AI-based video analytics: Filter annoying false alarms

AI-based video analytics Filter annoying false alarms

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Canada has more than a billion CCTV cameras, leading to an overwhelming number of false alarms due to their limited capacity for storage and processing.

These traditional cameras can’t learn or adapt to reduce these inaccuracies.

The solution? Implementing video analytics technology.

This technology filters movements based on size and speed, ignoring harmless critters like birds and spiders. But it gets better!

AI-powered video analytics uses sophisticated techniques to analyze video footage, accurately identifying objects, people, and activities. This translates to one crucial thing: fewer false alarms!

Interested? Read our blog to discover how AI-based video analytics eliminates annoying false alarms and protects your business from real security threats.

First, let’s find out what are AI-based video analytics.

What are AI-based video analytics?

Camera detects face detection through Ai based video analytics system.

Think of it as a super-smart system that goes beyond basic motion detection. It uses artificial intelligence to learn and distinguish real threats from irrelevant movements.

Artificial intelligence can distinguish, differentiate, and identify between human and non-human shapes. The false alarms are reduced by disregarding routine or non-threatening actions, or things.

For example, unauthorized entry after hours or equipment movement outside designated areas can be flagged for potential security breaches.

What is a false alarm filter?

A false alarm filter is a software program or hardware device integrated into a security system

It analyzes camera signals to differentiate between actual threats and triggers caused by irrelevant movement or environmental changes. 

It helps reduce the number of unnecessary alerts sent to security personnel.

But the power doesn’t stop there

Swift Detection: AI algorithms analyze camera footage in real-time, enabling them to detect security breaches with lightning speed. This allows for quicker response times and potentially prevents incidents from escalating.

Expanded Range: AI goes beyond basic motion detection. Advanced video analytics can detect smoke, masked individuals, suspicious behavior of concealing eatables inside a hoodie, and much more! 

What are false alarm filtering techniques?

Here are some standard filtering techniques:

Size and motion analysis: 

Filters can ignore objects below a certain size (e.g., small animals) or movement patterns inconsistent with human activity.

Pet detection: 

Using image recognition or heat signature analysis, advanced filters can distinguish between pets and humans.

Zone activation: 

Specific areas within the camera’s view can be designated as trigger zones, reducing alerts from irrelevant movement outside those zones.

Preventing False Alarms with Security Cameras:

Dome camera surveillance a busy mall.

Simply installing CCTV security cameras isn’t enough. By carefully planning their placement, you can create a comprehensive security system that covers all critical areas.

This might include entry and exit points, high-traffic zones, vulnerable storage areas, and secluded corners.

Expanding your reach with IP PTZ  camera.

An ideal choice for maximizing your security coverage is an IP pan-tilt-zoom (PTZ) camera. These cameras offer several advantages:

Greater Coverage: PTZ cameras can rotate horizontally, tilt vertically, and zoom in on specific areas, providing a wider field of view and the ability to focus on details when needed.

Infrared Illumination: PTZ cameras with infrared illumination ensure clear visibility even in darkness for nighttime or low-light situations. This allows for uninterrupted security monitoring around the clock.

How can IP camera video analytics and AI reduce false alarms?

When you layer these strategically placed cameras with advanced AI (Artificial Intelligence) solutions, you unlock a whole new level of security. 

Here we have discussed a few:

Object detection: 

AI can detect individuals attempting to enter secured restricted areas. The system accurately detects objects in challenging settings like moving backgrounds or camera shakes.

The accuracy of real-time video analytics is refined further because it detects objects and tracks their movement over time

Example:

A person simply walking through the site might trigger an initial detection, but the lack of suspicious movement after that could minimize the need for immediate human intervention.  

However, if the tracking shows the person lingering near equipment or attempting to tamper with a storage unit, the system can escalate the alert, prompting a more urgent response from the security operations center where alarms are sent in case of threat or abnormal activity detection.

