Security Patrol Predictability Simulator
Watch a security robot patrol a facility floor plan on either a fixed repeating route or a randomized checkpoint order, place intrusion attempts timed against the learned pattern, and compare intrusion-success rates between fixed and randomized patrol scheduling.
A perfectly repeating patrol route is a rehearsed weakness: watch it once or twice and the exact moment of maximum unguarded time at any checkpoint becomes knowable in advance. This simulator puts a patrol robot on a six-checkpoint facility loop under two strategies — a fixed route that repeats the same order and timing every round, and a randomized patrol that visits the same checkpoints but shuffles the order and dwell time each round. Target a checkpoint, watch the "predicted next visit" countdown sharpen (or fail to sharpen) as rounds accumulate, then fire intrusion attempts — manually or automatically — and compare how the success rate of the exact same exploit strategy diverges between the two scheduling policies over many rounds.
Compare a security robot patrolling a facility on a fixed repeating route versus a randomized checkpoint order: target a checkpoint, watch the learned predicted-next-visit countdown, and fire manual or automated intrusion attempts to see how the same exploit strategy's success rate diverges between fixed and randomized scheduling over many rounds.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install