wafa_ath
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Created by wafa_ath on 8/28/2024 in #iot-cloud
How to Fix Inference Timeout Errors with Edge Impulse Model on Arduino Nano 33 BLE Sense?
Hello everyone, I’m currently developing a vibration anomaly detection system using an Arduino Nano 33 BLE Sense. The machine learning model was trained with Edge Impulse, and it worked well in the testing phase. However, I’m facing an issue when running the model on the Arduino. After deploying the model, I receive the following error on the serial monitor: 
Edge Impulse model failed - Inference Timeout on Layer 5: Model exceeded allocated inference time
Edge Impulse model failed - Inference Timeout on Layer 5: Model exceeded allocated inference time
The error appears consistently during inference, specifically at Layer 5, which leads me to believe it could be related to the complexity of the model or the processing limitations of the Arduino Nano 33 BLE Sense. My qst is - Could this be caused by the model being too computationally intensive for the microcontroller? If so, what steps can I take to simplify the model without losing accuracy? - Are there specific configurations or adjustments in the Edge Impulse export settings that might help resolve this timeout issue? Thanks in advance!
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