Image annotation and data
processing données for
the defense and security sector
Reliable datasets for artificial intelligence applied to surveillance, recognition, object detection, and multi-sensor tactical situation analysis.
What we do
A team of data and computer vision experts specializing in defense and security
We support R&D, intelligence, and embedded systems teams in creating reliable datasets for defense and security AI applications.
Rigorous and Controlled Process
Each project follows a rigorous and proven methodology, from designing the annotation protocol to defining the data sensitivity levels.
The process relies on secure iterations, continuous validation, and multi-layer quality control, ensuring accuracy, traceability, and confidentiality at every step.
Our quality experts conduct ongoing audits, using performance indicators, error rates, and inter-annotator consistency metrics to guarantee the reliability, reproducibility, and robustness of the delivered datasets.
Security and ISO 27001 Compliance
Our pipelines meet the highest security standards, including data encryption, environment segmentation and isolation, and full logging of access and actions.
Sensitive data is handled in compliance with ISO 27001 and GDPR frameworks, as well as your own confidentiality protocols.
We can also operate directly within your environments (infrastructure or client platforms) to ensure that data never leaves your systems.
Multi-Sensor Annotation
Our teams define and apply detailed class ontologies tailored to land, air, and maritime environments, enabling the identification and classification of friendly and enemy objects.
We perform multi-sensor and multi-spectral annotations (RGB, IR, SWIR cameras, drones, satellites, radar, LiDAR), including segmentation, tracking, and object indexing.
Data is standardized through domain-specific ontologies. Quality is measured using dedicated metrics, active sampling, and cross-checking between annotators, ensuring the reliability and consistency of AI models.
EXpertise
Annotation and segmentation of data for surveillance, automated recognition, and protection.
At Infoscribe, we combine technological expertise, methodological rigor, and secure tools to produce precise, consistent datasets that comply with industry protocols.
These datasets support embedded vision systems, decision-support tools, and real-time analysis
Image Annotation for AI (Defense Sector)
Recognition and Observation
Detection, classification, and tracking of objects from aerial, ground, or satellite sensors: vehicles, personnel, infrastructure, equipment, and topographical changes.
Sensitive Area Monitoring
Automated video stream analysis for detecting intrusions, abnormal behavior, gatherings, fire outbreaks, or suspicious movements on critical sites.
Geospatial Intelligence (GEOINT)
Annotation of satellite and drone imagery for mapping, change detection, and segmentation of complex environments: urban areas, forests, deserts, and port zones
Military and Logistics Object Detection
Identification and classification of equipment (armored vehicles, aircraft, ships, logistical infrastructure) with geometric and semantic precision.
Tactical Video Analysis
Multi-object tracking in video sequences, behavioral analysis, anomaly detection, and prediction of tactical events from sequential data.
AI Model Simulation and Validation
Annotation of synthetic data from simulated environments (AI training, testing detection algorithms, multi-sensor fusion prior to operational deployment).
Predictive Maintenance and Inspection
Detection of defects on equipment, infrastructure, or military vehicles (wear, corrosion, impact, structural failure), enabling automated preventive maintenance.
Cybersecurity and Visual Analysis
Annotation of interfaces, screen flows, and visual logs for automated detection of anomalies or intrusions in critical systems.
AI-Assisted Training and Instruction
Annotation and structuring of data from simulators or real exercises to train armed forces, analyze behaviors and decisions, and enhance tactical and operational readiness.
Derived and Specialized Annotations
Depth maps, optical flow, lane mapping, anomaly detection, multi-sensor calibration, and panoptic fusion for comprehensive understanding of complex military scenes
Temporal – Video Sequences
Multi-object tracking, re-identification, long-term tracking, and event labeling for behavioral analysis and threat detection in dynamic environments.
Text Annotation for AI – Defense and Security Sector
NER (Named Entity Recognition)
Identification and annotation of actors, units, strategic locations, equipment, and organizations. This method enables AI to automatically extract key elements from complex reports and communications.
Multi-Class Classification
Automatic categorization of documents by type — tactical, logistical, intelligence, cyber, or administrative — to optimize prioritization, thematic analysis, and controlled dissemination of sensitive information.
Linguistic Annotation
Part-of-speech (POS) tagging and morpho-syntactic analysis of specialized texts. These annotations enable fine-grained language understanding and optimize the performance of natural language processing (NLP) models.
Ethical Anonymization
Masking, pseudonymization, or removal of sensitive entities (agents, sites, devices). Annotation ensures confidentiality, regulatory compliance, and protection of classified information in textual data flows.
Relation Extraction
Annotation of links between entities. This relational structuring allows AI to map actor networks, anticipate operational dynamics, and support situational analysis.
Event Detection and Timelines
Tagging of key events (movements, cyber incidents, communication breakdowns) and their dates. Chronological annotation facilitates scenario reconstruction, multi-source correlation, and early warning
Annotation-Assisted Summarization
Annotation of critical segments (objectives, risks, decisions, outcomes) to guide automatic summarization algorithms. This enables the rapid production of operational summaries for field analysts.
Terminology Standardization
Annotation and harmonization of specialized terminology (acronyms, codes, jargon) according to reference glossaries and doctrines. This standardization improves system interoperability, analytical consistency, and AI model reliability.
