Calipsa, the next generation video surveillance company, has announced a new Monitoring Platform designed to provide real-time analytics to alarm receiving centres (ARCs) and help reduce the high numbers of false security alarms every year. Built on state-of-the-art Deep Learning models by machine learning and artificial intelligence experts, the new platform was shown for the first time at UK Security Expo at Olympia in London (29-30 November).
With figures showing it costs the UK economy hundreds of millions of pounds a year in lost productivity due to false alarms being triggered by staff on site when a system is still armed, environmental issues and even insects on the camera, Calipsa is already helping reduce false alarm rates by up to 50%, according to customer trials.
“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, 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.”
Calipsa’s integrated alarm receiving solution tackles the problems directly by applying software to intercept false alarms, confirming their legitimacy within seconds and passing only genuine alarms to operators at the monitoring station. Cost-effective and efficient, the Monitoring Platform allows businesses to expand operations without being bogged down by high volumes of incoming false alarms.
Customers benefit from Calipsa’s highly advanced analytics capabilities, developed using algorithms that can quickly process and analyse video feeds to detect humans, vehicles or animals at the scene, then filter out false alarms and detect real alarms –all in real time. Staff members are more efficient, able to concentrate on legitimate alarms, and reduce the risk of missed incidents.
Behind the new Platform, the Calipsa engine uses a form of artificial intelligence (AI) known as Deep Learning that continuously evolves and improves over time. Designed to work with any existing IP camera or video source, the technology can be deployed quickly via the cloud with no upfront investment.
Calipsa demonstrated its technology at UK Security Expo.
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 is a machine learning (AI) based software platform designed to automate 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.
Visit http://calipsa.io and follow on Twitter @Calipsa_io.
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