Reinforced belt, ~2× battery capacity, ~2× solar generation — engineered for the harshest field conditions.
Built on the proven LoggLaw G2C platform, the G2RC solves the operational risks specific to bear deployments — scratching, rubbing against trees, and data loss after hibernation or in bad weather — through purpose-built hardware. Combined with learning-release (aversive conditioning) and geofence-based re-learning, it enables a coexistence-oriented bear-management program that does not rely on lethal control.
A purpose-built reinforced belt withstands the scratching and tree-rubbing characteristic of bears. High-abrasion-resistant materials dramatically reduce loss and damage risk in the field.
Battery capacity is increased by approximately 2× over the baseline platform, providing the stamina to operate reliably through hibernation emergence and prolonged bad weather, and enabling long-term monitoring.
On-board solar generation is increased by approximately 2×. The device charges efficiently even under dense forest canopy and in low-sun-hour mountainous terrain, supporting consistent position-data acquisition.
The LoggLaw G2RC is a GPS collar specially designed for Asiatic black bear (Ursus thibetanus japonicus). Built on the proven LoggLaw G2C platform, it solves — through purpose-built hardware — the operational risks specific to bear deployments: bear-characteristic scratching and tree-rubbing, and data loss after hibernation emergence or during bad weather.
Bear appearances in settlements and urban areas have increased nationwide in recent years, driven by poor mast years and shrinking buffer zones between human habitation and forest. This device goes beyond simple position tracking: combining capture-and-fit with learning-release (aversive conditioning) and geofence-enforced re-learning, it enables a coexistence-oriented bear-management program that does not rely on lethal control.
This page covers the G2RC's purpose-built design, the three-step learning-release process, secondary data uses (den identification and hotspot analysis), use cases, and deployment record.
Bear appearances near settlements are hard to predict from visual surveys and resident interviews alone, and responses end up reactive. The LoggLaw G2RC provides the data required for appearance monitoring, learning-release, and re-learning enforcement:
Integration with Animal Portal triggers an auto-email at the moment a collared bear reaches a registered protected location (home, school, settlement boundary), at three distance bands (Critical 300m / Warning 600m / Caution 1,000m). Resident notification, deterrence, and stakeholder coordination can begin immediately.
Continuous GPS tracks reveal which routes a bear uses to enter settlements and where it spends time. Use this to identify attractants — orchards, apiaries, garbage collection points, unmanaged fruit trees — and prioritize buffer-zone work and removals.
Default is several daily fixes. During peak appearance periods or active urban approaches, switch remotely to a high-frequency mode (2-minute GPS fixes / 5-minute uploads) — driving initial-response decisions for emergency shooting, deterrence, and road closures on finer-grained data.
Asiatic black bears have clear seasonal cycles: spring den emergence, summer habitat use, autumn hyperphagia, winter hibernation. Annual GPS data predicts the timing and locations of elevated appearance risk — so heightened alert can be staged ahead of peak periods.
Building on the LoggLaw G2C platform, the G2RC addresses three operational risks long faced by bear-tracking programs — scratching and tree-rubbing, and data loss after hibernation or in bad weather — through purpose-built hardware.
A purpose-built reinforced belt dramatically reduces loss and damage risk from bear-characteristic scratching and tree-rubbing. The housing uses impact-resistant resin; the belt uses high-abrasion-resistant reinforced material.
Battery capacity is increased by approximately 2× over the baseline platform, providing the stamina to operate reliably through hibernation emergence and prolonged bad weather, and enabling long-term monitoring.
On-board solar generation is increased by approximately 2×. The device charges efficiently even under dense forest canopy and in low-sun-hour mountainous terrain. The solar panel is optimally positioned on the top surface, securing a workable light-collection angle even when the bear is lying prone — maximizing in-forest charging efficiency.
Built on the reliable LoggLaw G2C platform with reinforced belt, large-capacity battery, and high-efficiency solar integrated. LTE-M cellular connectivity combines real-time monitoring with long-term operation — purpose-built for Asiatic black bear deployments.
| Base platform | LoggLaw G2C platform |
|---|---|
| Target species | Asiatic black bear (Ursus thibetanus japonicus) — purpose-built |
| Communication | LTE-M (Cat-M1) / NTT Docomo & Softbank 4G coverage |
| Positioning | GPS / GNSS (~20m accuracy) |
| Battery capacity | ~2× baseline / stable operation through hibernation emergence and bad weather |
| Solar generation | ~2× baseline / charging under dense canopy and in low-sun-hour terrain |
| Belt strength | Reinforced (Asiatic black bear specific; scratching & rubbing resistant) |
| Monitoring platform | Animal Portal (PC & mobile / cloud-based real-time monitoring) |
Real tracks from Asiatic black bears fitted with the LoggLaw G2C platform. Data is automatically uploaded over LTE-M and visualized as home range, approach routes, and settlement-approach events on Animal Portal.
The G2RC's true value emerges through a three-step process after fitting: Learn → Monitor → Re-learn. In learning-release — returning a captured bear to the mountains rather than culling it — a GPS collar is indispensable. Continuous post-release monitoring plus re-approach alerts grow a bear that learns to stay away from human settlements.
Capture and tranquilize the bear that appeared near a settlement, and fit the LoggLaw G2RC GPS collar. Immediately before release, deliver a strongly aversive experience — loud noises, deterrent spray — so the bear learns that "human areas are frightening places." Then release the bear back into the deep mountains.
