> For the complete documentation index, see [llms.txt](https://navixy.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://navixy.com/docs/user/fr/guide/devices-and-settings/vehicle-sensors/discrete-sensors/doors-trunk-and-hood-sensor.md).

# Capteur de portes, coffre et capot

Aucune configuration spéciale n’est requise. Cependant, plusieurs facteurs doivent être pris en compte.

Tout d’abord, tous les modèles de voiture ne transmettent pas cette information via le bus CAN. Malheureusement, vous ne pourrez le savoir qu’en effectuant des tests ou en demandant une documentation détaillée au fabricant.

Deuxièmement, en raison de certaines particularités du protocole de transfert de données de l’appareil, vous ne pourrez pas suivre l’état des portes, etc., jusqu’à ce que le système reçoive le **Ouvrez** statut au moins une fois. Pour un fonctionnement correct, nous vous recommandons de laisser le coffre, le capot et toutes les portes ouverts pendant plusieurs minutes, moteur en marche.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://navixy.com/docs/user/fr/guide/devices-and-settings/vehicle-sensors/discrete-sensors/doors-trunk-and-hood-sensor.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
