SVC // 11

Custom Perception & Tracking

Vision systems trained for your scene — not a benchmark. We build task-specific object, motion, and depth tracking, plus full situational-awareness pipelines that turn raw image and video streams into the structured signal your operation actually needs.

Request a Custom Demo →

▌▌▌ WHAT WE DELIVER ▐▐▐

DELIVERABLES

From raw pixels to actionable signal.

  • // CUSTOM OBJECT TRACKING Detection and persistent ID tracking trained on your objects — including the rare, partially-occluded, or visually similar cases generic models miss.
  • // MOTION TRACKING Optical-flow, trajectory, and behavior detection with per-actor histories and configurable event triggers.
  • // DEPTH & 3D Monocular or stereo depth estimation, point-cloud reconstruction, and metric calibration to your camera geometry.
  • // SITUATIONAL AWARENESS Scene-level reasoning — zones, perimeters, dwell times, crowd dynamics, anomaly detection — composed over the tracking layer.
  • // EDGE OR SERVER Models tuned to run where the pixels live: edge devices, on-prem GPU, or hybrid pipelines with bounded latency.
  • // ALERT & EXPORT Structured events to your alert bus, dashboard, or downstream system — plus annotated clip export for audit and review.

▌▌▌ REPRESENTATIVE ENGAGEMENTS ▐▐▐

DOSSIER

Selected work — redacted.

PROJECT // 8821 ACTIVE
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Camera estate perception layer

Custom tracking and zone-based alerting layered over an enrolled-camera estate, with operator-facing review tooling.

TRACKINGZONESNVR
Request Demo →CLASS // SECURITY
PROJECT // 9082 ACTIVE
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On-device vision tasks for desktop collaboration

Embedded vision ML for a Tauri desktop surface — runs locally, no cloud round-trip, no exfiltration risk.

ON-DEVICEVISION-MLDESKTOP
Request Demo →CLASS // COLLABORATION

▌▌▌ HOW WE WORK ▐▐▐

PROCESS

Frame. Train. Deploy.

  • // 01 FRAME Define the task in operational terms — what is a true positive, what is a tolerable false positive, where does the system live.
  • // 02 TRAIN Collect or curate footage, label deliberately, train against the task — not a generic benchmark — and evaluate on your own scenes.
  • // 03 DEPLOY Ship to edge or server, wire into your alert bus or dashboard, and instrument so accuracy is measurable in production.
Open a Channel → Other Capabilities