Train computer vision security systems on accurately labeled video and images, annotated by trained teams in certified, access-controlled environments.
Annotera provides security and surveillance annotation that helps computer vision systems detect, track and respond to threats. We label CCTV and body-camera video, still images, and thermal and low-light footage for use cases from crowd density and perimeter intrusion to weapon detection and traffic monitoring.
Every program runs in secure, access-controlled environments under Fusion CX’s ISO/IEC 27001:2022 and SOC 2 Type II certified controls, with three-layer QA against a gold set agreed with your team. As a result, security providers and enterprises get training data that holds up in real-world conditions, starting with a free 48-hour pilot on their own footage.
Computer vision in security systems depends on accurate labels for people, objects and behavior. These are the computer vision security applications we support most often.
Identify and track groups of people to ensure public safety. Moreover, AI models gain better insight into crowd behavior and density.
Annotate facial features for precise identity verification and monitoring. As a result, surveillance systems achieve higher accuracy in real-time detection.
Train AI to recognize firearms, knives, and other dangerous objects. Therefore, potential threats can be identified quickly and prevented effectively.
Annotate vehicles, signals, and lanes for smarter traffic management. In addition, this improves safety and flow in complex traffic environments.
Detect unusual movement or behavior patterns in surveillance footage. Consequently, AI can issue timely alerts for proactive threat response.
Enhance AI performance in infrared and low-light surveillance. Furthermore, this ensures reliable detection accuracy around the clock.
Annotate datasets for AI-driven authentication and entry monitoring. As a result, secure environments maintain stricter identity verification.
Support security cameras in detecting intrusions and breaches. In addition, this strengthens overall facility protection and response time.
Annotera delivers secure, scalable annotation for surveillance AI, with trained teams, documented quality and certified data protection. As a result, security organizations and enterprises can build intelligent, real-time monitoring solutions that enhance safety and reliability.
Annotators are trained on your guidelines and edge cases before production, then recalibrated as rules evolve. Moreover, dedicated team leads keep standards consistent across shifts.
Three-layer QA scores every batch against a gold set agreed with you. As a result, you get per-class accuracy and agreement reports, not just a headline number.
Test us on your own data before you commit. Therefore, you see real output, scored against your acceptance criteria, before any contract is signed.
40 delivery centers in 13 countries support onshore, nearshore and offshore teams. In addition, multi-timezone coverage keeps time-sensitive projects moving.
Fusion CX has 17,000 people, which gives us room to scale trained teams quickly. Consequently, large video and image programs grow without delays or quality loss.
ISO/IEC 27001:2022, SOC 2 Type II, HITRUST CSF and PCI DSS 4.0.1 certified controls, with strict access rules and encryption. Furthermore, sensitive data stays protected end to end.
Here are answers to the most common questions about data annotation for security and surveillance applications.
Data Annotation for Security and surveillance involves labeling video, audio, or image data so AI systems can detect threats, track activity, and identify people or objects. Moreover, these annotations help train AI models for facial recognition, weapon detection, and traffic monitoring. As a result, organizations gain accurate, real-time insights that improve situational awareness, ensure safer operations, and enable smarter decision-making.
AI surveillance systems learn object detection, behavior analysis and threat recognition from annotated data. Without high-quality labels, models misidentify people or miss real risks, and they behave differently in the field than in testing. Precise, consistent labeling, checked against a gold set, keeps performance stable in real-world conditions.
Common applications of AI in surveillance include facial recognition, crowd detection, weapon detection, suspicious activity monitoring, traffic management, and night vision. Moreover, each of these use cases depends on Data Annotation for Security to train models that operate accurately in real-world conditions. In addition, high-quality annotated datasets help AI systems detect, track, and respond to threats more effectively. As a result, Annotera provides scalable annotation outsourcing that ensures precision, reliability, and safety across diverse surveillance applications.
Every project runs in secure, access-controlled environments under Fusion CX’s ISO/IEC 27001:2022 and SOC 2 Type II certified controls, with encryption, role-based access and annotator NDAs. Sensitive material such as facial images and surveillance footage stays within the approved environment for the whole project.
Annotera gives you trained annotators for security and surveillance use cases, three-layer QA with per-class reporting, certified data protection and the scale of Fusion CX’s 40 delivery centers in 13 countries. You can test us first with a free 48-hour pilot on your own footage.
