# Select Sensors

The main advantage of a legged system is its ability to carry payloads on uneven terrain. Therefore, we have focused on developing a highly modular system with a payload capacity to scope with any type of sensor. Unlike other systems, you can change towards all sides and through the core of the robot. 

<figure><img src="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FdlZpmh2eidoXJUCJEfDR%2Fmodularity.gif?alt=media&#x26;token=73fba5a9-5694-48be-9398-b81f1e271216" alt=""><figcaption><p>integration examples</p></figcaption></figure>

{% embed url="<https://a360.co/45VtNAp>" %}

With following three steps you are able to integrate any sensor:

1. Sensor Selection: Define your sensor for the mission
2. Assembly with adapter bracket carrier&#x20;
3. Add to bysense and install cables

<figure><img src="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FQ9LjtFR2l9fB8fNEkyBq%2Fimage.png?alt=media&#x26;token=1ca2d310-aa80-4a9a-815c-c7314c4467ee" alt=""><figcaption><p>three steps for integration</p></figcaption></figure>

We classify the payload by its location of installation, Front & Back, Core and Feet.

## Sensors Selection

Select in the first step your sensors you want to bring to walk.&#x20;

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>Stereo Cameras</strong></td><td>150 x 50 x 50mm</td><td>Front, Back &#x26; Core</td><td>75g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FD6FVBIVF3pPF5aAkJsJk%2Fstereo.png?alt=media&#x26;token=22c66651-3147-492f-ac92-204679c292da">stereo.png</a></td></tr><tr><td>C<strong>ameras</strong></td><td>80 x 80 x 80mm</td><td>Front, Back &#x26; Core</td><td>50g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2F6ZuFY5jUUHK1jga8m3Sd%2Fsinglecamera.png?alt=media&#x26;token=2776d2f8-e65a-4ec6-952e-5529b49c1fd6">singlecamera.png</a></td></tr><tr><td><strong>3D Lidar</strong></td><td>105 x 80 x 80mm</td><td>Core</td><td>800g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FATOyfaXRKUIIRwiNIR1O%2FLidar3D.png?alt=media&#x26;token=8c6fc789-ff0e-41b7-b697-c45442fd373a">Lidar3D.png</a></td></tr><tr><td><strong>Soil Moisture Sensors</strong></td><td>150 x 30 x 30mm</td><td>Front, Back, Core</td><td>30g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FaeJtWXqx5dfx3TIwewGM%2Fsoil.png?alt=media&#x26;token=4344aa35-9db9-4662-812f-a013817b6c9c">soil.png</a></td></tr><tr><td><strong>Antenna</strong></td><td>150 x 10 x 20mm</td><td>Front, Back, Core</td><td>50g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2Fm08NSU3w5Tb3VpaRXwfA%2FAntenna.png?alt=media&#x26;token=08ee7c6a-fab3-41a7-820b-ed61a52edee1">Antenna.png</a></td></tr><tr><td><strong>Light Sensor</strong></td><td>80 x 80 x 30</td><td>Front &#x26; Back</td><td>80g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2Fb3zxZdg56X00W0NFjoQ5%2Flight.png?alt=media&#x26;token=549616d6-0ee9-421f-9ee2-48f56e42d8c6">light.png</a></td></tr><tr><td><strong>Proximity Sensor</strong></td><td>150 x 20 x 20</td><td>Front &#x26; Back</td><td>35g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FUMy0ByUmPO3ZoaMwF05m%2FGasSensor.png?alt=media&#x26;token=97216a5e-a43d-46b7-92e7-0ac0e2857107">GasSensor.png</a></td></tr><tr><td><strong>Ultrasonic Sensor</strong></td><td>60 x 15 x 15</td><td>Front &#x26; Back</td><td>15g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FjAXqzL2PCe6xRyHxlejD%2FUR.png?alt=media&#x26;token=c443af85-689f-42ef-8ab6-1cb362d4f33e">UR.png</a></td></tr><tr><td><strong>Pressure Sensor</strong></td><td>150 x 45 x 45</td><td>Front &#x26; Back</td><td>75g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FYjTe56sV7inPVaph66nE%2FGSens.png?alt=media&#x26;token=ffe81d71-6b74-4897-b071-774c84985a14">GSens.png</a></td></tr><tr><td><strong>Gas Sensor</strong></td><td>30 x 30 x 28</td><td>Front, Back &#x26; Core</td><td>25g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FVSzkG6HgJzt8yrZTAykp%2FGSensor.png?alt=media&#x26;token=9a9ad0d6-9264-4d55-af33-3996c6da21ee">GSensor.png</a></td></tr><tr><td><strong>Force Sensor</strong></td><td>80 x 80 x 30</td><td>Foot</td><td>100g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FuEIXYsPcrm4aprwjYBZ4%2FForceSensor.png?alt=media&#x26;token=81228f8a-ea37-43df-9166-ecd2cbef92e4">ForceSensor.png</a></td></tr><tr><td><strong>GPS</strong></td><td>30 x 30 x 10</td><td>Core</td><td>30g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FMBDffa0f1VErX3hl1onw%2FGPS.png?alt=media&#x26;token=35c53e52-1f8d-46d9-b9b3-ca71d41ca2de">GPS.png</a></td></tr><tr><td><strong>Solid State Lidar</strong></td><td>60 x 60 x 30</td><td>Front &#x26; Back</td><td>65g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FrxFh6TdABeEpPy9fC0rA%2FSolidStateLidar.png?alt=media&#x26;token=6b7cd889-b605-4799-a66f-2cea9dd68252">SolidStateLidar.png</a></td></tr><tr><td><strong>Infrared Sensor</strong></td><td>35 x 35 x 20</td><td>Front, Back &#x26; Core</td><td>100g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FCKs5BzcdlrcfPRlecr5W%2FIF-Sensor.png?alt=media&#x26;token=2227f362-9f40-455b-bfd1-087cab5ab967">IF-Sensor.png</a></td></tr><tr><td><strong>Proximity Sensor</strong></td><td>100 x 30 x 30</td><td>Front, Back &#x26; Core</td><td>80g</td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FQDfaFG7RUqMuC16H2yfL%2FProxSensor.png?alt=media&#x26;token=5a766f7a-c712-46a8-9b35-05ad675a6597">ProxSensor.png</a></td></tr></tbody></table>

