Raw video from UAVs and manned aircraft still has to cross the same narrow pipes. Installers wiring mobile command posts know the first thing that drops is the link between encoder and radio head. Edge processing only matters if the box survives dust, vibration, and power glitches that show up once the truck is parked in a field. Most crews learn this the hard way after the second deployment.

Edge
Image: official-og

Cable Runs to the Radio Head The critical path remains the short hop from camera or recorder to the transmit unit. Adding an edge AI appliance in the middle means another power draw and another point that can overheat inside an equipment case already packed for transport. Field teams running helicopter downlinks usually mount the encoder in the same rack as the radio. Any extra box forces a redesign of airflow or forces longer SDI jumps that pick up noise. One recent county air-support install placed the inference card on a side bracket rather than the main tray; the move kept the SDI run under 18 inches and avoided a second cooling fan that would have pulled from the same 28 V rail already feeding the microwave transmitter.

Local Processing When Backhaul Drops Defense and public safety crews still need usable imagery when the sat link fails. Running object detection or change detection on the platform itself keeps the operator from staring at frozen frames. A wildfire spotter drone that tags hotspots before the feed leaves the aircraft gives ground crews something they can act on even if the central node is unreachable. The same logic applies to body-worn cameras feeding a forward command post. Latency stays inside the aircraft or vest instead of waiting for a return path that may never come back.

Retrofit vs New Builds Existing helicopter and ground-vehicle racks rarely have spare 1RU slots. Swapping an older encoder for one that carries AI inference often requires pulling the entire shelf and re-terminating every BNC and power lead. One crew working a county sheriff air unit found they could add a small inference module on the existing SDI loop-through instead of replacing the main chassis. The change cut install time from two days to four hours and left the original failover path untouched. Mounting required drilling four M4 holes in the tray and securing the 28 VDC pigtail with 50 lb Panduit ties routed 2 inches clear of the video lines.

Thermal Management in Enclosed Racks Most mobile racks sit inside composite or aluminum enclosures that trap heat once doors close. Inference cards running full frame rate push junction temperatures past 85 °C inside thirty minutes if airflow is blocked. Technicians who add a 40 mm fan on the card's heatsink often forget that the fan itself adds another 3 W draw and another failure point when dust packs the blades after a week in the desert.

What Fails at Channel Count Four simultaneous 1080p streams stay manageable. Once the payload climbs to eight or ten sources the encoder thermal load and the inference queue both climb fast. Technicians testing on a bench with two cameras rarely see the queue back up until the rig is already in the truck. Worth running a spare machine through a full eight-hour cycle with the actual camera count before the vehicle rolls out. - Verify 12 V and 28 V rail capacity before adding the AI card - Keep one SDI loop-through path free of any processing for emergency bypass - Log encoder temperature after the first 90 minutes of continuous operation Plan the BOM around the existing radio and power distribution first. Then test the full signal path on a bench that matches the vehicle layout before final rack integration.