False Alarm Filtering Case Study – Sentinel Monitoring Ltd

False Alarm Filtering Case Study

Sentinel Monitoring Ltd.

Overview

False alarms are a major challenge for video monitoring centers. An overwhelming number of false positives inevitably cause operator fatigue, lower productivity, increase labor costs, and, in the worst scenario, result in missing a critical event. AI-powered video analytics enables monitoring companies to reduce false positives, allowing security operators to focus on what really matters.

Discover how the Scylla False Alarm Filtering system works for Sentinel Monitoring Ltd., a leading monitoring company in the UK, to reduce the number of false positives by up to 99% and increase the efficiency of their staff.

Sentinel Monitoring Ltd.

Sentinel Monitoring Ltd. is one of the leading providers of a wide range of security services to the public and private sectors across the UK. The company is continually striving to strengthen, develop and manage their operatives, practices and equipment to provide state-of-the-art CCTV remote monitoring to protect their clients.

Challenge

Sentinel Monitoring Ltd. was looking for a solution that would seamlessly integrate with the company’s technological infrastructure, helping them:

provide their clients with seamless and uninterrupted service around the clock,

handle false alarm CCTV activations,

optimize technological and human resources.

Our Solution

Scylla False Alarm Filtering is a robust solution that utilizes computer vision and artificial intelligence to help security units eliminate the overwhelming number of false positives while supporting their daily operations and augmenting their capabilities.

Scylla False Alarm Filtering seamlessly integrates into Sentinel Monitoring Ltd.’s existing video surveillance system.

It enables real-time detection and alerts to validated threats, confirming perimeter intrusion by people and/or vehicles.

It triggers alerts only if the object of interest is detected and rules out false alarms caused by foliage, shadow changes, or an animal, allowing the staff to manage fewer “nuisance” alerts and focus more on real security issues and perimeter intrusions.

It allows for false alarm filtering of up to 99%, which means the human monitoring team focuses their efforts on only 1% of the hundreds of thousands of security threats captured by CCTV cameras, thus reducing the workload on their monitoring operation.

Scylla’s threat detection software is quick, reliable, and cost-effective to scale.

It is a cost-effective solution that assists the company in lowering its operating costs.

Customer testimonial

“Deploying Scylla False Alarm Filtering has been a revelation. Time spent handling false alarms has been slashed, and the positive feedback from the operators confirms this. The support from the team at Scylla is first-class, and I cannot recommend this company enough. The Scylla platform is next level, and Sentinel Monitoring is currently exploring the fire detection solution from Scylla.”