The first risk-control layer for BuckVisionAI. This dashboard defines how the system downgrades or blocks risky hunts caused by bad wind, scent cone exposure, entry route contamination, exit route exposure, thermals, noise, and hunter pressure.
Intelligence Core HuntScore Logic Wind Risk Analyzer Movement Prediction LogicReport Intelligence Bridge Autonomous Scoring RunThe system should identify whether wind carries scent toward bedding, travel corridors, food sources, or expected deer approach routes.
Even a perfect stand can fail if the hunter crosses trails, contaminates bedding edges, or exposes movement before the sit starts.
Poor exits educate deer after dark and reduce future hunt quality.
Terrain, temperature, creek bottoms, ridges, and evening cooling can shift scent beyond basic forecast wind.
Recent intrusion, repeated sits, cameras checked too often, and obvious access routes reduce stand quality.
The system should recognize when rain, time, wind shifts, or low pressure can help recover a location after intrusion.
Wind & Access Safety Score = (Primary Wind Safety × 0.25) + (Entry Route Safety × 0.20) + (Exit Route Safety × 0.15) + (Thermal Reliability × 0.15) + (Pressure Safety × 0.15) + (Risk Recovery Factor × 0.10) Output: 0-39 = Do not hunt / high education risk 40-59 = Dangerous sit / only observe from distance 60-74 = Huntable with strict caution 75-89 = Clean setup 90-100 = Premium low-risk access and wind setup Automatic HuntScore Caps: - Wind into bedding: cap HuntScore at 59 - Entry crosses primary trail: cap HuntScore at 64 - Exit likely bumps deer off food: cap HuntScore at 69 - Recent heavy intrusion: cap HuntScore at 69 - Unreliable thermals in hill country or creek bottom: cap HuntScore at 74
BuckVisionAI should protect the hunter from educating deer. If access, wind, thermals, or exit route risk are wrong, the system should recommend staying out even when movement conditions look strong.