Use Cases

Packaging defects are a major driver of OEE quality losses, yet many go undetected until it’s too late. Real-time packaging defect detection using existing factory CCTV enables consistent quality control across the line, catching defects early and preventing waste, rework, and downtime.

Manual OEE reporting hides the biggest performance losses on the line. Real-time OEE monitoring using existing factory CCTV, exposes microstoppages, slowdowns, and performance drift as they happen, enabling immediate corrective action and measurable OEE improvement.

Real-time forklift safety monitoring that uses AI and existing CCTV to enforce the 3-meter rule, reduce near misses, and improve workplace safety compliance.

Quality assurance and quality control in industrial bakery operations using real time camera monitoring to detect defects early, reduce waste, improve OEE, and deliver root cause insight across production lines.

Bakery line product monitoring with SKU accuracy using real time camera intelligence to classify products, reduce manual reconciliation, expose SKU driven OEE losses, prevent mixed batches, and improve quality consistency across high speed production lines.

Reduce microstoppages with downtime monitoring solutions. Gain real-time visibility, identify root causes, and increase efficiency without new hardware.

Real-time bakery equipment monitoring for industrial baking detects early dough build-up, reduces downtime and waste, stabilises performance, protects quality, and improves OEE across production lines.

Efficient bakery production line visibility using real time camera monitoring to remove blind spots, improve availability, stabilise performance, prevent quality losses, and lift OEE across high speed baking operations.

Implementing HGV truck load safety measures and protocols is imperative to mitigate risks, prevent injuries, and safeguard lives.

Sinter plant condition monitoring using real time camera detection to identify firebar, sidewall, and seal pad defects early, reduce downtime, stabilise gas flow, protect OEE, and improve blast furnace performance.

Final inspection monitoring that improves labor efficiency by detecting operator inactivity, packing delays, and bottlenecks before they impact production throughput.

The pre-batch step in food manufacturing is to ensure food products are made up of the right quantities of the right ingredients

AI offers a comprehensive view of the entire production process, enabling quicker identification and rectification of quality issues

Real-time productivity monitoring across factory workstations using AI and existing CCTV to track operator activity, identify idle time, and improve labor efficiency and compliance.

VisionTrack offers an advanced computer vision solution tracking to help organizations reduce agricultural fraud with AI.

Manufacturing organizations rely on expensive, critical machinery to maintain optimal production levels and profitability.

The visionAI system requires significantly less staff, produces more accurate results, and forms the backbone of an integrated system that affects more than just the bread stock losses.

Quality assurance for food manufacturing defect detection using real time camera monitoring to identify empty and underfilled pies, reduce waste, improve consistency, and stop defects before they move downstream.