{% hint style="info" %}
Sizes, location and weights are examples of use cases and do represent typical on the market existing systems.
{% endhint %}

## Other Payload Selection for Sensing

To cover a wider range of applications and use cases with bysense you have the possibility to integrate&#x20;

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>Robotic Arm</strong></td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FwE7YuoQ48NvTXc7CVbnP%2FArm.png?alt=media&#x26;token=3bb6380a-0419-4b04-a8d6-872b222441bd">Arm.png</a></td></tr><tr><td><strong>Battery</strong></td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2Flq0Y9IcQQaYeCr3i5oJU%2FBattery.png?alt=media&#x26;token=3a0d9f80-c691-4d2e-9fea-3aa76e8a53ab">Battery.png</a></td></tr><tr><td><strong>Wheels on Feets</strong></td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2F726PpL0zuz1qYILBrOtd%2FWheel.png?alt=media&#x26;token=b99a6774-0cdf-4b98-a52f-4db5dbcb69dc">Wheel.png</a></td></tr><tr><td><strong>FPV Drone</strong></td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FmllO3xfQzF4P7YY5KSO1%2FFPVDrone.png?alt=media&#x26;token=19a999ad-0e6c-4f5d-bc06-7a27b21134a8">FPVDrone.png</a></td></tr><tr><td><strong>Computation Unit</strong></td><td><a href="https://3559806457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOETiULvtBdEiEFsykrM%2Fuploads%2FAclrJBD0KRk2MVizUDms%2FExtraCompUnit.png?alt=media&#x26;token=dfc3caba-a218-4604-a11d-827dfe66f0ec">ExtraCompUnit.png</a></td></tr></tbody></table>

## Adapter Bracket Selection

To scope with any sensor you have following options to select the right bracket for you:

* Take a existing adapter bracket
* Download one of the brackets and print it
* Design your own bracket for your desired application

Based on your sensor and bracket selection you can continue with the installation