Scalable deep learning video analytics

A system comprising:

• one or more processors;
• and
• a non-transitory memory comprising instructions that when executed cause the one or more processors to perform operations comprising:
• receive training data, the training data including training video data representing video of a location in a quiescent state;
• train a neural network using the training data to obtain a plurality of metrics;
• receive current data, the current data including current video data representing video of the location at a current time period;
• generate a reconstruction error based on the plurality of metrics and the current video data;
• and
• generate, in response to determining that the reconstruction error is greater than a threshold, a notification indicative of the location being in a non-quiescent state.