01 Background
Green space
has never been measured.
Maintaining planted greenery has long depended on the rules of thumb held by veteran gardeners. As their numbers shrink and management budgets shrink along with them, operations built on the current structure cannot continue as they are. At the same time, we have had no way to put a number on how the green space we build actually benefits visitors and the surrounding community — the kind of evidence needed for budget requests, resident briefings and investment decisions.
On top of that, foot-traffic analysis, image analysis, sensors and signage are each ordered from different vendors, so costs stack up while the data stays scattered across separate systems and is never put to use. These look like unrelated problems, but they all trace back to a single cause: nothing is actually being measured. What's needed now isn't more staff — it's turning rule-of-thumb experience into data the next person can pick up and carry forward.
02 Proposal
Measure the site,
and act only when it matters.
We provide AI cameras, environmental sensors, signage and an analytics platform together through a single point of contact. Bringing what used to be disconnected pieces onto one platform removes duplicated cost and lets management decisions weigh growing conditions against how the space is actually used.
DETECT
Catch problems early
AI image analysis automatically detects growth problems such as dead or dying plants, so issues surface without waiting for the next scheduled patrol.
ALERT
Act only when it's needed
Linked to soil-moisture and temperature sensors, the system fires an automatic alert the moment a threshold is crossed — shifting management from fixed-interval patrols to a response driven by actual condition.
HANDOVER
Keep the reasoning on record
The reasoning behind every watering and pruning decision is preserved as data, so management quality holds up even as staff change. Comparing usage before and after improvements feeds directly into next year's plan.
EXPERIENCE
A dialogue with the plants
AI interprets soil dryness and signs of plant stress and displays them on signage in real time as a character's expression and colour. The same data reaches staff as an alert and reaches visitors as an expression — turning the green space into a place of environmental education, where people come to see it as their own.
The reason three companies work together: it lets us run
one unbroken line from data capture to decisions to on-site delivery.
Other companies can install sensors. Others count foot traffic, and others run statistical analysis. What three Kyushu University-founded companies bring by working together is the ability to handle everything from data capture through to convincing decisions and on-site DX without a break in the chain. URBANIX analyses the foot-traffic and dwell-time data from the AI cameras and serves as lead company and point of contact; Logian handles impact verification through causal inference and KPI design; WaveCore implements the outdoor sensors and cameras.
03 Who It's For
For park managers,
and for developers investing in green space.
The same measurement platform answers two quite different needs.
FOR 01
Municipalities and park managers
Keeps management standards up within limited staff and budget, and lets you explain the results to councils and residents in numbers. A monthly overview lists where plants have died, how often thresholds were exceeded, and watering and patrol records — supporting operations through to revising thresholds and setting priority zones.
FOR 02
Developers and area management
Makes it possible to verify how green space built through redevelopment or a Park-PFI project actually affects dwell time, circulation and how the area is used. Being able to set "how it was managed" against "how it was used" side by side means the return on green-space investment accumulates as numbers you can put in front of tenants, investors and government.
04 Data Handling
What the cameras capture:
only how many people, and how they move.
Installing cameras at all means we need to be upfront about designing the system so it cannot identify individuals. We do not use facial recognition to identify anyone; each person is treated only as a temporary ID used solely to tally movement. Footage is, in principle, not stored in any form that could identify an individual, and is deleted automatically once a set retention period ends.
We post signage stating that filming and measurement are taking place, together with the purpose and a contact point, and restrict data access to authorised staff only. Data collected is never provided or sold to third parties. Operating rules are agreed and put in place before launch, in line with Japan's Act on the Protection of Personal Information and the client's own regulations and ordinances.
05 Where We Are Now
Not stopping at an exhibit —
built to carry through to long-term operation.
- FACTAdoption confirmed for a section within the site of the 2027 International Horticultural Expo (GREEN×EXPO 2027)
- OUTCOMEDesigned not as a one-off installation, but as a system built to move straight into long-term operation
- ONGOINGWorking with landscaping and green-space management specialists to build detection criteria for each tree species
- ONGOINGPreparing a package that lets municipalities and private green-space owners begin with a pilot before wider rollout