Adam Bannister

Editor, IFSEC Global

Author Bio ▼

Adam Bannister is editor of IFSEC Global. A former managing editor at Dynamis Online Media Group, he has been at the helm of the UK's leading fire and security publication since 2014.
December 7, 2017

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The Intruder Alarm Report 2020

product launch

Calipsa’s remote monitoring platform slashes false security alarms by 50%, trials show

Calipsa claims that its latest monitoring platform can cut the number of false security alarms in half.

Providing real-time analytics to alarm receiving centres (ARCs) the platform uses deep learning models developed by machine learning and artificial intelligence experts.

The claim that it slashes false alarms by 50% is based on customer trials.

False alarms, which are damaging to productivity as well as a nuisance, can be triggered by staff on site when a system is still armed, by environmental factors and even insects landing on the camera.

Features

  • Software intercepts and vets false alarms, verifying their legitimacy within seconds and passing only genuine alarms to monitoring station operators
  • Algorithms can quickly process and analyse video feeds to detect humans, vehicles or animals at the scene in real time
  • Calipsa engine uses a form of artificial intelligence (AI) known as deep learning that continuously evolves and improves over time.
  • Compatible with any existing IP camera or video source
  • technology can be deployed quickly via the cloud with no upfront investment.

Calipsa says

“Security cameras by their nature are sensitive and are often falsely triggered by pretty much anything from spiders to trees blowing in the wind,” explains Anthony Fulgoni, Sales Director at Calipsa.

“Apart from human operators deciding the validity of an alarm, the current state of the art is either anti-dither settings, which allow you to set the length of the motion to be detected, and masking, which allows you to ignore certain parts of the camera view.

“But both of these solutions are archaic, but are still deployed even in modern day alarm receiving centres. They lack the capabilities to take into account a wide range of factors, mostly environmental.”

About Calipsa

Founded in 2016 by machine learning and AI experts, Mohammad Rashid Khan and Boris Ploix, Calipsa comprises expertise from universities including Cambridge, Imperial College London and UCL. The startup has raised funding round from a number of well-respected VCs, including LocalGlobe, Horizons Ventures and Entrepreneur First – which have backed some of the biggest companies in the world. Calipsa is working with customers in the UK, France and India and is also seeking strategic partners to take its technology to the market.

Founded in 2016, Calipsa has developed a machine learning (AI) based software platform that automates the analysis, enumeration and reporting of video footage. The core engine is adaptable to support real time CCTV video monitoring. Video material is meta-tagged for classification and analysis allowing users to output an audit report and annotated video to support statistical reporting.

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