Computer Vision

Vision Without the Friction

From quality inspection to security, Cyberwave equips teams with the tooling and infrastructure to launch computer vision solutions fast. The same stack supports both traditional perception models and newer vision-language capabilities, so teams can move from narrow, single-purpose detectors to richer visual understanding over time.

Object Detection

Locate and classify objects with bounding boxes

PeopleVehiclesEquipmentDefects

Segmentation

Pixel-level understanding of scenes and objects

Instance masksSemantic labelsPanoptic

Classification

Categorize images and regions into classes

Quality gradesAsset typesConditions

Anomaly Detection

Identify deviations from normal patterns

DefectsIntrusionsUnusual behavior

Vision-Language

Natural language queries over visual data

Grounded QAScene descriptionSearch

Tracking

Follow objects across frames and cameras

People trackingAsset trackingCounting

Prebuilt Vision Skills

Production-ready models for common use cases—deploy in minutes, not months.

PPE Detection

Helmets, vests, gloves, goggles

Zone Intrusion

Detect people in restricted areas

Fall Detection

Identify fallen workers

Fire & Smoke

Early hazard detection

Dataset Operations

End-to-end data management for vision AI

Labeling

Integrated annotation tools with AI-assisted labeling

Augmentation

Automatic transforms for robust model training

Drift Detection

Monitor data distribution shifts in production

Governance

Version control, lineage tracking, access policies

Where to Run Inference

Choose edge or cloud based on latency, bandwidth, and model size requirements.

Edge Inference

<50ms latency

Works offline

Data stays local

Real-time processing

Best for: Safety-critical, low-latency, privacy-sensitive workloads

Cloud Inference

Large models

Aggregation

No hardware limits

Easy scaling

Best for: Batch processing, large VLMs, cross-site analytics

Continuous Learning

Operator corrections automatically improve models through the feedback loop.

Detection

Operator Review

Correction

Auto-Retrain

Deploy Update

Workflow Integration

Vision detections trigger automated workflows—not just alerts, but real actions.

Defect detected → Alert quality team + halt line

PPE violation → Sound alarm + log incident

Intrusion detected → Lock doors + notify security

Inventory low → Create purchase order

Why Cyberwave for Vision

Deploy prebuilt models or train custom detectors on your data

Continuous learning from operator corrections improves accuracy over time

Run inference at the edge or cloud based on latency requirements

Trigger automated workflows from vision detections