The most common applications for AI in security include:
Video surveillance
64% of all network cameras will include AI by 2025. This technology is game-changing for video surveillance as it delivers better object detection, fewer false positives and enhanced image clarity.
ANPR
Even marginal gains in well-established technology such as ANPR can dramatically boost performance. Better accuracy and higher resolution images are improving hit rates and new AI even confirms the object is a vehicle, rather than mistaking a signpost or bollard, before analysing its registration number.
Drones
AI-powered drones can cover extensive areas and process huge amounts of data. Devices can be used simultaneously to map an environment and identify anomalies – all in a matter of minutes.
Applied Aeronautics “Albatross” long range drone has been used on every single continent and has helped with everything from marine life protection to humanitarian aid, for instance. The drone can fly for four hours straight and reach speeds of up to 90 miles per hour.
Access control systems
AI has turbo-charged access point security, with touch-free systems minimising common challenges such as false positives and identity theft. Deep learning – a subset of machine learning – identifies and remembers behavioural patterns, whilst continuously understanding why security breaches happen.
Biometrics & facial recognition
Detailed physical biometrics, such as facial, finger and iris recognition, can be mapped against large data sets. AI also broadens a system’s scope to include behavioural factors (e.g working patterns) to tackle fraud, identity theft and security risk.