BisonGuard

A herd spread across open range is effectively invisible between inspections, and the most dangerous thing it can do is wander onto a road. Vehicle–wildlife collisions kill animals, wreck vehicles and injure people, and by the time anyone knows a herd has drifted toward a transportation corridor it is usually already too late to act. Conservation teams and rangers needed to see where animals are continuously, not at whatever interval someone can drive out and check.

BisonGuard is a command centre for a monitored range. IoT sensors, drone surveys and GPS collars feed a live picture of the herd, and a computer-vision layer runs detection across every camera in the network — classifying what it sees, counting what is in frame, and tracking individuals between sightings. Operators watch the feeds live, get alerts routed into an incident queue with SLA timers attached, and can replay any recording afterwards. On top of the live layer sits the analytics: population intelligence over time, distribution across zones, and predictive signals that flag a herd drifting toward a corridor before it reaches one.

Monitoring moved from periodic inspection to continuous watch. The same detection pipeline that tracks herd health also serves as an early-warning system for collisions, so one platform covers both conservation and road safety.