PROPERTY

Hand the night patrol
to something that never dozes off.

Security staff get harder to hire every year, the night shift most of all; yet every fire extinguisher, fire door and night light on the checklist is a record you have to produce for safety filings and insurance claims. Let the robot handle routine checkpoints — photographing and reading each one, alerting instantly on anomalies — so on-duty staff only deal with what truly needs a person.

沙崙綠能園區: not a demo, but daily routine

100+ days
Continuous operation (5 robots, ongoing)
95%+
Continuous operating availability (uptime)
5 floors
Over 4,000 m², 100+ checkpoints, deployed in 1 day
NT$44
AI reading cost: 100 points × 100 nights*

* One inspection point costs under half a cent (about NT$0.004) in AI reading. About 100 inspection points patrolled for 100 nights — 10,000 readings — total roughly NT$44 in AI reading cost, with change to spare from a single NT$50 coin. Token usage is logged per call and converted at 2026 flash-lite model rates (Google bills monthly); excludes the robot unit and subscription fees. The system has now run continuously for over 100 days.

What it patrols and how it reports

  1. Point-by-point patrolFire extinguisher pressure and seals, AED status lights, fire-door open/closed state, night lighting — each checkpoint photographed in place, every shot read by AI.
  2. Instant anomaly alertsWhen it reads an anomaly, the photo and location are pushed to the on-duty group instantly (Telegram / LINE) — no waiting for daybreak to check a report.
  3. Auto-generated inspection reportsEvery patrol round generates an illustrated report: checkpoint, time, photo, reading result; the format aligns with the fields required for safety filings and can serve as an internal patrol record and supporting attachment — formal filing is still handled by licensed professionals.
  4. AI learns the site's "normal"Adaptive baseline + change detection: it remembers what your site usually looks like and only alerts when something is "different from usual" — fewer false alarms, so on-duty staff don't treat alerts as spam.
Illustration of an inspection report printing from the top of a robot, items ticked off one by one with one marked red NG

More value, beyond patrols

The same robot can take on more on-site jobs than inspection alone

RECEPTION — greet and guide

Visitors just ask; the robot leads the way

A visitor steps up to the kiosk and talks to the AI model directly, naming the person or place they're looking for; the AI understands and directs the robot to walk them there — no need to keep the front desk staffed, and no need for visitors to find their own way.

VISION — multi-angle recognition

Link external cameras to cover blind spots

Beyond the onboard camera, it can tie into existing external cameras on site for simultaneous multi-angle recognition; cross-checking one target from several viewpoints means sharper reads and fewer blind spots.

SCALE — multi-building management

One system manages many units

Centralized scheduling and reporting across multiple robots and floors, with a web-based management interface — open it right on the control room's existing screen.

Track record in Japanese office and property

Source: Preferred Robotics (manufacturer's public cases)

The Japan cases above are the manufacturer's public information (KDDI / Toda Corporation / GMO / JR East); for those not listed on this site's Japan cases page, source: Preferred Robotics.

Full Japan deployment cases (with on-site photos) →

7-day POC, zero equipment investment

Pick one building and trial it for a week. At the end you'll get: a patrol report specific to your site + side-by-side data comparing robot patrols against human patrols — the kind you take straight into a management committee or the GM's office.