Security and surveillance

Use cases

Weapon detection

Develop functional AI models for arm detection with our robust data annotation and labeling platform.

Face recognition

Build high-class intercom systems for live buildings, schools, hospitals to allow entrance with face recognition.

Biometrics analysis

Use fingerprints, facial patterns, voice or typing cadence recognition for data security in banks, airports, live buildings, etc.

Pandemic compliance

Equip security cameras with AI-based software to track compliance with health guidelines and detect if people are wearing masks, track handwashing, and even detect coughs.

Person search

Design a computer vision-powered technology to help you find particular people in real-time across surveillance cameras.

Drone surveillance

Enable drone cameras to keep a watchful eye on valued assets and operations in non-static environments and moving backgrounds.

Improving security and surveillance with computer vision

Security and surveillance are by far the most challenging domains that never cease to require innovative solutions. How can computer vision contribute to the transformation of security and surveillance workflows? Here we introduce a couple of examples of how computer vision-powered security systems take the reduction in crime, person detection, and even compliance with COVID-19 regulations to a whole new level.

SuperAnnotate for security

Machine learning completely modernizes the security industry and provides tools to automate lengthy paperwork, minimize data leakage and even detect risky or fraudulent events. Annotation quality is especially critical when it comes to security.

Our robust data annotation workflow with quality management measures and smooth iteration cycles is designed to feed quality data into AI models and get them into production up to 5x faster.

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