IoT and vision technologies for the security industry

IoT and vision technologies for the security industry

1. Challenges in the security industry

1.1 Stay ahead of the criminals

The challenge for security companies is to stay one step ahead of the criminals, continuously improving their security measures to protect their customers and assets.

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 “Camera shy hoodie” uses infrared LEDs to obscure faces in security cameras


1.2 Improve business growth with new service offerings

The silver economy is coming of age with more than 20% of the population in Europe being over 65 years old.

With their solid customer case, equipment already installed in homes and backend operations working, the security company are extremely well placed to address the market of stay-at-home elderly people.

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Verisure offers new services for elderly people

2 CSEM IoT and vision technologies

2.1 About CSEM

CSEM is a Swiss technology innovation center developing advanced technologies with a high societal impact, which it then transfers to industry to strengthen the economy. The non-profit orientated, public-private organization is internationally recognized, and works to support the disruptive activities of companies in Switzerland and abroad. CSEM operates in the domains of precision manufacturing, digitalization, and sustainable energy. To accomplish its mission as gateway between research and economy, CSEM's 600 employees from 44 countries collaborate with leading universities, scientific institutions, research institutes, and industrial partners. With its six sites in Allschwil, Alpnach, Bern, Landquart, Neuchâtel and Zurich, CSEM is active all over Switzerland.

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Smart, intelligent and ultra-low power electronics by CSEM

2.2 Technologies

Small footprint facial recognition system

With real-time performance (7 fps@QVGA) and tiny memory footprint (<10MB), this is one of the smallest facial recognition systems. Other advantages include low power consumption, self-improving recognition algorithms and stand-alone software with no external dependencies.

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CSEM human centric vision includes facial recognition, mood detection and people tracking


Low power and high dynamic camera

CSEM is involved in silicon design for imagers as well.

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ERGO is a high dynamic imager capable of capturing a very large range of light (left), WITNESS is an ultra-low power imager working on PV cell (right)


Wearables

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CSEM high-accuracy fall detection algorithm may be embedded into wearables (left), SMART DUST miniature photovoltaic tracker (5x3x3mm) s


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