# Touchpad Digit Recognition Based on ESP-DL

DevFeed: [Touchpad Digit Recognition Based on ESP-DL](<https://devfeed.tech/articles/touchpad-digit-recognition-based-on-esp-dl-13708.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/2025/06/touchpad-digit-recognition/>)

Author: John Lee

Published: 2025-06-18T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [ESP32-S3](<https://devfeed.tech/topics/esp32-s3.md>), [ESP32-P4](<https://devfeed.tech/topics/esp32-p4.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Jetson](<https://devfeed.tech/topics/jetson.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [applications](<https://devfeed.tech/tags/applications.md>), [blog](<https://devfeed.tech/tags/blog.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [devices](<https://devfeed.tech/tags/devices.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [esp-dl](<https://devfeed.tech/tags/esp-dl.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [esp32-p4](<https://devfeed.tech/tags/esp32-p4.md>), [esp32-s3](<https://devfeed.tech/tags/esp32-s3.md>), [inference](<https://devfeed.tech/tags/inference.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [recognition](<https://devfeed.tech/tags/recognition.md>)

## AI overview

This tutorial demonstrates touchpad-based digit recognition on ESP32-S3 and ESP32-P4 using ESP-DL. It covers touch-data collection and preprocessing, lightweight CNN design, model training and evaluation, quantization, and C++ implementation for model loading and inference.

## Source excerpt

This article demonstrates how to implement a touchpad-based digit recognition system using ESP-DL on ESP32 series chips. It covers the complete workflow from data collection and preprocessing to model training, quantization, and deployment, showcasing ESP-DL's capabilities in edge AI applications.