I have used a raspberry pi for running image classification CNN’s, it really depends on the model you are using. Edge IoT AI is making a lot of progress targeting running AI on resource constrained devices.
If you have access to the dataset you want you could train one yourself to fit on your target hardware. You could also look at FPGA solutions if you are comfortable working with those. Training locally might take some time but you could use google Codelab to train it.
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I have used a raspberry pi for running image classification CNN’s, it really depends on the model you are using. Edge IoT AI is making a lot of progress targeting running AI on resource constrained devices.
If you have access to the dataset you want you could train one yourself to fit on your target hardware. You could also look at FPGA solutions if you are comfortable working with those. Training locally might take some time but you could use google Codelab to train it.