Opendata, web and dolomites

AUTOSITE100 SIGNED

Autonomous cranes based on computer vision and AI to increase productivity and safety on construction sites

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "AUTOSITE100" data sheet

The following table provides information about the project.

Coordinator
INTSITE LTD 

Organization address
address: SHIMSHON 46/1
city: HAIFA
postcode: 3467815
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INTSITE LTD IL (HAIFA) coordinator 50˙000.00

Map

 Project objective

INTSITE is an Israeli company founded in 2017 with the mission of increasing efficiency, profitability and safety in construction. Our objective is to develop Artificial Intelligence based systems for autonomous construction machinery. Over the last 2 years, we have developed AUTOSITE100 -Autonomous Crane System- that converts any crane into an autonomous machine and provides the management team with real-time site insight for improved decision making. Cranes are the main bottleneck of any construction site: despite hoisting 70 % of all materials and equipment, their efficiency is only 55%-65%. In addition, cranes are one of the largest sources of fatal accidents in construction projects (3,480 crane fatal accidents in the EU in 2017 caused by human error). Incorporating AUTOSITE100 into any crane will provide improved efficiency (30% productivity increase, 24/7 operation), increased safety (real-time detection of every fixed and moving object in the site) and smarter overall site management (real-time map updated and crane activity dashboard). AUTOSITE100 is a patented technology that combines Computer Vision, Artificial Intelligence (Deep Learning), Machine Learning techniques and aerospace algorithms with off-the-shelf hardware. Existing solutions in the market are far behind AUTOSITE100 and only work on improving either safety or efficiency, but none of them offers both in a single product, as we do. AUTOSITE100 goes beyond current solutions by using machine vision technology (Artificial Intelligence and Computer Vision). It transforms current cranes into high-efficiency autonomous cranes, providing decision-making tools for the management team and avoiding collisions.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AUTOSITE100" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "AUTOSITE100" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

RDNA (2019)

Empowering New Venture Growth - RDNA

Read More  

MEDIVAC (2019)

Machine learning software to design personalized neoantigen vaccines tailored to specific vaccine delivery systems

Read More  

Totem Spoon (2019)

Interactive Digital Signage with emotional intelligence for smart cities

Read More