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computer-vision ai machine-learning image-processing video-analytics deep-learning object-detection quality-control opencv pytorch

Computer Vision

AI-powered image and video processing solutions for industrial and commercial applications.

Computer Vision

Computer Vision Solutions

We develop computer vision systems that extract actionable insights from visual data. From real-time video analytics to complex image understanding, we build solutions that see and understand.

Beyond Detection

Modern computer vision goes beyond simple object detection—it understands context, tracks behavior over time, and makes intelligent decisions based on visual information.

Vision Pipeline


flowchart LR
    subgraph Input["Data Acquisition"]
        A[Camera/Sensor] --> B[Frame Capture]
    end

    subgraph Processing["Processing Pipeline"]
        B --> C[Preprocessing]
        C --> D[Model Inference]
        D --> E[Post-processing]
    end

    subgraph Output["Results"]
        E --> F[Detections]
        E --> G[Tracking]
        E --> H[Analytics]
    end

    subgraph Action["Response"]
        F & G & H --> I[Alerts]
        F & G & H --> J[Control]
        F & G & H --> K[Reports]
    end

    style Input fill:#e0f2fe,stroke:#0284c7
    style Processing fill:#fef3c7,stroke:#d97706
    style Output fill:#dcfce7,stroke:#16a34a
    style Action fill:#fce7f3,stroke:#db2777

    

Real-Time Video Analytics

ApplicationCapabilitiesIndustries
Object DetectionPeople, vehicles, products, custom objectsRetail, security, logistics
Activity RecognitionPose estimation, action classificationHealthcare, sports, safety
Anomaly DetectionUnusual patterns, eventsSecurity, manufacturing
Crowd AnalysisCounting, density, flowEvents, retail, transport

Industrial Vision

Quality at Scale

Automated visual inspection catches defects faster and more consistently than manual inspection—operating 24/7 without fatigue.
ApplicationDescriptionAccuracy Target
Defect DetectionSurface inspection, dimensional verification>99.5%
OCR & DocumentsText extraction, form processing>99%
Barcode/QRHigh-speed scanning solutions>99.9%
Assembly VerificationComponent placement validation>99%

Technology Stack

CategoryTechnologiesPurpose
FrameworksOpenCV, PyTorch, TensorFlowDevelopment and training
ModelsYOLO, EfficientDet, Detectron2Detection and segmentation
DeploymentTensorRT, ONNX Runtime, OpenVINOProduction inference
Edge HardwareJetson, Coral TPU, Intel NCSOn-device processing

Model Selection Guide

Model FamilySpeedAccuracyBest For
YOLOv8FastHighReal-time detection
EfficientDetMediumVery HighBalanced applications
Detectron2SlowerHighestComplex segmentation
MobileNetVery FastGoodEdge deployment

AR/VR/XR Development

Extended reality solutions combining computer vision with immersive experiences:

SolutionDescriptionApplications
Spatial Computing3D environment understandingNavigation, mapping
Mixed Reality TrainingInteractive learning environmentsIndustrial training
Virtual ShowroomsProduct visualizationRetail, automotive
AR MaintenanceGuided repair proceduresField service

Implementation Process

  1. Data Assessment: Evaluate existing imagery and define requirements
  2. Model Selection: Choose architecture based on accuracy/speed trade-offs
  3. Training & Optimization: Custom training with your data
  4. Edge Deployment: Optimize for target hardware platform
  5. Integration: Connect to existing systems and workflows
  6. Monitoring: Track accuracy metrics and model drift

Have a vision project? Let’s discuss how we can help.