M Makzu Labs Consult

Services · Pillar B

Laparoscopy Analytics & Computer Vision

Perception layers that run on the surgical tower—not in the cloud—so overlays and safety logic stay inside the optical loop.

Real-time sterile field tracking

Edge GPU pipelines for laparoscopic feeds—quantized detectors and trackers tuned for smoke, glare, and OR lighting. Instrument pose and sterile-boundary logic update within sub-20ms budgets to support breach alerts and setup validation.

Surgical phase & milestone recognition

Temporal models that segment cases into phases and milestones for analytics, training replay, and OR dashboarding—feeding quality programs and turnover optimization without manual time-stamping.

Automated safety checklist verification

Spatial coordinate and collision engines adapted for suite setup—automated scorecards and objective logs that reduce RSI risk, standardize room readiness, and support automated verification of procedural checklists.

Read: The latency trap in surgical CV →

Diagnostic System

What is your current AI bottleneck?

Step 1 — Select the constraint blocking your OR or R&D pipeline.