RavenEye is an enterprise-grade artificial intelligence and computer vision platform engineered by Prime Origin. It transforms raw camera streams into sub-second, actionable intelligence—automating factory defect inspection, perimeter security, and worker safety compliance.
RavenEye deploys seamlessly across edge computing modules, on-premise industrial appliances, or centralized private clouds.
High-speed conveyor and assembly line inspection detecting microscopic scratches, welding flaws, uneven coatings, or component misalignment down to fractions of a millimeter.
Instant alerts for safety violations: missing hard hats, safety vests, boots, unauthorized restricted-zone breaches, and worker proximity to heavy machinery.
Transform passive surveillance cameras into proactive defense assets: perimeter loitering alerts, automated license plate recognition (ALPR), and anomaly triggers.
Runs offline directly on NVIDIA Jetson Orin, Intel OpenVINO, or industrial IPCs. Zero dependence on internet bandwidth for mission-critical millisecond decisions.
Direct integration via Modbus, OPC-UA, MQTT, or dry contact relays to mechanically reject defective items off the production line in real time.
Real-time scrap rate tracking, defect heatmaps, shift comparison reports, and automated incident logs exportable directly to your ERP.
We conduct targeted proof-of-concept deployments with your actual camera feeds and physical parts before full commercial rollout:
We collect representative defect samples and good product imagery from your production line.
Our AI engineers train domain-specific convolutional layers to achieve >99% precision.
We install an edge box connected to your local cameras and validate detection speeds live.
Consult with our Cairo computer vision team. No public price lists—every deployment is tailored to your camera count and defect classes.