# Computer vision

> Computer vision systems that turn images and video into structured signals for operations, inspection, monitoring, and human-reviewed decisions.

Make visual information useful.

Cameras and images can tell you more than what happened. We build vision systems that surface relevant events and connect those signals to the people who need to act.

- URL: https://weaveward.com/services/computer-vision
- Industries: Retail, Logistics, Insurance, Manufacturing

## Common problems

### Visual review depends on manual attention

Monitoring footage and inspecting images can be repetitive, with important moments easy to miss.

### Camera footage stays disconnected from operations

A video feed records activity but rarely provides the structured information needed for reporting.

### A model must work in your real environment

Lighting, camera position, object variation, and operational constraints all affect what a system can reliably detect.

## What we build

### Video analytics and monitoring

Detect defined events, count objects, and produce useful signals from suitable camera streams.

### Visual inspection workflows

Assist review of products, assets, or damage with detections that can be checked by a person.

### Labelling and model pipelines

Prepare representative data, annotation workflows, and evaluation sets for a specific vision task.

### Operational vision dashboards

Connect detections to alerts, searchable events, and reporting with appropriate retention controls.

## Technology

- **Models**: Python, PyTorch, Object detection
- **Data**: OpenCV, CVAT, Video pipelines
- **Deployment**: Edge processing, Cloud inference, Operational dashboards

## Related project studies

- [Claim Triage](https://weaveward.com/work/motor-insurance-claim-triage): Prototype, 2026. An insurance review workspace linking claim documents, policy and repair checks, and traceable recommendations for a human officer
- [CVAT Ball Auto-Labelling](https://weaveward.com/work/ball-auto-labelling-cvat): Prototype, 2026. A custom CVAT adapter combining full-frame and tiled inference for small footballs, producing editable ball and person annotations
- [Spatial Digital Twin](https://weaveward.com/work/spatial-digital-twin): Prototype, 2026. An editable 3D planning prototype for comparing room layouts, checking clearances, and simulating queues before a space is rearranged

## Frequently asked questions

### Can you use our existing CCTV cameras?

Potentially. We review stream access, resolution, frame rate, camera placement, and the task to detect. A sample evaluation helps establish whether the existing cameras provide the information the model needs.

### How accurate will the system be?

Accuracy depends on the task and the environment. We use representative test data, agree on measures such as missed events and false alerts, and validate performance in a pilot before making deployment decisions.

### Can computer vision run on-site?

An edge deployment can be considered when latency, connectivity, or data handling requirements favor on-site processing. We assess the hardware and workload alongside cloud and hybrid options.

### How do you handle privacy in video projects?

We plan data minimization, access restrictions, retention, and review responsibilities with your organization. The intended purpose and necessary permissions should be established before collecting or connecting footage.