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Calipsa launches Deep Learning powered video monitoring

June 2017 by Marc Jacob

British tech start-up, Calipsa has launched its next generation video surveillance technology built on state of the art Deep Learning models. Founded by machine learning and artificial intelligence experts, Mohammad Rashid Khan and Boris Ploix, the company has developed algorithms that can process and analyse hours of video feeds to provide alerts and detailed reports for applications where real-time video monitoring is key, including traffic enforcement, public spaces, transport hubs, road accidents and public disorder.

The Calipsa engine uses a feedback loop to continuously evolve and improve over time. Human operators can ‘teach’ the artificial intelligence using a simple point and click interface, which automates repetitive parts of their jobs. Designed to work with any existing camera or video source, the technology can be deployed quickly via the cloud or on-premise, with no retrofit required. Calipsa is highly adaptable to all weather and lighting conditions, with 95 per cent accuracy.

Calipsa demonstrated its technology at IFSEC to show how it works in a number of typical scenarios, including municipal cases, such as monitoring traffic flows and congestion, traffic surveys and incident detection, as well as mass transit (airports, bus and train stations). The company is actively looking to recruit partners offering hardware, security and integration solutions.

The Calipsa team, which comprises expertise from universities including Cambridge, Imperial College London and UCL, has raised a seven figure seed funding round from a number of well-respected venture capitalists, including Localglobe, Horizons Ventures and Entrepreneur First - which have backed some of the biggest companies in the world. Calipsa is already working with customers in the UK, France and India and is now seeking strategic partners to take its technology to the market.

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