Catch a fleet-wide drift before standup.
Golden-hour sun drops confidence on every dock lens at once. In your queue before the morning shift.
The pipeline behind your cameras — we catch the moment one stops telling the truth.
Most platforms help teams launch computer vision.
Upstream helps teams trust it once it's running.
The question we answer:does it still work next Tuesday at 7 PM in February rain, on the camera you actually have?
Datadog watches infrastructure. Sentry catches software errors. Upstream watches whether your computer vision still tells the truth.
One frame becomes one observation: class, box, confidence, track id.
YOLO11L on real warehouse footage. Each box is a tracked person, straight from the model's output.
People further from the camera go undetected. Other tracks jitter — boxes flicker, ids flip as bodies overlap.
RTSP, WebRTC, ONVIF — whatever your camera speaks. Every session checked for the right codec, resolution, and FPS.
Your model on our runtime. Every detection tagged with its track id, confidence, and model version.
Rules are versioned files, not buttons. Test a change against thirty days of footage before you ship it.
Every camera sorted healthy, needs-review, or critical. You see drift start here — before it reaches your pager.
Online, but returning a flat, empty image.
Confidence drifted 0.92 → 0.68 over six hours.
Golden-hour backlight saturating the lens; quality at 0.58.
We’re only showing what needs your attention.
The rest were handled automatically.
Golden-hour sun drops confidence on every dock lens at once. In your queue before the morning shift.
Replay a noisy rule over 30 days of footage. Fewer false alerts, zero missed PPE events.
A wrapped camera, online but blind. We flag it before the next shift change.
We're onboarding a few facilities through 2026. If a camera has been lying to you, we want to hear about it.