// service_modules
Three Focused Computer Vision Services
Each module addresses a distinct category of visual intelligence challenge — select the one that matches your current need, or discuss a combined approach.
← Back to Home// methodology
How We Approach Each Engagement
Site Assessment
We begin by understanding your environment — physical setup, camera infrastructure, existing systems, and the specific visual problem to be solved.
Data Strategy
We assess your existing image samples, identify gaps, and plan a data pipeline — collection, labelling, augmentation — suited to your model requirements.
Training & Validation
Model development, iterative training, and structured validation against held-out test data — with a written validation report produced before deployment.
Deploy & Handover
Integration into your environment, go-live support, and a full documented handover — including model weights, configuration files, and maintenance guidance.
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Visual Inspection & Quality Control
Development of computer vision systems for manufacturing quality control — detecting defects, anomalies, and non-conformities on production lines. The service includes camera placement advisory, model training on client sample data, and integration with existing manufacturing execution systems. Suited for Malaysian manufacturers seeking more consistent inspection outcomes.
Key outcomes
- Defect detection at machine speed — independent of operator fatigue
- Consistent inspection criteria across all production shifts
- Documented defect categorisation with visual evidence logs
- MES integration for real-time quality dashboards
- Camera placement advisory included in scope
Engagement steps
Site visit and production line assessment — camera geometry, lighting, defect category inventory
Sample data collection and labelling pipeline setup
Model training, iterative refinement, and structured validation
MES integration and go-live with documented handover
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Object Detection & Tracking
Custom object detection model development for applications in retail analytics, warehouse management, and security monitoring. The engagement covers dataset preparation, model training and optimisation, and deployment in edge or cloud environments. Designed for organisations that need to understand spatial activity from video feeds.
Key outcomes
- Real-time object detection from existing camera infrastructure
- Multi-object tracking with persistent IDs across frames
- Zone occupancy and footfall analytics for retail or warehouse use
- Edge deployment option for on-site low-latency inference
- Alert and reporting outputs integrated with your existing tools
Engagement steps
Requirements review — target objects, tracking logic, deployment constraints
Dataset preparation and annotation for target object classes
Model training, optimisation for target hardware, and validation
Deployment, integration testing, and handover with documentation
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Image Classification & Tagging
Building image classification systems that categorise visual content for asset management, content moderation, and cataloguing purposes. Services include training data curation, model development, API integration, and ongoing model performance monitoring. Applicable to media companies, e-commerce platforms, and digital asset managers.
Key outcomes
- Structured categorisation of large image libraries at scale
- REST API integration for pipeline-based asset processing
- Custom taxonomy built around your content or product structure
- Ongoing monitoring to flag model drift over time
- Suitable for content moderation workflows with human-in-loop option
Engagement steps
Taxonomy design — define categories, review sample content
Training data curation and labelling quality assurance
Model development, fine-tuning, and validation testing
API integration, performance baseline documentation, and handover
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Choosing the Right Module
Use this matrix to identify which service aligns with your current need. Multiple modules can be combined in a phased engagement.
| Feature | Visual Inspection | Detection & Tracking | Classification |
|---|---|---|---|
| Best for manufacturing environments | — | — | |
| Retail & logistics applications | — | — | |
| Media & content management | — | — | |
| Camera placement advisory | — | — | |
| Edge device deployment | — | ||
| API integration | |||
| MES integration | — | — | |
| Starting price | RM 8,000 | RM 6,500 | RM 4,000 |
| Typical timeline | 8–14 weeks | 5–10 weeks | 4–6 weeks |
// shared_standards
Technical Standards Across All Modules
Data Security
All client data handled under NDA and PDPA-aligned practices. Secure storage during training, deletion or transfer at project close per your policy.
Performance Benchmarking
Every model is evaluated against agreed performance metrics — precision, recall, F1. Results documented in a written report delivered before production go-live.
Support Coverage
Post-deployment support terms discussed during scoping. Direct contact with the delivery engineers for questions or issues — no routing through a generic helpdesk.
Version Control
Model weights, configuration files, and training pipelines are version-controlled and handed over. Retraining from a documented baseline remains straightforward after handover.
Fixed Written Scope
Work begins from a written quote with defined deliverables. No scope adjustments without explicit client approval. No ambiguous billing.
Model Monitoring
Post-deployment accuracy tracking available across all modules. When drift is detected, we raise it proactively and propose a retraining schedule.
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Not sure which module fits your situation?
Send us a brief description of the visual problem you are trying to solve and we will advise on scope, feasibility, and the right starting point — without obligation.
Describe Your Challenge