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IoT-ready radar sensors with micrometer-level accuracy for safe human-machine collaboration

Project description

IoT-ready sensors for safer robot jobs

Robots are being used in many industries, especially in difficult and dangerous environments that may be too risky for humans. Robots operating side-by-side with human workers also poses a risk. This is mainly due to inefficient strategies or detecting systems. The EU-funded preSENSE project will support the production of the mmWave Radar Sensor network. First of its kind, this network contains a smart sensor and cloud-based software with specific algorithms. It can intercept objects with a high degree of accuracy. The IoT-ready device is designed to serve different industrial sectors and can be connected with many services. This innovative product will successfully compete in local and international markets.

Objective

Robots are revolutionizing the labour landscape by increasing production and replacing workers in especially hard and dangerous jobs. But when men and robots have to work together, accidents occur due to the low efficiency of the strategies regarding robots in the presence of humans and the detection systems. In recent years, 77 workers have died due to accidents related to robots that, in addition to human losses, amount for millionaire costs.
We are going to produce the first mmWave Radar Sensor network designed specifically to increase safety on scenarios involving cobots and humans. Our smart sensor, combined with the specifically designed algorithms and cloud-based software, is able to detect an object with an accuracy of 1 µm under the most extreme conditions, in a compact and IoT-ready device that, in turn, enables additional services and business models for the first time in this area.
The Proximity Sensor Market is growing driven by very diverse activities in different sectors of the industry. The sale of collaborative robots has reached its highest levels in 2018 and, together with the implementation of new ISOs standards, that increase the security measures for the collaborative work of robots and humans, opens up great opportunities to enter a market projected to reach €5.75 B by 2020.
Our business model is based on direct sales of hardware and renewable software licenses to robot manufacturers and industrial users in Europe and Asia, allowing our company to grow and expand internationally. This is thus a strategic project for ondoSENSE. Its required investment is expected to provide us a profitability after five years in the market with ROI=7.5.

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

ONDOSENSE GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
CHRISTAWEG 54
79114 FREIBURG IM BREISGAU
Germany

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Baden-Württemberg Freiburg Freiburg im Breisgau, Stadtkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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