This reduces false alarms triggered by people simply walking past the site and focuses on situations with a higher likelihood of actual theft attempts.

Smoke and Fire: 

Advanced AI can detect smoke and flames in their early stages, allowing for faster intervention and potentially saving lives.

Smoke and fire detection AI uses real-world data to differentiate between harmless dust, steam, headlights, and real fire smoke. It analyzes:

Smoke Movement: Fire smoke has a distinct, wispy rise.

Color & Temperature: Fire smoke often has a reddish/yellowish tinge and localized heat.

Location Context: Smoke near a stove is less concerning than smoke near an electrical panel.

Example: 

A forklift kicks up dust while moving materials. The smoke and fire detector recognizes the dust cloud’s movement patterns and filters it out as harmless, thanks to context (a moving forklift) and a vast training dataset.

A faulty electrical panel sparks, and the AI detects the wispy smoke, rising density, and high-risk location (electrical panel), triggering a fire alert for immediate intervention.

Masked Individuals: 

Mask detection Ai camera works and detect theif.

Mask detection AI can identify masked individuals, helping to deter robberies and other crimes.

When an AI-powered security camera, programmed to detect masked individuals, identifies one entering a designated area or business, it triggers an alert to a remote monitoring center.

Here, trained operators assess the footage and respond according to the situation, following the client’s established protocols for handling such incidents.

Additionally, within a pandemic context, the AI system can be configured to identify individuals who are not wearing masks, aiding in the enforcement of public health guidelines.

Shoplifting AI: 

AI can analyze video feeds and recognize suspicious shoplifting behavior, enabling an immediate response to theft.

Unlike facial recognition, shoplifting detection AI prioritizes privacy. Its AI identifies suspicious gestures, like hiding items in pockets or bags, not the person’s identity.

Example:

This system focuses on suspicious behavior like hiding items, filling strollers, or concealing items in clothing – all while smartly ignoring normal shopping actions like picking up, examining, or returning items to the shelf.

Several strategies can minimize false alarms from your security cameras:

Proper placement: 

Mount cameras strategically to avoid capturing irrelevant movement from swaying trees, street traffic, or shadows.

Adjust sensitivity: 

Set the sensitivity level to focus on areas of interest and avoid triggering alarms for minor changes.

Disable motion detection in high-traffic areas. If your camera overlooks a busy sidewalk or road, disable motion detection in that zone.

Benefits of AI-based video analytics:

Ai based video analytics detects people and annoying activities.

Reduced False Alarms: 

AI filters out irrelevant movement like birds or swaying trees, significantly reducing false alarms that plague traditional video surveillance.

Improved Accuracy: 

By identifying specific objects and activities, AI provides more accurate alerts, allowing security personnel to focus on real threats.

Faster Response Times: 

Real-time analysis allows for quick alerts during important events, leading to swifter action and possibly stopping situations from getting worse.

Predictive Analytics: 

AI can examine past data and spot trends to foresee possible security issues in some sophisticated systems. This allows for taking security steps ahead of time to prevent incidents.

Conclusion:

Say goodbye to the annoying false alarms! AI-based video analytics is here to revolutionize your security system.

This intelligent technology uses artificial intelligence to analyze camera footage. It differentiates between harmless movements like swaying trees and real security threats. 

This smarter filtering allows you to focus on what truly matters, minimizing wasted resources and ensuring a faster response to security breaches. 

Even with advanced AI, human judgment is crucial. Discover the full potential of your advanced video analytics cameras.

By connecting them to a top-notch remote video monitoring center, you gain the advantage of highly skilled operators who can intervene directly and resolve security breaches efficiently. 

Our operators follow your established SOPs to ensure a tailored response. Don’t wait – contact us today for a customized security solution that empowers your business!

Don't compromise on safety.

Sirix provides robust live remote monitoring to ensure your business and belongings are secure. Reach out now!

 

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