Autres Secteurs d'activité
FAQ
Frequently Asked Questions
Infoscribe applies strict security and confidentiality standards, particularly suited for handling sensitive data such as that in the defense sector. The company follows a structured approach based on three main pillars: access control, secure storage, and controlled clearance management.
1. Strict Access Control
Data access is restricted to authorized personnel only, following the principle of least privilege. Measures include:
- secure individual identities,
- strong authentication,
- project-segmented access,
- prevention of copying or exporting data outside the secure environment.
All actions are logged to ensure full traceability.
2. Secure and Isolated Storage
Data is hosted on servers compliant with European standards and protected through:
- encryption at rest and in transit,
- isolated environments for each client,
- secure backups,
- continuous infrastructure auditing and monitoring.
No unauthorized external access is possible, and data never leaves controlled environments.
3. Controlled Clearance and Confidentiality Management
Infoscribe can deploy carefully selected, trained, and monitored teams to work on sensitive data. Depending on the project:
- personnel may undergo background checks,
- reinforced NDAs are systematically signed,
- access can be limited to a small, restricted group,
- a digital cleanroom or confined environment can be configured if necessary.
4. Regulatory Compliance and Defense Best Practices
The company applies enhanced GDPR requirements and can comply with specific directives from public, military, or institutional organizations. Processes are fully documented, traceable, and auditable.
In summary, Infoscribe guarantees a high level of security, confidentiality, and control, tailored for handling sensitive or classified data, and can adapt its measures to the required defense project standards.
Yes, Infoscribe provides a full range of complementary services tailored to the high requirements of the defense sector, including anonymization, encryption, segmentation, indexing, and metadata structuring. To ensure the security of sensitive or strategic data, strict processes are implemented in line with standards expected by public, military, and institutional actors.
Anonymization is a core component: Infoscribe can remove, mask, or pseudonymize any information that could identify individuals, locations, or equipment, in compliance with regulatory requirements and the confidentiality needs of defense projects. Data can also be encrypted at every stage, both at rest and in transit, using secure protocols to prevent unauthorized access.
Beyond data protection, Infoscribe offers advanced segmentation and indexing services, structuring large volumes of information such as technical documents, aerial imagery, surveillance videos, 3D point clouds, or digitized archives. These operations facilitate analysis, sorting, search, and subsequent exploitation in operational or decision-making environments.
Metadata structuring is another essential aspect. Infoscribe organizes, enriches, and normalizes metadata to ensure consistency across management systems—whether cataloging sensitive documents, preparing datasets for AI, or creating knowledge bases for advanced data fusion tools.
All of these services are designed to meet the specific demands of the defense sector, which requires precision, traceability, robustness, and enhanced security. With this expertise, Infoscribe delivers a complete, reliable solution for handling sensitive data while adhering to the strictest standards.
Infoscribe implements strict protocols for traceability, access control, and internal auditing when processing defense-related data, ensuring a security level that meets the requirements of sensitive environments.
Complete Traceability of Operations
Every action on the data is logged in a secure journal, including:- user identification,
- access timestamp,
- type of operation performed (read, modification, export),
- validations or reviews carried out.
This traceability provides full visibility of the data lifecycle and allows rapid detection of anomalies or unauthorized access.
Strict and Hierarchical Access Control
Access to defense data is restricted to a limited number of authorized personnel. Infoscribe applies the principle of least privilege, meaning each user can access only the data and tools necessary for their tasks. Measures include:- enhanced authentication (MFA),
- environment segmentation by project,
- strictly controlled read/write access,
- prohibition of unauthorized copying or exporting,
- encrypted data exchanges in transit and at rest.
Internal Audits and Continuous Supervision
Infoscribe conducts regular audits to ensure operations comply with internal protocols and defense sector requirements. Audits cover:- consistency of access logs,
- compliance with security processes,
- identity and clearance management,
- updating procedures based on detected risks.
Automatic monitoring also detects unusual activity or non-compliant behavior, enabling a rapid and documented response.
Through these measures, Infoscribe guarantees a highly secure, traceable, and auditable environment tailored to sensitive defense data.
Infoscribe can handle a wide range of data for the defense sector, covering operational, technical, geospatial, and documentary data. Leveraging its expertise in processing, annotation, structuring, and securing sensitive data, the company effectively supports projects in complex environments with high security requirements.
Key data types include visual data, such as aerial imagery, satellite photographs, reconnaissance videos, drone feeds, and images captured by optical or thermal sensors. These can be annotated to identify objects, map areas, analyze infrastructure, or detect threats. Infoscribe also manages 3D data, including LiDAR point clouds from terrestrial or aerial scans, used for modeling, surveillance, or autonomous navigation. These volumetric datasets can be segmented, classified, or enriched to facilitate analysis.
Textual data is also processed, including military archives, operational reports, historical documents, intelligence notes, technical communications, and document databases. These can be indexed, extracted, annotated, or structured for efficient use in decision-support systems. Technical data, such as sensor logs, equipment telemetry, embedded data, tactical metadata, or simulation outputs, can be cleaned, organized, and prepared as needed.
Finally, Infoscribe handles multimodal data, combining imagery, sensor readings, documents, and geolocation—essential for data fusion in defense contexts. This versatility supports a broad range of use cases, including field analysis, surveillance, reconnaissance, sensitive documentation, and the preparation of AI-ready datasets for defense applications.