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Computer vision
Detection, classification, segmentation, tracking and optical character recognition for images and video.
Custom AI Solutions
AI, built for your business
We design, develop and deploy deep-learning solutions around your data, workflows and commercial objectives—from a focused algorithm to an integrated production system.
SCOVIONDEEP LEARNING CORE
01Your data
02Custom models
03Business outcomes
Designed around the problem
From challenge to production AI
Off-the-shelf software cannot address every workflow. We begin with the decision, task or bottleneck that matters, then select the right deep-learning architecture, data strategy and deployment model. The result is a solution shaped around the environment where it must perform—not a demonstration that stops at the model.
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Multimodal interaction
Solutions that combine language, speech, vision and structured business information.
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Prediction & optimisation
Models that reveal patterns, forecast outcomes and support better operational decisions.
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System integration
APIs, edge computing, private deployment and workflow integration built for real operations.
Research & development
A dedicated R&D team in Wuhan
Our Wuhan R&D department brings together algorithm development and engineering implementation. Working with our commercial and delivery teams, it supports technical feasibility assessment, data preparation, model training, application development, system integration and continuous optimisation.
Our approach
One complete delivery journey
Each engagement is organised around measurable business value, technical feasibility and a clear path into everyday use.
Define the outcome
Map the workflow, users, constraints and success metrics before selecting technology.
Prepare the data
Assess data quality, coverage, annotation needs, privacy boundaries and technical feasibility.
Develop the model
Train, validate and refine the deep-learning model against representative scenarios.
Integrate the system
Connect the algorithm to interfaces, devices, platforms and operational workflows.
Deploy & improve
Monitor performance, support users and evolve the solution as conditions change.
Selected use cases
AI outcomes, made visible
The same development framework can be adapted to different industries, data types and operating environments.
CASE 01
Multimodal content automation
AI digital human livestream
A configurable virtual presenter can combine speech synthesis, language models, visual generation and broadcasting controls to deliver consistent live content. The solution can be adapted for commerce, product explanation, training or service briefings while retaining human review and brand governance.
- Multilingual scripts and natural speech generation
- Configurable presenter, scene and knowledge base
- Human approval, content controls and performance analytics
CASE 02
Computer vision at the edge
Road traffic licence plate recognition
A vision pipeline can detect vehicles, locate plates, recognise characters and connect results with authorised systems. Models can be tuned for local plate formats, camera positions, lighting and weather, supporting parking, logistics, access control and road-management workflows.
- Vehicle detection, tracking and plate localisation
- OCR tuned for local formats and operating conditions
- Edge or private deployment with configurable data retention
Solution architecture
From data to decision
We design the model together with the software and infrastructure around it, so performance, governance and user experience are considered as one system.
Data layer
Collection, cleaning, annotation and governance
Model layer
Training, validation and optimisation
Service layer
APIs, edge inference and secure deployment
Application layer
Interfaces, workflows and measurable actions
Delivery principles
Trust, built into operation
Measurable by design
Success criteria are defined around business and operational outcomes, not model accuracy alone.
Governed data
Access, privacy, retention and traceability are considered from the first design decision.
Human in the loop
Critical decisions can retain review, escalation and override paths appropriate to the workflow.
Ready to evolve
Modular architecture makes it practical to expand features, data coverage and computing capacity.
Start with the challenge
Let’s shape the right AI solution
Tell us about the workflow, data and outcome you want to improve. We will help define a practical next step.