Solutions overview
AI Solutions for Industrial Intelligence.
Three application families, each engineered around a different industrial question: is this safe, is this correct, and what is actually happening?
Human Safety & Collision Avoidance
The problem
People, mobile equipment and machinery share the same floor space. Sightlines are blocked, aisles are narrow and attention is finite — so unsafe interactions are usually noticed after they happen, not while they are developing.
Our approach
Coreal builds vision-based perception that observes those shared spaces continuously: detecting people and vehicles, understanding where they are relative to defined zones, and raising awareness so operators and supervisors can act earlier.
- Person, vehicle and obstacle detection
- Configurable zones and boundaries
- Tracking and approach awareness
- Operator alerting and supervisor notification
- Event records for review and improvement
Human SafetyTarget applications
- Forklift and AGV traffic areas
- Man–machine shared workspaces
- Restricted and hazardous zones
- Loading bays and dock areas
- Robot cell perimeters
- Plant roadways and intersections
Machine Vision & Quality Inspection
The problem
Manual inspection is inconsistent at speed, and rule-based vision struggles with variation in surface, lighting and part presentation. Defects escape, good parts are rejected, and the reasons are rarely recorded.
Our approach
Coreal combines industrial imaging with AI analysis to judge parts against the condition that actually matters — defect, tolerance, presence, marking — and to keep a record of every decision for engineering review.
- Defect detection and classification
- Non-contact dimensional verification
- Presence, orientation and assembly checks
- Code, label and print verification
- Inline monitoring with quality data capture
Machine VisionTarget applications
- Machined and cast component inspection
- Assembly station verification
- Surface and finish inspection
- Packaging and label verification
- Weld and joint inspection
- End-of-line quality gates
AI Vision for Industrial Operations
The problem
Most plants already have cameras, but very little of what those cameras see becomes usable operational information. Events are reconstructed from memory instead of evidence.
Our approach
Coreal turns existing and new camera coverage into structured operational intelligence: what happened, where, when and how often — so operations and engineering teams can act on observation rather than assumption.
- Real-time visual monitoring
- AI-based event detection
- Process and state awareness
- Human and asset activity understanding
- Operational analytics and reporting
Industrial AI VisionTarget applications
- Production line monitoring
- Material flow and congestion
- Stoppage and downtime events
- Housekeeping and spillage detection
- Yard and warehouse activity
- Shift-level operational reporting
The perception stack behind every solution.
Imaging, perception, edge compute and industrial logic — selected per application rather than applied as a fixed platform.
AI Perception
Detection, tracking and scene understanding tuned for industrial conditions rather than curated datasets.
Computer Vision
Imaging, optics and lighting engineered around the part, the motion and the environment.
Edge AI
Inference close to the process where latency, bandwidth and continuity of operation matter.
Industrial AI
Rules, context and operational data models that turn detections into decisions and records.
Next step
Turn Industrial Vision Into Action.
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