AI Agents6 min read
AI Agents vs AI Copilots: What's the Difference?
Copilots help a person do a task; agents pursue a goal across many steps. Here is how to tell them apart and how to choose.
Innovaith Editorial
Solution 03 · Computer Vision
Let software watch, so your people can act.
Computer vision lets software see what is happening on shelves, on production lines, in stores and in documents. We build systems that spot what matters in images and video, then tell the right person or system, so something is done about it.
From pixels to decisions
- Camera / image
- Pre-process
- Detect
- Track
- Interpret
- Alert / act
- Improve
What we build
Computer Vision, engineered for production.
- 01
Object detection & recognition
Identify products, items, people or components in images and video, tuned to your environment.
- 02
Video intelligence
Understand activity over time, including events, sequences and behaviour patterns, across one or many cameras.
- 03
Visual inspection
Detect defects, damage or non-compliance consistently, and route edge cases to human review.
- 04
Retail intelligence
Shelf, planogram and in-store analytics that turn visual data into merchandising and operational insight.
- 05
Anomaly detection
Flag what looks different from normal, even when failure examples are rare.
- 06
Multimodal understanding
Combine vision models with language models to describe, search and reason about images.
How it works
From pixels to decisions
Vision models become useful once their outputs reach the people and systems that act on them.
- 01
Camera / image
Video streams, photos or scanned documents from existing hardware.
- 02
Pre-process
Frames are sampled, normalised and anonymised where required.
- 03
Detect
Models locate and classify the objects, products, gestures or defects of interest.
- 04
Track
Detections are followed across frames and cameras to build context over time.
- 05
Interpret
Events are scored against business rules to separate signal from noise.
- 06
Alert / act
Relevant events trigger alerts, tasks or system updates, and people confirm the critical ones.
- 07
Improve
Reviewed results feed back into evaluation sets and retraining.
Where it helps
Built around the work, not the technology.
Typical places this capability changes how work gets done.
Retail & consumer goods
Shelf availability, compliance checks and store operations based on what cameras actually see.
Loss prevention & safety
Real-time detection of events that need attention, with human confirmation built into the flow.
Quality & inspection
Consistent visual checks on products, assets and infrastructure.
Document & image processing
Read, classify and extract from photos, scans and forms.
Engineering approach
What makes it production-grade.
Data strategy first
Collection, labelling guidelines and evaluation sets designed around the real-world conditions the model will face.
Edge or cloud
Deployment on-device, on-premise or in the cloud, based on latency, bandwidth and privacy needs.
Privacy by design
Anonymisation, data minimisation and retention controls where people appear in the footage.
Monitored in production
Drift detection and feedback loops so accuracy holds as environments change.
Typical technology
- Python
- FastAPI
- PyTorch
- OpenCV
- Detection & segmentation models
- Multimodal models
- TypeScript
- Node.js
- AWS
- Docker
- Kubernetes
- CI/CD & infrastructure as code
- PostgreSQL
- Redis
Related insights
All insights- RAG6 min read
How RAG Systems Actually Work
A plain-language walkthrough of retrieval-augmented generation, from ingestion and chunking to grounded, cited answers, and where it tends to fail.
Innovaith Editorial
- AI Agents6 min read
Designing Reliable Agentic AI Workflows
Patterns that make agents predictable: explicit orchestration, typed tools, verification steps, budgets and human approval gates.
Innovaith Editorial
Explore other capabilities
Agentic AI & Automation
An assistant that doesn't just answer. It looks things up, takes the next step in your systems and checks the result, with your team approving anything important.
- Answering customer questions
- Handling orders and refunds
- Updating records
- Sending follow-ups
See AI agents
Generative AI & RAG
Ask a question in plain English and get an answer from your own policies, contracts and manuals, with the source shown so people can trust it.
- Staff help desk
- Policy and contract search
- Customer self-service
- Onboarding new hires
See document answers
Data & Analytics
Scattered business data turned into forecasts, early warnings and dashboards your team will actually use.
- Sales and demand forecasts
- Early warnings
- Live dashboards
- One place for your data
See data and analytics
Idea → Architecture → Prototype → Production → Scale
Ready to explore Computer Vision?
Tell us what you're trying to build, test, automate or improve. We'll tell you honestly where we can make a real difference, and where we can't.