KITT4SME (platform-enabled KITs of arTificial intelligence FOR an easy uptake by SMEs) is a Horizon 2020 project (952119) supported by the European Union. The aim of the project, specifically oriented to SMEs and mid-caps target, is to provide them with scope-tailored and industry-ready hardware, software and organisational kits, delivered as modularly customisable digital platform, that seamlessly introduce artificial intelligence in their production systems.
EMOJ is proud to be part of this project that has enabled the implementation of an Artificial Intelligence solution based on continuous body monitoring and ergonomic assessment of the level of exposure to MDS risk.
The problem of insufficient attention to the health and safety of workers, as well as ergonomically incorrect postures during work tasks, can lead to musculoskeletal disorders or, in the most severe cases, accidents. Emoj’s proposal was the implementation of HEGO.APP, which enables a radical transformation in the approach to safety, through a non-invasive, constant and automatic assessment of ergonomic risk during production operations.
What HEGO.APP detect:
- Full Body Detection: posture and movements recognition
- Assessment of upper limbs (neck rotation, rotation of the torso, lateral and frontal rotation of the arm, flexion or extension of wrist, rotation of the hand) and lower limbs (leg angle)
- Evaluation of RULA Index
- Biometric analyses of upper and lower limbs and ergonomic indices are entered into a dashboard. Customised analyses or comparisons can be made using search filters.
HEGO.APP is a useful tool for all those who are called upon to assess health and safety conditions in the workplace and supports workers themselves in self-learning from incorrect postures.
The ultimate goal is prevention, risk reduction and improved occupational well-being through accurate analysis and more conscious decision-making processes.
“This project has indirectly received funding from the European Union’s Horizon 2020 research and innovation programme, via an Open Call issued and executed under project KITT4SME (grant agreement № 952119)”