Image Processing Solutions

Our manufacturing-inspection solution is deployed across automotive, food and beverage, packaging, electronics and pharmaceutical environments. It combines a calibrated capture stack — camera, lens and lighting recommendations matched to your line speed and surface characteristics — with a hybrid classical-and-deep model pipeline tuned for the defect classes that matter to your quality function.

The system runs on industrial PCs at the edge, with sub-millisecond decision latency where line speed demands it. It handles common operational realities — soiling, vibration, mixed product variants on the same line — and surfaces calibration-drift warnings before they become quality incidents. Operators interact with it through a touch-friendly local interface; quality leaders consume aggregated views through a central dashboard.

Deployment typically takes six to ten weeks from line survey to production cut-over, including a parallel-running validation phase against the existing inspection process. Long-term operations are supported by a retraining workflow that absorbs corrected cases from operators back into the next model version, with formal review before each promotion.

• Camera, lens and lighting reference designs
• Hybrid classical + deep inspection models
• Edge inference on industrial hardware
• Drift, calibration and quality monitoring
• Operator and quality-leader interfaces
• Closed-loop retraining workflow

Our document-understanding solution turns inbound forms, invoices, statements, contracts, identity documents and freeform correspondence into structured, validated data. It combines layout-aware models for classification, region-of-interest detection for extraction, OCR for text recovery, and a rules layer for validation against business constraints (totals match, dates are plausible, references resolve to live records).

Each extracted field carries a confidence score; low-confidence cases are routed to a human reviewer through a purpose-built interface, and the reviewer's correction becomes a labelled training example that improves the model over time. Net straight-through processing rates typically reach seventy to ninety per cent for well-structured document classes within the first six months.

The solution integrates into common document-management environments and into back-office workflow tools, so that the structured output flows directly into the systems that consume it rather than into another dashboard.

“Productised does not mean inflexible. It means starting nine months ahead of where bespoke would.”

Our healthcare imaging support solution is deliberately positioned as triage and prioritisation rather than diagnosis. It scores incoming studies against criteria defined by the radiology lead and surfaces those most likely to contain time-critical findings, so that human reviewers can spend the right minutes on the right cases. The system is explicit about what it does not do, and is designed to support — not replace — clinical decision-making.

Compliance is taken seriously. Deployments are scoped against the appropriate medical-device and data-protection regimes, with audit trails on every decision the system reaches and explicit human-in-the-loop checkpoints. We work alongside clinical safety officers and information-governance teams from the first conversation, not as a sign-off step at the end.

Our retail solution turns shelf imagery — captured by store-team mobile devices, fixed cameras or third-party services — into operational signals: gaps, misplaced products, planogram compliance, share-of-shelf against competitors, pricing inconsistencies, promotional execution. Output is delivered into the systems that already drive store operations, so that issues identified during a store visit appear in the right team's task list before the end of the same shift.

The accuracy that matters here is operational accuracy: not whether the model identified every product correctly, but whether the resulting tasks were the right ones to act on. We measure and tune for that explicitly, and we include feedback loops from store teams that reduce false alarms over time.

Our video-analytics solution provides loitering, crowd-density, intrusion and unattended-object detection across operational environments — transport hubs, large venues, critical infrastructure. It runs on existing CCTV streams where image quality permits, with on-prem inference servers or appropriately-secured cloud deployments depending on the regulatory context.

Privacy-by-design is the default. Faces and number plates are masked unless a specific lawful basis warrants their retention; alert footage is retained only for the period required by the relevant policy; access controls are role-based and audited. Deployments are scoped jointly with privacy and security functions, and we will decline use cases that we cannot deliver responsibly.