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IFOY MGZN 2022 EN

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<strong>IFOY</strong><br />

<strong>MGZN</strong><br />

THE<br />

INVISIBLE<br />

EYE<br />

Name<br />

<strong>IFOY</strong> Category<br />

SYNAOS, SYNAOS IMS – Vehicle Localization<br />

Special of the Year<br />

Test report: What is the aim of all the digitalisation if there are always “blind spots”<br />

in the company? One such blind spot is the fact that most of the forklift trucks<br />

that drive around in companies are still controlled manually and are therefore<br />

only rudimentarily digitised, if at all. With the SYNAOS IMS – Vehicle Localization<br />

system, a camera-based sensor kit ensures their cost-efficient localisation<br />

– using state-of-the-art computer vision technology.<br />

SYNAOS is a software company, but it decided to build a bit of hardware. A small<br />

black box (19 x 12 x 6 centimetres) was exhibited at the demo set-up in Hall 3 in Dortmund.<br />

It was attached to a child-sized forklift and projects its images onto a screen. The manufacturer<br />

has dedicated itself to eliminating the gaps in the localisation of manually<br />

controlled industrial trucks of all kinds: So it’s all about the indoor localisation of<br />

industrial trucks. 95 percent of companies have forklifts in use, but they are<br />

rarely well integrated into the value chain: Currently, only the transport order<br />

is digital; the forklifts themselves are not digitalised. As a result, there<br />

is no knowledge of where a forklift is. There are forklift localisation<br />

technologies, but they are often not used. There is a good reason<br />

for this: ultra-wideband or lidar technologies are simply<br />

too expensive. Speaking of lidar: the system is already<br />

too accurate, overkill, like shooting at sparrows with<br />

cannons.<br />

With the new system from SYNAOS, which<br />

works with so-called “markers“, a Localisation-as-a-Service<br />

(LaaS)<br />

tool, it‘s different: Everything<br />

is already included in the<br />

price and the detection<br />

comes to an accuracy<br />

of about<br />

25 centim<br />

e -<br />

64

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