Video processing – definition
Video processing is the set of digital operations performed on video files to analyze, enhance, modify or secure them, including face and license plate anonymization, object detection, and image quality improvement. It plays a key role in privacy protection and compliance with GDPR, implemented through on-premise systems or AI-powered platforms.
Tools used in video processing
Tools include anonymization software, face and object detection systems, AI-powered analysis platforms and editing applications. These may run locally or remotely on cloud servers handling large volumes of video efficiently.
Benefits of video processing
Allows privacy-safe handling of large video datasets, supports automated event detection, and ensures regulatory compliance regarding personal data when sharing and archiving content.
Risks of video processing
Risks involve detection errors leading to privacy breaches, unauthorized data access, and high resource demand requiring strong IT security.
Examples of using video processing
Security firms automatically anonymize faces and vehicle plates in city surveillance video before sharing footage with law enforcement. Another example is the anonymization of recordings taken on streets and roads, which will then be used to train AI models used in autonomous vehicles and driver assistance systems.