IoT Security Data Annotator
Organized and labeled unstructured video and sensor data from IoT security systems for training searchable AI databases. Developed and applied a custom tagging schema for IoT device behavior to improve detection of unauthorized network access. Integrated real-time data streams into labeled datasets supporting machine learning for security monitoring. • Tagged surveillance videos for pattern analysis. • Modeled IoT behaviors with structured labels. • Enhanced unauthorized access detection via annotation. • Supported automated monitoring by preparing labeled video datasets.