Enel, Eni, and Leonardo, facilitated by the COTEC Foundation, are seeking solutions to detect warning signs and other anomalies in the behavior of workers that could lead to a situation of danger or risk.

Expires: 02 May 2023

Reward: Up to $20,000 USD each winning solution

Meet the challenge!

Abstract

The risk of accidents at work represents a problem, especially in a post-pandemic world with the rise in remote working. With advances in technology, always-on systems that can detect warning signs and other anomalies in the behavior of workers would reduce this risk and improve the health and safety of drivers, operators, and field workers.

Can you provide a solution that can help the Seeker companies to prevent workplace accidents before they happen?

This Theoretical Challenge requires only a written proposal.

Only EU and UK Citizens are eligible for award in this Challenge.

OVERVIEW

The COTEC Foundation have organized this contest, with their members Enel, Eni, and Leonardo, to find systems that can detect behavior and warning signs of risk to their drivers, operators, and field workers.

Your system could help prevent situations that can create danger or risks. For instance, a solution that could identify warning signs in workers’ vital conditions, behavior, and/or safety equipment use (e.g. use of PPE) will reduce hazards – keeping them safe.

Your solution, at Technology Readiness Level = 5, should detect these anomalies in behavior, as well as providing data for reporting and analysis. Detecting these signs will help the Seekers to prevent workplace accidents through the use of new technologies.

BACKGROUND

Reducing dangers in the workplace and preventing the conditions that can lead to risk is important to both employers and to staff.

The topic of health and safety at work is an important part of the Charter of Fundamental Rights of the EU, the United Nations Agenda 2030, and is the subject of multiple regulations, programs, and initiatives. Protecting the occupational health and safety (OHS) of the around 170 million workers in Europe is one of the EU’s critical strategic objectives.

Description

THE CHALLENGE

Enel, Eni, and Leonardo, facilitated by the COTEC Foundation, intend to address the prevention of some categories of accidents, through the use of new technologies. Your solution should be able to detect warning signs and other anomalies in the behavior of workers that could lead to a situation of danger or risk. Some examples of use cases where the solution could be applied are: vehicle drivers, construction machinery operators, maintenance operators, lone workers in remote areas, and electrical grids operators.

Where possible, your solution should ensure connectivity with innovative telecommunications systems, for instance in the detection of remote workers in areas with low or no signal.

Following this Challenge, the COTEC Foundation intends to announce the winners, their solutions, and proposed next steps. The Foundation may host an awards ceremony later this year to celebrate its outcomes, to be held in Rome. Enel, COTEC, or other members of the Foundation may contact awarded Solvers to arrange their participation in, or attendance of, this ceremony.

TECHNICAL CRITERIA

Your solution, at Technology Readiness Level = 5, will ideally have the scope to achieve both parameter detection and data sharing connectivity for the best chance of a full award. Solutions that solely detect warning signs of risk remain of great interest.

Where possible, your solution should ensure connectivity with innovative telecommunications systems, including the ability to do so in remote areas or areas with poor or no signal – to enable geolocation and health monitoring technologies, even for remote operators.

The solution can also make use of Artificial Intelligence features, Big Data analytics and use different sources of data, external from its applied area, in order to improve the accuracy of detection. The Seekers are looking for solutions that have the potential to further develop bio-vital parameter detection, multimedia data analysis for stress situation detection, and metaverse/digital twin applications for these technologies.

After the Challenge, there will be a COTEC Foundation report produced for publication about the winning solutions. Please highlight any elements of your solution that could be considered confidential, which you do not own or you are not willing to share.

More info at openinnovability.com, meet the challenge!

Tipologia: Challenge prize

Fonte: https://openinnovability.enel.com/challenges/call/2023/2/safety-systems-to-detect-warning-signs

Paese: Brasile, Messico, ITALIA, Svizzera, Spagna, Australia, Norvegia, Repubblica Ceca, India, Kenya, Regno Unito, Danimarca, Cina, Germania, Cile, Sudafrica, Serbia, Francia, Finlandia, Austria, Giappone, Vietnam, Federazione Russa, Paesi Bassi, Egitto, Argentina, Singapore, Malesia, Lituania, Svezia, Israele, Canada, Corea del Sud, Stati Uniti d'America, Belgio

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