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“Monitor-Box, powered by Microsoft Azure IoT, offers affordable production monitoring for SME manufacturers. With IoT, even limited-resource manufacturers can boost efficiency and quality. Real-time insights streamline operations, optimize resources, and enhance competitiveness, vital for SMEs aiming to thrive in dynamic markets.”
Monitor Box is the leading innovator in IoT production monitoring systems, providing real-time, precise data that can enhance your production efficiency. Our high-quality, powerful solutions allow you to monitor every step of the manufacturing process, from raw material acquisition to final product dispatch. Whether it’s temperature sensors, energy meters, or machine condition monitoring, our advanced IoT systems provide you with the actionable insights you need to optimize production operations, reduce waste, and increase profitability.
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Monitor-Box is a Microsoft Azure-based IoT production monitoring system for SME manufacturers with limited budgets or human resources


M-Box is a Microsoft Azure-based IoT production monitoring system for SME manufacturers with limited budgets or human resources that aim to get started with IoT quickly and successfully, based on 2 pillars that can be combined or used independently:
– Uptime
– Cycle time
– Quality
Smartphone-integrated Barcode scanning system
Book a DemoExternal sensors fit to any machine or workstation.
Read MoreAffordable pricing on setup and subscription fees
See Our PricingEasy installation with instant data access.
Book a DemoImplementation of The Lean/Six Sigma’s Business Process improvement concept of DMAIC (Define, Measure, Analyze, Improve, Control) requires reliable and unbiased data that M-Box provides.




CNC, EDM, Stamping, Punching, Bending etc.
Mechanical and hydraulic injection moulding machines
Manual and automatic welding stations
Assembly lines or stations

Apply to: CNC, EDM, Stamping, Punching, Bending etc.
Monitoring:
– Uptime
– Output count
– Cycle time
– Product and operator identification

Apply to: Mechanical and hydraulic injection moulding machines
Monitoring:
– Uptime
– Output count
– Cycle time
– Mould Open/Close time
– Electricity usage and waste
– Product and operator identification

Apply to: Manual and automatic welding stations
Monitoring:
– Uptime
– Output count
– Cycle time
– Welding characteristics
– Product and operator identification

Apply to: Assembly lines or stations
Monitoring:
– Uptime
– Output count
– Cycle time
– Product and operator identification
Installation time < 1 hr per machine
Preset modules for application areas and equipment types show your data instantly
In-depth reporting (Power BI)
Simply place the M-Box on your machine (magnetized) and power it up (12V adaptor included).
Set up the external sensor(s) and plug into the M-Box.
The units automatically connect to the dedicated M-Box network via the preset Wi-Fi station (provided by M-Box).
View the data in your portal.
Hover video to find the full-screen function
We used to spend more time on creating reports than we did on doing something actively constructive with them. Automatic reports take out the nuisance of creating the reports, add to that the fact that they are available when still actionable
The tools of analysis that we now have allow us to rank our business opportunities on profit potential, using the historical production data. We were able to focus on profitable productions only after implementing this tool.
We have been looking at apps that allow for more remote working, which is encouraged these days. Finding one that integrates machine data was a requirement, and this one proved a real find. Thanks, guys!
Installation was a walk I the park, did not take more than 30 minutes for each machine. The machine itself only had to be stopped for 10 minutes to install the sensor. Got the complete floor set up within a day.
Compared to other projects, this was a relief. Once we were set up the data came in. No in-depth procedures and the intuitive portal is so easy to use. Everyone loves it.
I love walking the factory floor, but realize it’s not optimal to feel the pulse of the factory by just doing that. The data I have now, really give me the insights that are valuable in our decision-making.