ViSafety

ViSafety

Rethinking the Way of Indicating Intended Machine Motions

Programme: Mechanical Engineering / Industrial Economy

Course: MT2569 – Design Thinking

Corporate partner: Volvo Construction Equipment

Challenge: Identify needs that arise on construction sites and develop a user-centered solution that helps people on construction sites to have a better overview and thereby enhances their safety by applying the Design Thinking process and methodology.

Solution: We recognize the pivotal role the construction industry plays in our society, and it is our responsibility, as engineers, designers, and researchers, to create the safest possible work environment for them. Our primary focus lied in meticulously gathering data from diverse sources and transforming this information into actionable insights and potential products for future development. By applying the Design Thinking process, we aimed to design a solution, which will positively impact the safety of those in the construction industry. We came up with the idea of AR-glasses which indicate their wearer whether there’s an obstacle nearby that is not in their current field of view, enables them to communicate with other wearers via an proximity-activated audio channel, tracks their position on the site and enables them to see better in the dark.

Impact: Our AR glasses are designed to boost safety and efficiency. They alert wearers to nearby obstacles, reducing accidents and insurance fees. The proximity-activated audio channel enables better communication, and night vision enhances visibility in the dark, making work more efficient and safer than stopping machine movements.

Prototypes: In Arduino we built a proximity sensor connected to a LED light that indicates if something is approaching. It indicates blue light if you are near and red light if something is very close. The LED and sensor were attached to safety glasses and should be worn by anyone on a construction site. If we would have more time we could implement more features to our prototype or attach more proximity sensors.

https://clipchamp.com/watch/UBV47Uau43D

Quotes from sponsor/partner: –

Project team:

  • Hedda Nordstedt, Industrial Economy, class of 2020
  • Alexander Stahre, Industrial Economy, class of 2019
  • Lorenzo Palo, Mechanical Engineering, class of 2023
  • Pauline Künzl, Human-Computer Interaction, class of 2022.

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