---
title: 'Video Context for traffic and transport'
description: 'Count vehicles, detect incidents, and measure flow from the cameras you already have.'
url: 'https://videocontextapi.com/for/traffic/'
---

# Video Context for traffic and transport

> Transport teams use Video Context to turn existing traffic camera feeds into counts, flow data, and incident alerts, without new hardware and without someone watching every screen.

> Status: Private beta. The API, SDK, and MCP server are open to beta partners. Book a call to get access: https://calendly.com/sam-reactvideoeditor/30min

## What teams do with it

- **Count and classify**: Cars, buses, bikes, and pedestrians, per lane and per hour.
- **Detect incidents**: Stopped vehicles, wrong-way driving, and blocked junctions, flagged as they happen.
- **Measure flow**: Queue length and journey time at every junction, over days and seasons.
- **Search past footage**: Find "a white van turning left at junction 4 last Tuesday" in seconds.

## Why transport teams need it

Cities and operators already have thousands of cameras, and almost all of their footage is never watched. Counts come from manual surveys, and incidents are found when someone calls them in.

Video Context turns the cameras you already have into a source of data. It counts and classifies traffic, measures flow, and flags incidents as they happen, without new hardware.

## How it works

1. Connect your existing camera feeds or recordings.
2. Video Context counts and classifies vehicles, bikes, and pedestrians, and measures queues and flow.
3. Your team sees counts and trends per junction, lane, and hour.
4. Automations send an alert when an incident is detected.

## What changes

- Counts every hour, every day, not one survey a year.
- Incidents are flagged in seconds.
- Past footage is searchable when you need evidence.

## Example output (planned API design)

```json
{ "camera": "junction_04", "hour": "08:00",
  "counts": { "car": 1182, "bus": 34, "bike": 211 },
  "incidents": [ { "t": "08:41:12", "type": "stopped_vehicle", "lane": 2 } ] }
```

## FAQ

### Do we need new cameras?

No. Video Context works with the footage from cameras that you already have.

### Does Video Context identify individual people?

No. For traffic use, Video Context counts and classifies road users and detects events. It does not identify individuals.

### Can it run inside our own network?

Yes. Video Context can run in your own cloud account or on your own servers, so footage stays in your network.