Monitoring Broken Glass Events With Surveillance Camera Analytics

Surveillance cameras have a crucial job to do—they help monitor your business and provide evidence for events on your property.

However, surveillance cameras aren’t without their limitations. If you haven’t yet tapped into audio capabilities with your cameras, you could be missing out on important information your surveillance cameras can provide.

Noise analytics software is on the rise with 40% of existing systems in the United States already implementing this technology and 42% of businesses saying they want to get on board [1]. Audio analytics can identify sounds such as car alarms, breaking glass, and raised voices that could indicate a threat.

Here’s how monitoring broken glass events can boost your security with surveillance camera analytics.

Audio Analytics Can Recognize All Types of Breaking Glass

Most modern surveillance camera units already have built-in audio technology. This software analyzes sound inside the unit, and has the ability to recognize breaking glass and send out an alert for your team to investigate where and when the sound was identified.

Whether your building has single-pane glass, double-pane glass, laminated glass, or tempered glass, the system recognizes all types of breaking glass noises [2]. Broken glass could indicate entry or attempted entry by an unauthorized individual or just damage that needs attention before it creates a security concern.

Audio analytics can support the security objectives of businesses across industries that may not have the budget or staff to constantly monitor cameras to identify intruders or threats.

Stay in Compliance by Tuning Out Background Noise

Each state has its own laws regarding audio recording of individuals in both private and public spaces. With audio analytics, you can stay in compliance with state wiretapping law while still effectively monitoring for sounds that could indicate threats such as broken glass.

Audio analytics software tunes out background noise such as conversations, traffic, and music. The software is programmed to only record specific sound patterns. This means you can use the analytics even in loud or hectic workplaces, such as public transportation or detention centers, to monitor for threatening sounds.

Since the camera doesn’t actually record every sound it hears, just the sounds it’s been programmed to identify, you stay in compliance with state recording laws.

Respond to Incidents Before They Escalate

With audio analytics to identify breaking glass, you give your security team a chance to respond to incidents before they escalate. For example, if your cameras recorded glass breaking, but no one saw it, an intruder could easily enter, or the glass could stay broken for hours on end before someone noticed.

Audio analytics also prevent the need for motion detectors for cameras to record evidence and instead use technology you already have implemented to heighten security and efficiency. Breaking glass audio analytics provides the information you need to verify threats and use as evidence [3].

By the time the glass has been broken, the threat is already there. With real-time notification to your team, you can address the issue as soon as possible for lower liability and improved safety.

Have You Tapped the Power of Audio Analytics?

If you haven’t leveraged the power of audio analytics yet, it’s time to find out how your existing surveillance system may be able to support your business by monitoring for threatening sounds. Contact Surveillance Secure today to learn more about audio analytics for your security at (877) 388-1248!

Sources:

  1. https://www.securitymagazine.com/articles/95019-us-firms-repurposing-their-existing-video-monitoring-systems-to-support-return-to-the-workplace
  2. https://www.axis.com/blog/secure-insights/audio-analytics-ip-cameras/
  3. https://www.securityinfowatch.com/alarms-monitoring/alarm-systems-intrusion-detection/sensors-detectors-audio-based/article/12407038/audio-emerges-as-key-element-to-sophisticated-security-systems

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