CHAPTER 5
"If every streetlight has cameras, won't the network, the electricity bill and maintenance costs be enormous?" This is the question we are asked most often. The answer lies in the design: FMPS does not stream footage. The figures below are estimates, to be confirmed by measurement in pilot demonstrations.
| About 1–2 W | Power per streetlight (estimate, three cameras) |
| About US$100 | Electronic parts per unit (smartphone-grade components) |
| About 100 MB | Data needed to trace one missing child over about 1 km |
| Item | Assumed value |
|---|---|
| Cameras | 3 per streetlight (wide-angle, low resolution) |
| Frame rate | 2 images per second per camera |
| Image size | About 20 kB normally, about 100 kB when motion is detected |
| Share of time with motion | About 20% of the day (residential area) |
| Retention | Overwritten automatically after about two weeks |
| Component | Typical power (three cameras) |
|---|---|
| Image sensors × 3 | 0.3–0.6 W |
| Processor (compression, motion detection, encryption, storage) | 0.4–0.8 W |
| Storage and communication (mostly standby) | 0.1 W or less |
| Total | About 1–2 W |
In electricity terms: 1.5 W × 24 h × 365 days ≈ 13 kWh, or about ¥400 per streetlight per year (at ¥31/kWh). This is 10–20% of the power of a typical residential LED security light (about 10–20 W).
Where streetlights receive power only at night, the daytime must be covered by a battery: 12 h × about 1.5 W ≈ 18 Wh (about 21 Wh for a 14-hour summer day). Allowing for depth of discharge and conversion losses, a capacity of about two smartphone batteries is needed. Because the battery is cycled daily, long-life lithium iron phosphate cells are assumed.
| Per camera | Three cameras | |
|---|---|---|
| Normal images only (20 kB × 2/s) | About 3.5 GB/day | About 10 GB/day |
| Motion images only (100 kB × 2/s) | About 17 GB/day | About 52 GB/day |
| Weighted average (20% motion) | About 6 GB/day | About 19 GB/day |
Two weeks of storage (about 260 GB) requires a 512 GB high-endurance memory card; a 256 GB card holds about 12 days.
| Situation | Typical data volume |
|---|---|
| Normal times | Maintenance data only (negligible) |
| Finding the starting point (motion list and representative images) | A few MB |
| Tracking: per camera (about 15 s × 2/s × 100 kB) | About 3 MB |
| Tracking: about 1 km (about 30 streetlights, one camera retrieved per light) | About 90 MB |
| Total for one missing-child search | About 100 MB |
Even over an inexpensive LTE Cat.1-class link (about 1 Mbps effective), the images for 1 km of tracking can be retrieved in a little over ten minutes. Where speed matters, a somewhat faster link reduces this to a few minutes. No high-bandwidth backbone is needed.
Streetlights with built-in cameras already exist as products. At present, however, a dedicated mould costs more than ¥10 million, and spreading that over sales of a few dozen units a year puts the price at around ¥200,000 per unit. That price reflects small-scale production, not the technology.
Mass production changes the picture completely.
| Item | Estimate (mass production) |
|---|---|
| LED streetlight (retail) | About ¥5,000 (about US$35) |
| Set of smartphone-grade parts (retail) | About ¥10,000 (about US$70) |
| Parts and assembly to combine them | A few thousand yen |
| Mould (¥10 million spread over 100,000 units) | About ¥100 |
| Total | About ¥20,000 (about US$130) |
This is what we mean when we say FMPS needs no special new technology: combining two widely used products turns a streetlight into a camera streetlight. Inexpensive LED streetlights have already proven their waterproofing and weather resistance outdoors in very large numbers.
The main reason security equipment is expensive is the reliability demanded of it.
But this applies when you try to protect your own home, by yourself, with certainty. As long as protection rests on a single device, that device must keep delivering 100% reliability, and security equipment inevitably becomes very expensive.
The idea behind the e-JIKEI Network, begun in 2002, is different: everyone watches over everyone. The camera in front of a house is there not for that house but for the public space of the community. Because many cameras complement one another, community-wide watching-over is unaffected even if the failure rate of individual cameras exceeds 10%.
FMPS realises this idea at streetlight scale. The fields of view of neighbouring cameras overlap, so that even if one camera stops, the route is linked by the cameras before and after it. Because no single unit has to be 100% reliable, units can be built cheaply from consumer-grade parts, and no emergency call-out is needed for each failure.
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These are estimates. The total cost, including installation, communication, maintenance, operation and auditing, must be measured and evaluated in pilot demonstrations. |
← Previous: 4. How It Works | Next: 6. VRAIO: Governing Outputs →
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.