Senseye Limited

Proper maintenance in domestic Foundation Industries is crucial for everything that matters: productivity, product quality, reliable deliveries and safe working environments. However, in responding to the demands of global competitions, and more recently the effects of COVID-19, management teams have been forced to make difficult decisions to reduce costs...

Traditionally, human intervention has and continues to be prevalent in manufacturing and industrial contexts to connect and control various production processes and systems. This feasibility study project aims to develop understanding of how new information technology and internet-based innovations could be applied to remove human intervention and transfo...

"Predictive maintenance (PdM) is a key part of the Industrial Internet of things (IIoT) and is reliant upon data quality and quantity. Currently there are no systems on the market that can provide sufficient reliability, quality and quantity of data that is cost effective enough to handle multiple streams of data with comprehensive data analytics. This is...

As part of its drive to stay at the forefront of innovation as a leading Original Equipment Manufacturer in the can-making industry and to build upon work already done coupled with its recent innovative successes leading to awards for export, Carnaud Metalbox Engineering Ltd are seeking to test and demonstrate new equipment to make them more efficient and...

Integrated Vehicle Health Management (IVHM) and Health and Usage Monitoring Systems (HUMS) have been extensively utilised and proven for Helicopters over the last 25+ years. Condition Monitoring (CM) is becoming increasingly more in demand for a wide range of complex machines in many market sectors, as a means to increase operational efficiency, yet curre...

Smart Factories are centered on the application of big data and analytics and promise major benefits in efficiencies and productivity. Genuine use cases are scarce due to the lack of integrated and structured data, limiting scalable benefit. This project will assess the feasibility of automatically generating a layer of integrated and rich data to provide...

This project will explore and prototype ways in which complex condition monitoring software can be accessible and functional for non-expert users (maintainers) through design-led innovation.

This early stage feasibility project is to research and evaluate the application of IoT-inspired machine learning technologies to perform automatic diagnostics, improving the efficiency and productivity of solar sites. In addition, a new business model potential enabled by this high level of automatic will be investigated.

The aim of this technical feasibility project is research the feasibility of applying proven technology, performance management and efficiency principles from the aerospace sector to the solar energy sector through prototyping of advanced predictive analytics leveraging the technical and market innovations provided by the Internet of Things (IoT). The stu...

Senseye is developing a software product to exploit the 'Internet of Things', using advanced predictive analytics to revolutionise the asset management market by creating an 'Internet of Assets'. The technology behind the IoT is the focus of all current discussions but little thought has been given to the user experience. IoT needs to be accessible to peo...

Senseye is developing a software product to exploit the 'Internet of Things' and revolutionise the asset management market by creating an 'Internet of Assets'. The aim is to open up the benefits of a $5 billion market to those currently not served by this market; smaller operators and less technically-minded businesses whilst adding new advanced predictiv...

Senseye is developing a software product to exploit the 'Internet of Things' and revolutionise the asset management market by creating an 'Internet of Assets'. The aim is to open up the benefits of $5 billion market to those currently not served by the market, smaller operators and less technically-minded businesses whilst adding new advanced predictive c...