Real-time industrial computer vision that detects defects, blockages, and process deviations the moment they form, triggering automated plant responses in under a second.
In-Sight Vision is a purpose-built industrial computer vision system. It trains deep learning models on your specific environment, your materials, your machines, your failure modes, and deploys them at the edge for sub-second, always-on detection.
Unlike off-the-shelf vision systems, In-Sight Vision is custom-trained from the ground up on your site's data. The models learn what normal looks like in your operation, and alert the moment something deviates.
And it integrates directly with your plant control systems, so detection isn't just a dashboard notification. It triggers the right automated response, immediately.
Live camera feeds are connected to the edge inference system, covering every critical point in the process where visual inspection is needed.
The trained deep learning model analyses every frame in real time, identifying the specific objects, defects, or conditions it was trained to find.
When a detection event occurs, the system triggers configurable alarms, dashboard alerts, SMS, email, and direct PLC integration for automated plant response.
New detections are captured and fed back into the model training pipeline, continuously improving accuracy as your process evolves.
In-Sight Vision handles the full computer vision lifecycle, from custom model training to edge deployment and continuous improvement.
Every deployment is trained from scratch on your site's images. We capture, annotate, and train a model that understands your specific materials, equipment, and failure signatures.
Models run at the edge, directly at the camera and point of inspection. No round-trips to the cloud. No latency. Detection in under 1 second, even in low-connectivity environments.
Detection events trigger direct signals to your PLC, enabling automated plant responses like conveyor stops, alarms, or divert gates. No operator intervention required.
We operate end-to-end on the training pipeline. At Richards Bay Minerals, we collected and annotated 40,000+ training images, giving the model the variety it needed for high real-world accuracy.
The system never takes a break. No shift handovers, no fatigue, no missed detections. Every frame, every hour, inspected with the same precision, day and night.
All detection events are logged, timestamped, and visualised in a live dashboard. Trend analysis, frequency reports, and historical review, giving you visibility into how your process is performing.
Richards Bay Minerals faced up to 4-day production shutdowns from undetected calcrete blockages forming in their pond pump operations. The problem was invisible until it was too late.
Excite-Data deployed In-Sight Vision on the pond, training a custom model on 40,000+ annotated images and integrating directly with the plant's PLC infrastructure. The system now detects calcrete formation in under 1 second, 24/7, triggering automated responses before blockages form.
Read the Full Case StudyAny industrial process where visual inspection currently relies on a human eye is a candidate for In-Sight Vision.
Detect pipe blockages, pond obstructions, and conveyor pile-ups before they halt production. Proven at Richards Bay Minerals.
Identify surface defects, dimensional deviations, and assembly errors at line speed, with consistent accuracy that no human inspector can match across an 8-hour shift.
Automate cut-point identification on rolling mills and casting lines, recovering material and eliminating operator-dependent variation. Delivered R11M savings per year.
Automated label verification, barcode reading, and package integrity checks at conveyor speed, eliminating manual QC bottlenecks in dispatch and receiving.
Real-time detection of PPE compliance violations, hard hat, vest, and footwear, in restricted zones, triggering alerts before incidents occur.
Smoke, fire, overflow, liquid spills, visual anomalies that indicate process deviation. Detected automatically, before the damage compounds.
Book a discovery call. Tell us about your process and what you're trying to detect, we'll tell you honestly whether In-Sight Vision is the right fit and what a deployment would look like.