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Industrial IR

IR market forecasts estimate an increase in investments of up to 20% by 2021, growth due to advances in machine learning and the spread of broadband services.
Companies in various sectors such as e-commerce, automotive, medical and gaming are increasingly oriented towards the use of image recognition technology.Image Recognition, if applied in an industrial context, plays a very important role in everything related to maintenance.The IR allows you to recognize what is framed by the camera of the smartphone even in case of poor visibility, partial or side framing, thanks to the accurate mapping of the object being implemented.Once the object is recognized, the IR technology comes into operation, returning information about the system such as the workshop manual, instructions for use, exploded views and the components, the machine card with historical interventions, etc.
The reordering of possible pieces with malfunctions could be then simplified by skipping the consultation phase of the papery exploded view and the identification of the piece in question: the whole would be replaced by the framing of the plant portion and relative restitution of the components present.This process visibly accelerates plant maintenance procedures, also affecting productivity: reducing waiting times reduces downtime.

IR market forecasts estimate an increase in investments of up to 20% by 2021, growth due to advances in machine learning and the spread of broadband services.
Companies in various sectors such as e-commerce, automotive, medical and gaming are increasingly oriented towards the use of image recognition technology.

Image Recognition, if applied in an industrial context, plays a very important role in everything related to maintenance.

The IR allows you to recognize what is framed by the camera of the smartphone even in case of poor visibility, partial or side framing, thanks to the accurate mapping of the object being implemented.

Once the object is recognized, the IR technology comes into operation, returning information about the system such as the workshop manual, instructions for use, exploded views and the components, the machine card with historical interventions, etc.
The reordering of possible pieces with malfunctions could be then simplified by skipping the consultation phase of the papery exploded view and the identification of the piece in question: the whole would be replaced by the framing of the plant portion and relative restitution of the components present.

This process visibly accelerates plant maintenance procedures, also affecting productivity: reducing waiting times reduces downtime.

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