspection, planning, simulation, and long-term asset monitoring.
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Operational Use Cases
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Industrial facility and infrastructure inspection
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Warehouse, factory, and indoor space mapping
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Post-disaster damage assessment
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Search-and-rescue environment analysis
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Asset digitalization and documentation
Operational Benefits
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Reduced need for manual measurements
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No human entry into hazardous environments
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Faster planning and inspection processes
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Improved accuracy for engineering and operational decisions
Computer Vision, Tracking & Thermal Analysis
BBA’s computer vision and data analysis software enables UAVs to extract actionable intelligence from visual and thermal sensor data in real time.Advanced algorithms process imagery and sensor outputs to support tracking, detection, and environmental analysis across a wide range of operational scenarios.
Visual Data Processing
The system continuously processes data from:
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Electro-optical (EO) cameras
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Thermal (IR) cameras
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Multi-spectral sensors
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Environmental data sources
Real-time processing ensures that critical information is available to operators without delay.


Object Detection and Tracking
Computer vision algorithms are designed to identify and track both moving and stationary targets, including:
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Humans
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Vehicles
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Animals
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Defined objects of interest
Tracked targets are continuously monitored, enabling persistent situational awareness and mission continuity.
Target and Movement Analysis
The system supports:
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Movement detection and trajectory analysis
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Region-of-interest monitoring
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Behavior pattern recognition
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Change detection over time
This enables early identification of abnormal or critical activity within the operational area.


Thermal Measurement and Analysis
Thermal data is analyzed to detect temperature differences and anomalies that may indicate:
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Equipment faults
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Energy losses
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Fire risks
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Human or animal presence in low-visibility conditions
Thermal measurements are visualized and correlated with spatial and temporal data for accurate interpretation.
Operational Application Areas
These capabilities are applied in:
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Security and area surveillance
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Search and rescue operations
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Infrastructure and facility inspection
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Energy facility monitoring
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Environmental observation and assessment
Operational Benefits
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Enhanced situational awareness
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Early risk and anomaly detection
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Faster and more informed decision-making
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Reduced operator workload
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Improved mission effectiveness






