Computer Vision Solutions

Our Methodology

We structure computer vision engagements around three core offerings designed to address different stages of implementation. Organizations new to visual AI typically begin with a feasibility study to evaluate whether computer vision suits their specific requirements. Those with established viability proceed to custom model development, and projects requiring operational deployment utilize our integration services.

This phased approach allows decision-making at appropriate points rather than committing to full development before understanding feasibility. Each offering has defined scope, deliverables, and pricing, enabling you to plan investments according to actual requirements rather than following predetermined packages.

Throughout all engagements, we prioritize transparent communication about capabilities, limitations, and realistic expectations for what computer vision can achieve given your specific data, environmental conditions, and accuracy requirements.

Visual AI Feasibility Study

RM 2,200

An exploratory engagement to determine whether computer vision is a suitable approach for your specific use case, whether that involves quality inspection, object detection, document processing, or another visual task. The study evaluates your available image data, environmental conditions, accuracy requirements, and integration constraints.

What's Included:

Evaluation of available image data quality and volume
Assessment of environmental factors affecting visual recognition
Analysis of accuracy requirements and integration constraints
Candid assessment of feasibility with recommended approach
Written report with findings and recommendations

Timeline & Process

Duration: 1-2 weeks

Steps: Data review, environmental assessment, requirements analysis, feasibility determination

Best For: Teams considering computer vision but wanting informed guidance before committing to development

Request Feasibility Study

Custom Vision Model Training

RM 7,600

Development and training of a bespoke computer vision model tailored to your domain-specific visual recognition needs. The process includes data annotation guidance, augmentation strategy, architecture selection, iterative training cycles, and rigorous validation against your defined accuracy benchmarks.

What's Included:

Data annotation guidance and augmentation strategy
Architecture selection based on task complexity
Iterative training cycles with validation checkpoints
Optimization for cloud, on-premises, or edge deployment
Comprehensive documentation with retraining procedures

Timeline & Process

Duration: 4-8 weeks

Steps: Data preparation, model development, iterative training, validation, optimization

Best For: Organizations with defined visual recognition challenge and access to representative image data

Request Model Training

Vision System Integration

RM 5,100

Technical integration of a trained computer vision model into your existing operational environment, whether that is a production line camera system, a mobile application, a document processing pipeline, or another platform. The service covers API development, real-time or batch processing configuration, alert and reporting mechanisms, and performance optimization.

What's Included:

API development for model access
Real-time or batch processing configuration
Alert and reporting mechanism setup
Performance optimization for your hardware
Structured testing with team validation
Forty-five days of post-integration support

Timeline & Process

Duration: 2-4 weeks

Steps: Integration design, API development, testing, deployment, support period

Best For: Organizations ready to deploy trained models into production environments

Request Integration

Solution Comparison

Understanding which solution fits your current needs

Feature	Feasibility Study	Model Training	Integration
Viability Assessment
Data Evaluation
Custom Model Development
Validation & Testing
API Development
Deployment Support
Documentation
Investment	RM 2,200	RM 7,600	RM 5,100

Best for Exploration

Start with a Feasibility Study if you're considering computer vision but need honest assessment of whether it suits your specific use case before committing resources to development.

Best for Development

Proceed with Model Training when feasibility is established and you need a custom model tailored to your specific visual recognition requirements and operational environment.

Best for Deployment

Utilize Integration services when you have a trained model ready for operational deployment and need technical support bringing it into your existing infrastructure.

Technical Standards

Shared principles across all solution offerings

Data Security

All client data handled according to strict confidentiality protocols with appropriate security measures during processing, storage, and transmission throughout engagement.

Performance Validation

Systematic evaluation procedures using defined benchmarks, with transparent reporting of accuracy metrics, error patterns, and model limitations at each stage.

Documentation Quality

Comprehensive technical documentation covering methodology, architecture decisions, performance characteristics, and maintenance procedures for each deliverable.

Client Communication

Regular progress updates with candid discussion of findings, challenges, and realistic expectations throughout development and integration processes.

Reproducible Development

Version-controlled development processes with experiment tracking and systematic evaluation protocols following established machine learning engineering principles.

Knowledge Transfer

Working alongside your technical teams to ensure understanding of model operation, monitoring requirements, and procedures for maintaining systems effectively.

Ready to Begin?

Whether you need initial feasibility assessment, custom model development, or integration support, we're available to discuss your specific requirements and recommend the most appropriate starting point.

Discuss Your Needs