Track the released bear's position continuously on Animal Portal. Verify remotely, around the clock, whether the bear has truly settled in the mountains — or is heading back toward human areas.
Early detection: If the bear does return, a geofence ("virtual boundary line") placed just outside the settlement immediately triggers an alert. Immediate response: Field staff move in before any damage occurs and deter the bear with fireworks or similar — reinforcing the message that "this place is dangerous after all," preventing the bear from re-establishing in human areas.
Representative use cases of the LoggLaw G2RC in municipal and research bear-management deployments.
Fit the LoggLaw G2RC on captured individuals during learning-release. Continuously track post-release position; on re-approach, geofence alerts trigger early detection. Deter the bear with fireworks or similar to enforce re-learning, preventing the bear from re-establishing in human areas.
Register protected locations — homes, schools, fields, settlement boundaries — on Animal Portal, and a proximity alert auto-emails registered users when a bear reaches three distance bands (Critical 300m / Warning 600m / Caution 1,000m). Information flows immediately to residents and stakeholders.
On detecting an urban approach, switch the device to high-frequency mode (2-minute fixes / 5-minute uploads) and share position data in real time with police, fire, municipality, and stakeholders — supporting decisions on road closures, deterrence, and emergency shooting.
Analyze where a bear lingers on the map — orchards, apiaries, garbage collection points, unmanaged fruit trees — and prioritize buffer-zone work, electric-fence installation, and attractant removal.
Concentrate monitoring on collared bears during periods of elevated appearance risk — spring den emergence and autumn hyperphagia. Stand up resident-notification and alert protocols ahead of these windows. Annual data also reveals each individual's cycle.
Asiatic black bear behavioral ecology, human-wildlife interface, attractant use, anthropogenic-impact studies — used in research collaborations as well. As a Kyoto University-affiliated manufacturer, we support consultations from the study design stage onward.
The behavioral data accumulated by LoggLaw G2RC and Animal Portal goes beyond position tracking. Identification of hibernation sites (dens) and hotspot analysis scientifically reduce wildlife-damage risk across the region.
Identify den locations from where GPS data settles or just before communication drops out. Use this for accident prevention (alerting forestry workers) and for spring alerts (notifications at the moment of emergence).
Identify locations with high GPS-point density to discover attractants (abandoned fruit trees, garbage) and optimize countermeasures (electric-fence placement).
GPS collars for bear vary significantly in operational feel depending on the communication scheme. The criteria below matter most for bear-appearance monitoring and rapid response.
| Criterion (for bear ops) | Base-station bear GPS collar | Direct LTE-M bear-specific GPS collar (LoggLaw G2RC) |
|---|---|---|
| Instant detection of urban approach | Constrained by transmission interval and base-station range | Real-time cellular upload with Proximity Alert integration |
| High-frequency tracking when needed | Fixed transmission intervals on most models | Remote switch to 2-minute fixes / 5-minute uploads |
| Wide-ranging movement | Data gaps outside base-station range | Continuous capture across LTE-M coverage |
| Operator infrastructure | Local base station, power, maintenance | Cloud only; no field infrastructure |
| Re-capture burden (power) | Re-capture required at battery end-of-life | ~2× battery + ~2× solar minimizes re-capture |
| Belt durability | Generic belts on most models | Asiatic black bear specific reinforced belt (scratch & rub resistant) |
| Learning-release / re-learning | Geofence integration varies | Geofence-triggered re-approach alerts |
| Subsidy (Japan) | Varies by product | Wildlife Damage Prevention Comprehensive Subsidy eligible |
* The comparison above describes general characteristics of the two communication designs and is not exhaustive of any specific vendor's product.
The LoggLaw G2C — the base platform for the G2RC — is deployed across 25 prefectures and 65+ municipalities, research institutions, and companies as of May 2026. This includes deployments on Asiatic black bear for appearance monitoring and behavioral research. The G2RC builds on this track record with a purpose-built design for bear operations.
Eligible under the Japanese Ministry of Agriculture, Forestry and Fisheries' Wildlife Damage Prevention Comprehensive Subsidy program. Based on the municipal damage-prevention plan, costs for the LoggLaw G2RC bear collar may be covered by the subsidy. Please contact your municipal office or local agricultural office for details.
Data from the LoggLaw G2RC is visualized on Animal Portal: map-based visualization, KDE home-range calculation, simultaneous management of multiple individuals, sighting-information sharing, and capture-report management. Along with proximity alerts at three distance bands (Critical 300m / Warning 600m / Caution 1,000m), a geofence ("virtual boundary line") set on the map triggers an instant alert to the operator's PC or smartphone the moment a bear crosses it — providing the response window of several kilometers before any damage occurs, an essential capability for the re-learning step of learning-release. CSV / GeoJSON export and PDF reports are supported.
Learn more about Animal PortalFull guide to selecting a GPS collar for monkeys, deer, and bears — communication, power, subsidy use.
Learn moreDetailed specifications for the LoggLaw G2C — the base platform for the G2RC — covering communication, power, and waterproof rating.
Learn moreThe operations cloud for the LoggLaw G2RC — proximity alerts, geofence, map visualization, multi-individual management, sighting sharing, capture-report management.
Learn moreWe support municipalities and research institutions in tailoring the LoggLaw G2RC deployment to the bear-appearance hotspots, resident-notification workflow, and stakeholder coordination — including learning-release / geofence re-learning workflow design, subsidy use, and field trials. We can also provide product demos and proposal materials at no cost. Please get in touch.