# Target passers-by using computer vision at the edge

> Play a campaign when the webcam on a display detects a passer-by of a given gender, with the model running on the device so no images leave the store.

How-to guide · Launching Campaigns › Localise campaigns · Last updated 17 September 2026

URL: https://personalisationhub.com/support-centre/launching-campaigns/target-passers-by-using-computer-vision-at-the-edge/

With a webcam connected to a display, Personalisation Hub can detect who is walking past and switch the campaign to match. For example, it can play a men's offer when the passer-by is male. The computer vision model runs on the display's own device at the edge; no images or sensitive data leave the store.

## Before you begin

- A display with a webcam connected, registered under **Displays & Devices**.
- A campaign with creative for that display's playlist.
- For what the platform does and does not keep, see [Does computer vision store images of shoppers?](https://personalisationhub.com/support-centre/personalisation-and-ai/does-computer-vision-store-images-of-shoppers/).

## Add the targeting rule

1. In the left navigation, select **Campaigns**, then select the campaign name.
2. Select the **Targeting** tab.
3. Select **Add New "AND" Condition**.
4. In the first select, choose **Visitor / Customer Data**.
5. In the second select, choose **Gender**.
6. In the third select, choose **equal**.
7. In the fourth select, choose **male** or **female**.
8. To have the campaign interrupt whatever is playing as soon as a passer-by is detected, turn on **Override current campaign**.
9. Select **Save Changes**, then turn on the activation toggle at the top right.

## Enable Vision/AI on the display

1. In the left navigation, select **Displays & Devices**.
2. Select the display name, then select the **Enabled Features** tab.
3. Turn on **Enable Vision/AI (BETA)**.
4. Tick **Monitor Passerby & Campaign Engagement Data**. Tick **Record as shopfront passer-by traffic** if the display faces the street.
5. Leave **Detection Preset** on **Balanced** unless the device struggles (**Fast**) or misses short visits (**Accurate**).
6. Select **Save Changes**.

> **Note:** The platform can also run your own computer vision model at the edge. What the device can support depends on its hardware; email [support@personalisationhub.com](mailto:support@personalisationhub.com) to discuss it — see [How do I get support?](https://personalisationhub.com/support-centre/getting-started/how-do-i-get-support/).

## Verify it worked

Stand in front of the display. As soon as the camera picks you up, the matching campaign starts; with **Override current campaign** on, it cuts in over the campaign that was playing. Views and passer-by demographics then appear under **Insights / Analytics** — see [Review campaign performance in Insights / Analytics](https://personalisationhub.com/support-centre/launching-campaigns/review-campaign-performance-in-insights-analytics/).

## Troubleshooting

### Nothing changes when someone walks past

**Cause.** Vision/AI is not enabled on that display, or the webcam is not connected to the device.

**Fix.** Check the **Enabled Features** tab shows **Enable Vision/AI (BETA)** ticked and saved, then check the camera on the device.

### Detection is slow or misses people

**Cause.** The **Detection Preset** is too light for the traffic, or the device's CPU is saturated.

**Fix.** Try **Accurate** on capable hardware, or **Fast** on weak hardware, and save.

## Related

- [Target a campaign](https://personalisationhub.com/support-centre/launching-campaigns/target-a-campaign/)
- [Does computer vision store images of shoppers?](https://personalisationhub.com/support-centre/personalisation-and-ai/does-computer-vision-store-images-of-shoppers/)
- [Review campaign performance in Insights / Analytics](https://personalisationhub.com/support-centre/launching-campaigns/review-campaign-performance-in-insights-analytics/)
- [Use customer and decisioning data to personalise the store visit](https://personalisationhub.com/support-centre/personalisation-and-ai/use-customer-and-decisioning-data-to-personalise-the-store-visit/)