Client /
04Vision AI · Edge AI · Streaming
Plato Systems
Plato needed video AI that survives the field, not the lab. We built edge-to-cloud streaming with live AI labels — sub-second delay on weak 4G.
Read the caseMeasured resultSub 1s latency over 4G networksThe number that mattered most.
How it works
Built for the field, not the lab.
Custom hardware, weak 4G, live AI, operator screens — one pipeline that stays sub-second when conditions are worst.
Edge-to-cloud / sub-secondBuilt fordelivery map / 01
delivery map / 0101
Edge inputTakes their camera feed as-is
02
4G uplinkUnder a second
03
AI streamLive AI labels
04
Operator UILoads 85% faster
<1svideo delay
75%+stream gain
8 hrshardware module
01 / Context
The challenge
Stream and label live video over weak 4G in under a second — integrating with their hardware, while the product kept changing fast.
02 / Delivery
What we did
- 01Built live 4G streaming in under a week — sub-second delay on weak signal.
- 02Added live AI labels on the stream, so operators see what is happening as it happens.
- 03Extended annotation for images and quick tagging, so training data keeps flowing.
- 04Cleaned streaming core for 75%+ gain — same hardware, much faster pipeline.
- 05Split servers so one failure can't take everything down — built for the field.
- 06Integrated their new hardware streamer in under a day — software adapted, not rebuilt.
- 07Shipped 3 front ends as product evolved, rebuilt once for 2x speed, cut load time 85%.
04 / Built with
GoPythonJavaScriptReactCVATWeb streamingGoPythonJavaScriptReactCVATWeb streamingGoPythonJavaScriptReactCVATWeb streaming
Ready when you are
Have something to ship?
New build or painful fix — send a few lines. You'll get an honest plan and cost range within 1 business day. No pitch, no pressure.