🚀 Deploying MobileNetV3 on theOKMX8MP-Cfor Edge AI
In our latest technical case, Forlinx Embedded demonstrates how to train, quantize, and deploy the MobileNetV3 model using NXP’s eIQ Portal, achieving handwritten digit recognition on the OKMX8MP-C (i.MX8M Plus) platform.
This end-to-end workflow covers everything — from dataset import and model training to TensorFlow Lite quantization and deployment — showcasing how developers can efficiently implement lightweight AI inference on industrial ARM platforms.
✅ Tools used: eIQ Portal + TensorFlow Lite
✅ Platform: OKMX8MP-C SoM (NXP i.MX8M Plus)
✅ Application: Handwritten digit recognition
👉 Learn how edge AI can run smoothly even in industrial environments.
https://www.forlinx.net/industrial-news/mobilenetv3-imx8mp-handwritten-digit-recognition-740.html
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