Burglary Detection through Video Analytics
This is interesting:
Some of the scenarios where we have installed video analytics for our clients include:
- to detect someone walking in an area of their yard (veering off of the main path) that they are not supposed to be;
- to send an alarm if someone is standing too close to the front of a store window/front door after hours;
- to alert security guards about someone in a parkade during specific hours;
- to count the number of people coming into (and out of) a store during the day;
In the case of burglary prevention, getting an early warning about someone trespassing makes a huge difference for our response teams. Now, rather than waiting for a detector in the house to trip, we can receive an alarm signal while a potential burglar is still outside.
Effectiveness is going to be a question of limiting false positives.
Dinah • July 14, 2010 1:13 PM
Great idea but you’re spot on RE false positives. I can’t think of the problem of false positive without thinking of car alarms. Car alarms are one of the pieces of everyday tech I despise the most. It combines the abrasive attributes that make alarms effective with what feels like 100% false positives. I’ve never actually seen anyone hear a car alarm and react as though they thought their car was being broken in to.