An IoT system for counting production

CoreData Platform EngineeringWeb Application DevelopmentEmbedded & IoTUI/UX DesignBusiness Process Improvement & Automation

Organisation: Student Years
Period: Aug 2018 – Mar 2020
How it started: Assigned (As part of the Aichi IoT Promotion Lab student team)
My part: Led it (development almost entirely mine, factory meetings with my professor, hardware with a trading company and an IT vendor)
For whom: The manager of the screw factory
What changed: Production counted by eye → Counted automatically by sensor and shown on the machine layout

What I did

Got communication stable despite how hostile the factory floor was to it.
Built everything from the link through recording to display, and got it running in the actual factory.

Used a dust network to cope with the conditions on the floor.
Instead of listing numbers, laid the graphs over the floor plan of the machines.
Kept refining it on feedback from the floor.

Links

Coverage

2020
Aichi Prefectural University Bulletin, 2020 vol.6
Students develop a factory IoT system now running in production
Aug 21, 2019
Kamiya Laboratory (Sensing Lab.), Aichi Prefectural University
The IoT system built at the Aichi IoT Promotion Lab is now running

Extraction that goes inside the implementation, visualisation that serves the business goal.
I work alongside the business from the definition of the metric itself, and stay with it through to the insight it was asked for. From IoT systems to web and mobile, I have broad experience of building software, so I extract data with a deep understanding of the implementation behind it. Visualisation and analysis are the same — I put generative AI to work and deliver quickly, in the form the person will actually use. Underneath that, I can shape the data, the context around it and the ETL that feeds it for the age of generative AI, so that people and AI alike can work with what is there.

I can design the whole system, not one layer of it
From hardware up to the cloud, I can draw the blueprint. I have built IoT hardware, web applications, mobile apps, and a game service platform running in the cloud, so I can combine pieces I have not used before and still see how the whole thing fits together. Holding that picture is also what lets me hand implementation to generative AI and still carry a whole system on my own.