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Deploy model to Jetson on Sensecraft AI Platform

Getting Started​

SenseCraft AI platform provide a very simple way to deploy AI model to edge device such as Jetson orin ,XIAO ESPS3,etc. Enjoy seamless Edge AI model deployment now!

  1. Select or upload an AI model for Jetson device
  2. Visit the AI model detail and click "Deploy Model" button

Step 1 Install SenseCraft AI-Jetson​

  1. If your Jetson device has installed SenseCraft AI on device,go directly to step 2

  2. Connect Jetson to a display and power it on

  3. Plug a mouse and keyboard into the device and type the following command on a terminal to run the application

bash <(wget -qO- https://sensecraft-statics.seeed.cc/edge-ai/init-script/edge-ai-setup.sh)

  1. SenseCraft AI-Jetson install complete, please go to step 2

Step 2 Select device​

  1. If you have already added the device to the platform, you can directly select the device and click next to go to step 3

  1. If your need add a new device, please click "Add Devic" Button and the Add Device window will appear.
  2. Enter the device name

  1. Visit SenseCraft AI-Jetson Application on your device and go to Settings page
  2. Enable "Bind to SenseCraft AI platform" setting and get the bind code
  3. Back to SenseCraft AI platform and enter the valid bind code to complete the addition
note

if this bind code is duplicated, you need to enter the temporary name.

  1. Now select the device and click next to step 3

Step 3 Select Stream​

  1. If you want to apply the AI model on the existing video stream of the device, please directly select the video stream and click "Send" to send the model down to the device.

  1. If you want to apply the AI model to a new video stream, click the "Add Stream" button and enter the new stream's information

Stream info detail please check the follow table

FieldsContent
Stream Name1 custom name for this stream.
2 Cannot be empty
Video Type1 Ip camera：Access a IP camera, need input a valid rtsp url
2 Usb camera：Connect the usb camera to the device, automatically recognize the usb, and then select the correct usb camera in the video path.
3 Video：Video built into the device,and input in video path
Video PathVideo Path, format decided by "Video Type", if wrong, default video will be used.
Confidence Threshold1 Object confidence threshold for detection.
2 Format:float [0, 1]
IoU Threshold1 IoU is used to assess the accuracy of predicted bounding boxes compared to truth bounding boxes2 Format:float [0, 1]
FPS1 Frames per second of stream
2 Format: INT [1,60]
Quality1 Output stream quality. Default: 50
2 Format: int [0,100]
Maximum Detections1 maximum number of detections per image.Default:3002 Format: int [0,1000]
Display Frame Rate1 Whether to display the frame rate of the stream
2 Format:Bool [True,False]
● True: display FPS
● False: do not display FPS
Display Clock1 Whether to display the time
2 Format:Bool [True,False]
● True: display time
● False: do not display time

  1. Click “Send” button to send the model down to the device.The model deployment will take about 5mins, please feel free to close the preview page and check it in device workspace after the deployment is complete.

  2. Check the new model on device or device workspace on AI platform

Tech Support​

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