YaseiGrid

A distributed regional safety infrastructure, built on DePIN.

YaseiGrid combines AI cameras, map data, blockchain, and JPYC rewards so that residents, facilities, farmers, forestry workers, and local governments can each participate on a distributed basis in a wildlife-risk data network.

Rather than the traditional model where a local government or large company makes a single up-front capital investment, the aim is for individual installers to participate at small scale, for the detection data itself to become a regional safety asset, and for rewards to flow back to that contribution.

Not one party bearing the whole cost — the whole region growing a safety infrastructure together.

Status: concept / demonstration-preparation stage (2026).

We have built an AI-camera detection prototype and are preparing for a field PoC. The precursor edge-AI detection work was already presented at State of the Map Japan 2025. Everything described here about detection, notification, rewards, and data provision is still to be verified for effectiveness and operating method through demonstration. We are recruiting local governments and facilities that can offer a demonstration field, and people willing to help install nodes.

The problem

• Damage from bears, wild boar, and deer is spreading across residents’ daily lives, agriculture, forestry, and tourism
• Response is centered on reacting to reports after the fact, making it hard to catch an appearance in advance
• People go about daily life, travel, and work without knowing whether danger is nearby
• Facilities lack the data to ground operating decisions, event management, and visitor notifications

Why DePIN

Wildlife-risk countermeasures require continuous observation across a wide area. But a model where a local government or a single company covers every camera, connection, power source, and maintenance cost gets more expensive as the area grows, limiting where it can be deployed.

DePIN (Decentralized Physical Infrastructure Networks) is a design philosophy for changing that structure: residents, farmers, forestry workers, campsites, ski resorts, and outdoor-activity operators each install detection nodes at small scale according to their own needs, and those nodes generate region-wide safety data that local governments, facilities, companies, and residents can use.

The approach: find, notify, record, reward

Find

Edge AI automatically detects wildlife risk — bears, wild boar, deer — using AI cameras (nodes) distributed across the region, so the detection network grows through many participants rather than one company owning all the equipment.

Notify

We are considering a system that cross-references a detected location against a user’s current position or registered area and sends an immediate smartphone alert to anyone nearby, with residents, hikers, facility users, forestry workers, farmers, and tourists as the intended audience. The effectiveness of instant notification is to be verified through demonstration.

Record

When and where something was detected, and how it was responded to, is logged as an operational record — accumulated as safety data usable for policy decisions, facility operations, and resident communication, not just as a raw detection log.

Reward

We are considering a JPYC-based reward design for installers — no proprietary token, aimed at rewarding contribution to regional safety rather than speculation. The specific reward mechanism is to be verified through demonstration.

How the network works

• Step 1 — Local installers set up nodes: residents, farmers, forestry workers, facilities, businesses, and local governments each install a small AI-camera node where it is needed; Netsujo does not hold large quantities of hardware itself.
• Step 2 — AI detects and aggregates: edge AI detects wildlife risk and overlays it on map data (e.g. OpenStreetMap), aggregating it into YaseiGrid and delivering it to the region as smartphone alerts, a risk map, and warnings.
• Step 3 — Data informs decisions, and rewards flow back: local governments, facilities, companies, and residents are meant to use this for safety decisions. Detection logs are planned for the Symbol blockchain, and the reward design for uptime and valid detections is to be verified through demonstration.

Ecosystem roles

Not a centralized infrastructure

Business model

NODE — detection-node operating base

A planned setup where installers own the device and Netsujo provides device specs, initial configuration, uptime monitoring, and software updates — for example, node-management fees for businesses and facilities, initial-setup support, and monitoring/maintenance as a SaaS.

ALERT — real-time alerts and a management dashboard

A system letting local governments, facilities, and local businesses use area-level wildlife-risk alerts and operational logs — for example, an area-based alert-usage fee, a safety dashboard for facilities, and monthly reports for local governments.

DATA — using detection data and risk scores

A future API/data-provision model under consideration for insurance, research, tourism, disaster-prevention, and agriculture/forestry use — for example, API usage fees, risk-score provision, and anonymized statistical reports.

Reward model

• We are considering a reward design based on JPYC, a yen-pegged stablecoin, rather than issuing a proprietary token
• The design pools a portion of usage fees from customers (local governments, facilities, residents) as the reward fund
• How rewards are allocated by uptime, valid detections, quality, and priority areas is to be verified through demonstration
• The intent is a reward for genuine contribution to regional safety data, not a speculative instrument

JPYC-based reward design will be implemented step by step while confirming legal, accounting, tax, and local-government operational requirements.

Presentation record

State of the Map Japan 2025

Osaka University Nakanoshima Center, December 6, 2025. Presenter: Yasunori Matsuoka, CTO of Netsujo Inc.

Ways to join the network

• Installers — install detection nodes on farmland, forestry sites, campsites, ski resorts, or around your home or a local hazard area, as a demonstration-participation candidate
• Local government — consult about a demonstration for local-government use: resident communication, candidate-site coordination, wildlife countermeasures, tourism safety, and disaster-prevention coordination
• Facilities, companies, and local businesses — consult about demonstration potential for accident prevention, accountability, and use of operational logs
• Technology partners — join as a co-development partner in AI cameras, IoT, connectivity, enclosure design, map data, blockchain, JPYC payments, or local-government liaison

Where DePIN stands today, and the Web3 infrastructure business Netsujo is pursuing through YaseiGrid（日本語）Compares major overseas DePIN projects (Helium, Filecoin, WeatherXM, GEODNET, and others) and domestic trends (DIMO Japan, Mawari, Tadatit) to explain where YaseiGrid fits.

The blockchain oracle problem: an Oracle Agent reference design（日本語）Research notes on how to trust external data, such as sensor readings, before putting it on-chain — relevant to YaseiGrid as well.