Autonomy at the Edge
Modern drones use depth cameras and neural networks to interpret scenes, anticipate motion, and avoid obstacles without GPS. In dense forests or urban canyons, vision-first autonomy keeps flight paths smooth, steady, and surprisingly human-like in judgment.
Autonomy at the Edge
Compact AI accelerators now run detection, tracking, and mapping right on the aircraft, eliminating latency from cloud links. This means rapid response to changing conditions, fewer lost shots, and safer maneuvers when connectivity drops or interference spikes unexpectedly.
Autonomy at the Edge
During an orchard scan, a grower watched a drone re-route itself around overlapping branches, then rejoin its original line within seconds. Edge processing made the choice instantly, preserving data quality and saving time during a narrow weather window.
Autonomy at the Edge
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