This dataset is used for recognizing theft behavior in the commercial retail environment, suitable for the security industry.

This dataset is used to identify whether workers are wearing helmets and if they are wearing them correctly, supporting intelligent monitoring and safety management in the security field.

The Device Operation Abnormal Alarm Audio Detection Dataset focuses on the field of safety protection audio, enhancing the precision and responsiveness of alarm systems.

The Robbery and Coercion Action Recognition Dataset aims to help the security industry improve its ability to detect violent behavior.

This dataset focuses on the automatic recognition of fighting and brawling behaviors to enhance security surveillance efficiency.

This dataset is dedicated to recognizing sudden falls of the elderly in non-exercise situations, applicable to various scenarios.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

This dataset focuses on the recognition of actions blocking the camera to enhance the intelligence level of security surveillance.

This dataset is used to identify suspicious repeated glancing actions in surveillance scenes to enhance security monitoring effectiveness.

The cleanroom personnel dress code compliance detection dataset is used to identify and improve personnel dress compliance in cleanroom environments.

A video dataset focused on action recognition of infants approaching dangerous areas.

This dataset aims to recognize the usage of safety belts by workers during high-altitude operations.

The stairwell public passage occupancy image recognition dataset is used to enhance object detection capabilities in safety protection scenarios.