Service
Computer Vision and Video Analytics
Detection, counting and tracking systems that turn camera feeds and images into structured operational data.
The business problem
Businesses already record hours of camera footage, but almost none of it is used. Reviewing video manually is slow, and important events are noticed too late.
The outcome
Vision pipelines that extract the specific signals you care about — counts, events, occupancy, anomalies — and push them into dashboards and alerts.
What we can build
- Object and person detection on live or recorded video
- People counting, occupancy and footfall analytics
- Zone, dwell-time and movement analysis
- Visual inspection and quality checks from images
- Event-triggered clips and evidence capture
Typical deliverables
- Feasibility review of cameras, angles and lighting
- Model selection, fine-tuning and evaluation on your footage
- Edge or cloud inference pipeline
- Event, metrics and evidence storage
- Dashboards and alert integrations
- Privacy and data-retention configuration
Relevant technologies
We choose tools to fit your requirements and existing stack. Commonly used:
- OpenCV
- PyTorch
- YOLO-family detectors
- RTSP/ONVIF
- GStreamer
- Docker
Engagement process
How we deliver Computer Vision and Video Analytics projects
A consistent, transparent process — with clear deliverables at every stage.
- 01 / 06
Discover
Understand the business problem, users, constraints and what success looks like.
- 02 / 06
Architect
Design the system, data flows and integrations, and choose a technology stack that fits.
- 03 / 06
Build
Develop in short, reviewable iterations with automated tests and regular demos.
- 04 / 06
Integrate
Connect the solution to your existing applications, data sources and devices.
- 05 / 06
Deploy
Release to production through automated pipelines with security and rollback in place.
- 06 / 06
Monitor & Improve
Track performance, reliability and usage, then iterate based on real-world data.
FAQ
Common questions
Relevant industry solutions
Will this work with our existing cameras?
Often, yes — many IP cameras and DVR/NVR systems expose RTSP streams. Compatibility depends on the specific hardware, resolution and network, so we confirm it during a feasibility review.
Does video leave our premises?
It does not have to. Processing can run on an on-site edge device so that only events and metrics are sent onward.
Related services
Often combined with
Data Engineering and Analytics
Reliable pipelines that collect, clean and model data from every source into one trusted foundation.
Learn more about Data Engineering and AnalyticsBusiness Intelligence Dashboards
Dashboards and reports designed around the decisions your team needs to make — not just the data you happen to have.
Learn more about Business Intelligence DashboardsWorkflow Automation and Integrations
Automate repetitive steps and connect the tools your teams already use, so work moves without manual hand-offs.
Learn more about Workflow Automation and IntegrationsReady to discuss your Computer Vision and Video Analytics project?
Tell us what you are trying to achieve. We will review it and come back with practical next steps — a scoped project, a feasibility check, or an honest recommendation.