Sensecarft AI deploying custom model to vision ai module failed

[ujur007]

I have vision AI module and I wanted to deploy custom AI model.

I followed the steps here and then followed the deployment process. But after deployment, I get

“Invoke failed please check the device connection“

Train and deploy the YOLOv8 object detection model | Seeed Studio Wiki

[PJ_Glasso]

Hi there,

So you’re a little lite on the details, custom model to vision AI is a strict process, with well defined parameters.
What part fails ?

Deploy

• The model file that needs to be deployed is the tflite file exported above. You can burn the model file to the target device according to the following tutorial.
• We strongly recommend using our web tool to burn the trained tflite model into the device. Detailed operations are provided in the Deployment Tutorial

Note: Since the ESP32S3 device does not support model deployment after vela graph optimization, you do not need to perform tflite model graph optimization if you want to deploy the model to the XIAO ESP32S3 device.

Are you able to use the Demonstration models ?

HTH
GL PJ

[ujur007]

I am able to use the Demonstration models. yes.

The deployment part itself fails with message, on pop-up “Invoke failed please check the device connection“

I can give you the model files as well. I am using Vision AI module v2 hence, I tried both the vela optimized and not optimized, but the same issue happens.