Authors:
Ty Wu, Leo Lee, Shane Lee
Abstract:
This disclosure proposes a method to detect a robbery occurring in a store by analyzing the situation around the cash drawer.
Background:
We sometimes see the news talking about a robbery happened in a grocery store. The robber asks the shop employee to raise hands, open the cash drawer or the robber damages the cash drawer to get the money.
Sometimes the shop employee can press the alarm button to call the police or security guys for help. Sometimes not.
Nowadays, typically there is a camera with controller is set up at the counter to monitor the situation around the counter.
Description:
A camera with controller is set up at the counter to monitor the situation around the counter.
When shop employee opens the cash drawer, the camera controller will be triggered to run program to analyze the video of the camera captured from specific time slot before the shop employee opens the cash drawer.
We can also have the accelerometer in cash drawer to detect if there is unusual movement of cash drawer. This unusual movement is also treated as a trigger to ask camera controller to run program to analysis the video of the camera captured from specific time slot before the cash drawer unusual movement detected.
The analysis is based on image recognition & big data analysis to judge if there is something strange like someone is robbing the store, or someone is damaging the cash drawer, or the camera view is shadowed.
If the analysis shows that the store is in robbery situation, the controller will send an alarm to police or security center w/ the video for them to judge if there is a real robbery happened.
TGCS Reference 2973
