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CHAPTER 8

Uses and Phased Introduction

The same streetlight units can serve many uses. But the functions required, and the difficulty of social acceptance, differ greatly by use. We therefore propose adding uses step by step.

Main uses

UseHow it worksAdditional burdenSocial acceptability
Watching over children (Bluetooth)Streetlights detect a smartphone or small tag carried by a child and record its locationVery smallHigh; based on consent of the child and parents
After-the-fact tracking (basic function)After an incident or disappearance, people follow images camera by cameraAs estimated on this siteTo be confirmed in pilots
Anomaly detectionOn-device AI continuously detects dangerous situations and sends alertsMore power and computationThe most difficult
Behaviour-pattern analysisTrends analysed from accumulated informationLargeRequires careful debate

Watching over children is the ideal entry point

Bluetooth-based watching-over rests on consent, so it meets little opposition and costs almost nothing extra. It also improves the accuracy of camera tracking, because "the child carrying this tag" can be linked to the images even in a crowd.

Anomaly detection is where VRAIO applies most directly

Anomaly detection, with AI judging continuously, is a difficult use to accept. On the other hand, it is "AI output" in the purest sense: what the AI detected, and whom it notified, can all be recorded and audited by VRAIO. We envisage adding it as the final stage, after society has decided.

Build in hardware headroom from the start

Units on top of streetlights are not easily replaced. We therefore recommend installing AI-processing parts and Bluetooth receivers from the start, and enabling functions step by step through software updates as society agrees. The initial cost rises slightly, but this is cheaper than refitting each time a use is added.

How to run a pilot

The first step is a pilot of limited scope — for example, the routes to one primary school, or a limited residential district.

What pilots should verify


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Contents


FMPS + VRAIO: Public-safety infrastructure built on streetlights, and the governance of AI outputs | Yusaku Fujii (Gunma University) and NPO e-JIKEI Network Promotion Institute
This site presents a research-stage concept; all figures are estimates.