See industrial degradation before it becomes failure
Edge-AI visual inspection for electrochemical plants and industrial pipelines. Detecting corrosion, chemical leaks, and filter clogs on-device today — with a clear roadmap to remaining-life prediction.
★ / The problem
Three monitoring gaps in electrochemical plants
Sensors miss physical state
Process instrumentation captures voltage and current but cannot see the physical state of equipment. Coating wear, corrosion and structural drift develop in zones no sensor monitors.
Inspection means exposure
Chlorine atmospheres, caustic streams and energised electrolytic cells create routine risk for technicians. Inspection cadence is set by safety procedure, not by asset need.
Faults stay invisible until they cascade
By the time a process variable shifts, the underlying defect — coating breach, pinhole leak, fouled membrane — has already progressed. Reactive maintenance dominates.
★ / The solution
An edge-AI layer that sees what fixed sensors cannot
VisionFlow runs computer-vision models on a compact edge box connected to your existing cameras. It detects corrosion and coating wear at pixel level, and is being extended to track degradation over time.
Only structured detections — fault class, location, severity, timestamp — are sent to your plant control layer over OPC-UA or MQTT. No new infrastructure, no cloud, no video uplink.
- Modality
- RGB (today) · Thermal + LiDAR (roadmap)
- Latency
- On-device inference
- Output
- Structured JSON detection results
How VisionFlow Works
From image capture to structured detection output
SCADA and CMMS integration via OPC-UA / MQTT is on the product roadmap — currently outputs via REST API.
★ / Specialized Capability
Toward Electrode-Life Intelligence
Beyond detection — toward predicting electrode coating life
DSA electrodes carry mixed-metal-oxide coatings rated for a defined service life. Our detection foundation (See) is operational today. Tracking and Prediction are on the product roadmap, designed to be built in partnership with an electrochemical operator who can provide the electrode imagery and operating data required to fine-tune the model.
See
Operational today
Pixel-level segmentation of coating wear and corrosion
Track
On roadmap
Per-electrode condition history over time
Predict
On roadmap
Forecast remaining coating life and optimal service window
Today: visual-only. Roadmap: fused with electrochemical cell signals.
★ / Industries & use cases
Target industries
Primary focus
Electrochemical & chlor-alkali plants
Electrode coating wear, cell condition surveys, busbar visual inspection, and hazardous-area coverage where manned entry is restricted.
Municipal water treatment
Filter-bed clogging, chemical leak detection, and structural corrosion on intake screens and clarifier components.
Our detection foundation is industry-agnostic. Adjacent sectors — desalination, industrial cooling, chemical processing, and oil & gas — share the same underlying capability and are on the application roadmap.
★ / Why VisionFlow
Built for Industrial Reality
Designed around the constraints of real plant environments
Faster Than Manual Inspection
From image upload to severity score and annotated output — without sending a technician into a hazardous zone.
No Cloud Dependency
All inference runs on-device. No video ever leaves your facility. Full data sovereignty.
Zero New Infrastructure
Designed to work with existing plant cameras. Pilot deployment scoped at 3–5 inspection points; no new camera infrastructure required.
SCADA/CMMS Ready by Design
Structured JSON outputs via REST API today. OPC-UA and MQTT integration for Siemens, Rockwell, and Schneider on the near-term roadmap.
★ / Live demo
Sample Detection Output
Screen capture of corrosion detection on an industrial pipeline image — the interactive tool is available below
What you'll see:
- Corrosion severity scoring (0-100)
- YOLOv8 pixel-level segmentation
- Chemical leak risk classification
- Filter clog flow reduction estimate
- Annotated image download
Ready to test on your own imagery?
Try Live Demo →No sign-up required · Instant results
★ / Deployment
Two ways to deploy — same AI core
Phase 1 — Edge Box
Connects to existing plant cameras. Pilot scoped at 3–5 inspection points. Outputs structured JSON detection results via REST API.
Phase 2 — Autonomous Robot
Mobile patrol platform for full-coverage autonomous inspection. Same AI core, scaled to robotics once value is proven.
Start with the edge box — proven today. Scale to autonomous patrol when value is proven.
Where we are
Live today — and looking for the right pilot partner
Our detection foundation is live and publicly testable right now — corrosion scoring, chemical leak classification, and filter clog analysis all run in the browser demo, on-device. The next step is a structured pilot on real plant imagery with an industrial partner: the move that turns a working demo into a validated, site-tuned capability. If that sounds like your facility, we'd like to talk.
★ / Contact
For technical evaluation, partnership discussion, or to schedule a controlled demonstration on representative imagery, please use the form or write directly.