The central station alarm industry's recurring monthly nightware (RMN) is when google figures out how devices could make the monitoring station unnecessary. There is a new association called PPVAR (Partners for Priority Video Alarm Response) that is trying to figure out a standard for how monitoring stations can filter out the 98% false alarms currently sent to law enforcement using video verification. The association includes members from law enforcement, insurance, central stations, and manufacturers.
Google Plans Crowdsourced Video Alerts
Google wants to leverage its massive load of video uploads to determine if crimes, terrorist events or disasters are unfolding. Recent patent applications from Google show that the company is developing plans to leverage analysis of those videos into an alerting system. In this note, we examine the details of those plans.
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I think this will be the problem that google will not have a solution for some time. The google article suggests a different approach to the issue of sending notifications to law enforcement.
Option 1 - Use devices: analytics, camera, trigger device (motion detector, door contact) -> human at CS to exercise judgement and call LE.
Option 2 - human collects video and uploads -> computer analyzes GPS, time interval, event counter to exercise judgement (algorithm) and notify LE. Downside is event counter would be too high to be effective for typical b and e and the delayed response is a big factor.
Both require some human intervention Option 1 at the end, Option 2 at the beginning. You would think that Option 1 would be easy, however, there is a lot of push back from monitoring stations wanting to have operators exercise little judgement on video clips - trying to stick with the old paradigm of legacy alarms and dispatch on almost everything.
Call the cops! There's a frat boy lighting his flatulance and/or a boy band walking into a building!