AtroLab

Computer Vision Studio

AtroLab

Vision systems for the real world.

Detection, tracking, segmentation, and analytics — engineered for production lines, cameras, and edge devices.

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AtroLab computer vision systems

Capabilities

Built for demanding operations.

Capability areas drawn from hands-on team experience across industrial lines, transportation systems, retail floors, safety-critical sites, medical imaging, and edge hardware. Each area reflects pipelines we know how to scope, train, integrate, and keep running in production.

Detection · Segmentation

Industrial inspection & sorting

Real-time vision on production lines: defect detection, product grading, and hardware-synced ejection for high-throughput sorting.

  • Surface and body defect detection on moving product
  • Multi-camera capture with encoder synchronization
  • TensorRT / LibTorch paths for high-throughput inference
Industrial inspection & sorting
Tracking · GIS

Road & infrastructure analytics

Video analytics for roadway assets and defects — from traffic objects to pavement condition — built for large annotation and model fleets.

  • Asset and defect detection across highway scenes
  • Depth-assisted distance and area estimation
  • Operational logging for maintenance review
Road & infrastructure analytics
Emotion · Tracking · OCR

Human-centric & retail vision

People understanding across cameras: emotion and body-language signals, store tracking, and shelf stock awareness.

  • Facial emotion and expression analysis
  • Cross-camera people tracking indoors
  • Shelf stock and product presence detection
Human-centric & retail vision
Detection · Alerts

Industrial safety & process monitoring

Always-on monitoring for hazardous environments — PPE compliance, flare and smoke status, and environmental cues.

  • PPE compliance checks across sites
  • Flame and smoke detection for process flares
  • Event logging for operators and safety teams
Industrial safety & process monitoring
Segmentation · Detection

Medical imaging assistance

Computer-vision assistance for clinical imaging workflows where speed and consistent detection matter.

  • Structure detection in diagnostic imaging
  • Segmentation for measurement support
  • Annotation tooling for faster datasets
Medical imaging assistance
Jetson · TensorRT · Qt

Edge AI deployment

Production software stacks that run reliably on edge hardware — from prototype to 24/7 operation.

  • Jetson, Raspberry Pi, and Linux targets
  • ONNX / TensorRT optimization for live FPS budgets
  • C++/Qt and Python hybrid inference services
Edge AI deployment

Process

From sensor to production.

01

Scope

Cameras, hardware, accuracy targets, and integration points — clarified up front.

02

Build

Data, models, and software iterated against your real streams.

03

Deploy

Edge or server deployment with monitoring and clear handover.

Lab notes

Notes from the lab.

Benchmarks, demos, and development updates as we publish them.

Browse all notes

Contact

Let’s add vision to your pipeline.

Tell us what you’re building. We scope quickly and deliver with documentation.

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