Material processing operations require people and machines to work in close proximity. Operatives regularly work within red zones where the risk of incident is high. The dangerous environment of the material processing industry often leads to serious accidents and fatality due to an inadequate field of vision on machinery, causing accidental contact with people.
Over the 2021 - 2022 period the waste and recycling sector had a fatality rate that was 11 times higher than the average across all industries in the UK. (Health & Safety Executive)
The Machine Eye risk management platform utilises deep learning AI to continually assess risks and hazards associated with mobile machinery usage in the material processing industry and accurately identify and interpret the movement of humans around these machines. Using this solution, autonomous decision making can take place to understand if a human is at risk of injury or collision. Our technology uses situational based safety algorithms, to provide a more flexible and co-operative system for a variety of industrial applications.
The Machine Eye platform provides operators with real time assistance, situational awareness and alarming to ensure a safe machine-pedestrian interface.
The Machine Eye platform also supports management with autonomous auditing (which ensures that pedestrians do not enter “keep out” areas), and other safety critical KPIs. These are displayed to management via an interactive dashboard and reporting function.
The Machine Eye platform provides a variety of productivity efficiencies for the material processing industry from cost savings such as recruitment and training, sustainable revenues, reduced employee down times, improved workplace safety and improved staff retention as employees feel valued and safer in the workplace.
We are always looking for partnership, interesting people and opportunities. If you have any questions, would like to find out more about us, or understand how our intelligent perception systems can help your business, we would love to hear from you.