AI that sees what humans miss.
AI systems that analyse images and video for quality control, safety monitoring, and automated inspection. Built for manufacturing, logistics, and facilities management using your own operational environment.
Computer vision for every operational challenge.
From production line inspection to safety monitoring, we build computer vision systems trained on your specific environment and integrated into your operations.
Production Line Quality Inspection
AI vision systems that inspect products on the production line at speed, identifying defects, dimensional variations, and surface anomalies that manual inspection misses or cannot keep pace with.
Site Safety Monitoring
AI that monitors CCTV and camera feeds for safety violations in real time. PPE compliance, restricted area breaches, unsafe behaviours, and near-miss events detected and alerted automatically.
Document Scanning and OCR
High-accuracy optical character recognition combined with AI document understanding. Handwritten forms, printed documents, and mixed-format paperwork digitised and structured automatically.
Logistics and Inventory Tracking
AI vision systems that track goods movement, verify shipment contents, read barcodes and labels, and update inventory records automatically as goods move through your facility.
Asset Condition Monitoring
AI that analyses images of physical assets to assess condition, identify wear, and predict maintenance needs. Drone, camera, or mobile device images processed to produce structured condition reports.
Retail and Space Analytics
AI vision analysis of retail environments, office spaces, and public areas to understand footfall patterns, space utilisation, queue lengths, and customer behaviour without capturing personal data.
From camera assessment to production deployment.
Use Case and Camera Assessment
We define the specific visual inspection or monitoring task, assess the existing camera infrastructure, and determine the image quality and volume required for an accurate model.
Training Data Collection
We work with your team to collect and label a representative set of images covering the full range of conditions the model needs to handle, including defects, anomalies, and edge cases.
Model Development and Validation
The computer vision model is developed and validated against held-out images. Accuracy, false positive rate, and false negative rate are all validated against your specific requirements.
Hardware and Integration
The model is deployed on appropriate hardware, whether edge devices at the point of inspection, cloud-based processing, or a hybrid approach. Integrated with your alerting and reporting systems.
Team Training and Handover
Your team trained on the system, including how to handle alerts, review flagged items, and provide feedback that improves the model over time.
Performance Monitoring and Retraining
Ongoing monitoring of detection accuracy, false positive rates, and missed defects. Regular model retraining as new defect types emerge or operating conditions change.
Computer vision delivering operational results.
Precision Manufacturer
A precision manufacturer needed to reduce defect rates on a high-volume production line where manual inspection was creating a bottleneck and missing 6% of defects.
Computer vision quality inspection system deployed. Defect detection rate improved by 94%. Manual inspection headcount redeployed to higher-value tasks. Line throughput increased by 22%.
Construction and Facilities
A facilities management company needed to monitor PPE compliance across 12 construction sites. Manual supervision was inconsistent and incidents were occurring on unsupervised shifts.
AI safety monitoring deployed across all 12 sites. PPE compliance rate increased from 71% to 96%. Near-miss incidents reduced by 58%. Reportable incidents reduced to zero in the monitored period.
Logistics Operator
A logistics operator was manually verifying shipment contents against manifests at goods-in. The process was slow, error-prone, and a bottleneck during peak periods.
AI vision system deployed at goods-in. Shipment verification automated. Processing time reduced by 76%. Discrepancy detection rate improved from 83% to 99.1%.
Ready to deploy computer vision AI?
Book a free site assessment. We will review your camera infrastructure, identify the highest-value inspection or monitoring use case, and scope a prototype you can validate before committing to full deployment.