A converged OT-IT platform that merges Intelligent Computer Vision, sensor data, SCADA/PLC controllers and Agentic AI to revolutionise industrial environments. Designed for heavy industries, logistics, and critical infrastructure to transform passive monitoring into proactive, autonomous action.
Unlike traditional video analytics that only trigger alerts, IVAP closes the loop between detection and operational execution.
Seamlessly processes RTSP/WebRTC streams from edge smart cameras and NVR/Live video feeds.
Visual data is continuously correlated with real-time SCADA and PLC sensor streams, like pressure, torque, and vibration.
Powered by Generative AI and visual-language models to analyze situations, reason through metadata, and decide next steps.
Bypasses alerting delays to send overriding commands via industrial networks to safety PLCs, adjusting machinery or halting production.
Engineered to tackle the most demanding operational challenges in high-stakes environments.
Autonomous Hazard Mitigation
Detects localised hydrocarbon gas leaks via optical gas imaging and correlates them with SCADA pressure drops to identify blowout risks.
Instantly actuates Emergency Shutdown Valves and triggers deluge fire systems to prevent catastrophic blowouts.
Dynamic Smart Interlocks
Uses YOLO-v9 edge vision to detect humans entering "swing zones" and correlates this with crane load speed data to assess danger.
Bypasses standard alerts to write directly to the crane's safety PLC via PROFINET to execute a controlled emergency brake.
Predictive Potline Failure
Correlates localised thermal hotspots on smelting pots with historical electrical fluctuations to predict breaches.
Autonomously commands the control system to reduce amperage to prevent molten metal leaks and generates visual Digital Twin overlays.
Visual-Acoustic Pump Maintenance
Fuses visual confirmation of a leak with abnormal vibration frequencies from pump PLCs to determine if a mechanical seal has blown.
Automatically ramps up the VFD of redundant pumps while gracefully shutting down failing ones to maintain continuous city water pressure.
Zero-Defect Packaging
Spots millimetre-level cap misalignments and correlates them with drops in capping machine torque sensors.
Sends on-the-fly micro-adjustments to servo motor PLCs to increase capping torque, preventing thousands of wasted products.
For organisations demanding strict data sovereignty, IVAP provides a robust, fully private on-premise industrial AI architecture.
purpose-built object detection models at the edge to instantly filter feeds and generate metadata before it reaches the core. Coupled with a local MLLM servicing layer powered by Ollama—hosting open-weight models ensures all advanced reasoning and data processing remains completely on-premise to guarantee full data privacy.
Unlike standard computer vision systems, IVAP employs a Fused Multi-Modal Context. It actively ingests contextual data from factory manuals and P&ID diagrams, fusing this critical documentation with live video streams to generate highly accurate, context-aware operational insights.
The platform delivers an extensive, ready-to-deploy suite of analytical tools, including object counting, forbidden area detection, action recognition, and granular demographic analysis. These features instantly enable high-value enterprise applications ranging from facility usage analytics and predictive risk assessment to advanced security surveillance analytics.
Driven by an orchestration layer, the platform translates visual events into physical execution. Specialized agents can automatically trigger workflows based on complex scenario reconstructions, while an Autonomous Task Coordinator Agent creates vision-informed task plans to safely guide based on shared scene understanding.