# hmi Published articles for hmi. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications DevFeed: [Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-11T13:41:08Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Hardware](), [Arm](), [cpu](), [Internet of things]() Tags: [arm](), [cortex-a55](), [cpu](), [development-board](), [devices](), [display](), [embedded-systems](), [gateway](), [h-264](), [hardware](), [hmi](), [industrial](), [iot](), [linux](), [low-power](), [medical-devices](), [real-time](), [renesas](), [renesas-mcu](), [smarc](), [systems](), [zephyr](), [zephyr-os]() ### AI overview Renesas introduced the RZ/G3L and RZ/G3SE, two 64-bit MPUs for HMI and IoT edge systems. Both use Arm Cortex-A55 application cores and an Arm Cortex-M33 real-time coprocessor. The RZ/G3L adds a Mali-G31 GPU and H.264 codec for richer HMI applications, while the RZ/G3SE targets IoT devices with basic display needs. Both support low-power standby operation. ### Source excerpt Renesas has expanded its RZ/G Series with the RZ/G3L and RZ/G3SE, two new 64-bit MPUs for HMI and IoT edge systems. Both devices integrate up to four Arm Cortex-A55 application cores clocked at up to 1.2 GHz and a 200 MHz Arm Cortex-M33 real-time coprocessor. The two chips are pin-to-pin compatible but target different applications. The RZ/G3L integrates an Arm Mali-G31 3D GPU and H.264 video codec for HMI applications like retail terminals and medical devices. The RZ/G3SE removes the GPU and video codec and is designed for IoT devices with basic display requirements, including EV chargers and industrial gateway devices. Both can reduce standby power consumption to around 1 mW and resume operation quickly from deep standby, which is useful for devices that need to remain connected while consuming very little power. Renesas RZ/G3L and RZ/G3SE specifications: MPU core CPU Quad-core or Dual-core Arm Cortex-A55 @ up to 1.2 [...] The post Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications appeared first on CNX Software - Embedded Systems News. ## ESP-BIST in Action: A Self-Testing HMI using ESP32-P4 DevFeed: [ESP-BIST in Action: A Self-Testing HMI using ESP32-P4]() Original publisher: [Read original article]() Author: John Lee Published: 2026-08-22T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32-P4](), [Testing](), [Test coverage](), [Espressif](), [Microcontroller](), [RISC-V](), [boot]() Tags: [blog](), [display](), [esp32-p4](), [espressif](), [hmi](), [lvgl](), [modbus](), [risc-v](), [safety](), [startup](), [test-coverage](), [testing]() ### AI overview This tutorial explains how ESP-BIST provides IEC 60730 Class B self-test coverage on Espressif SoCs. It demonstrates an ESP32-P4-powered HMI using an M5Stack Tab5, Modbus communication with a simulated motor controller, and an LVGL touchscreen. The article describes post-boot and runtime tests, safe-state handling, and Host Diagnostics using the low-power RISC-V core. ### Source excerpt ESP-BIST brings IEC 60730 Class B self-test coverage to Espressif SoCs, and this article walks through what that actually means before putting it to work. Using an ESP32-P4-based M5Stack Tab5 as a Modbus HMI for a simulated motor controller, we show how a SoC that can prove its own health is a chip you can trust to draw a "safe" screen without lying about it. ## Inside the New ESP-Brookesia v0.7 Architecture DevFeed: [Inside the New ESP-Brookesia v0.7 Architecture]() Original publisher: [Read original article]() Author: John Lee Published: 2026-05-04T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [Framework](), [AI Agent](), [Development](), [MCP](), [Large Language Model]() Tags: [ai-agent](), [aiot](), [architecture](), [blog](), [components](), [esp-brookesia](), [framework](), [hmi](), [llms](), [mcp](), [modules](), [orchestration](), [product-development]() ### AI overview This article introduces the redesigned ESP-Brookesia v0.7 architecture for building AIoT interaction products. It describes the framework's layered structure, including hardware abstraction, device services, AI Agent and AI Expression modules, and application layers. It also explains how Function Calling and MCP connect LLMs with device-side functionality. ### Source excerpt This article introduces the redesigned ESP-Brookesia v0.7 architecture, from Utils, HAL, and General Service to AI Agent and AI Expression. It explains how these modules fit together and highlights two examples that help you quickly understand how to build AIoT interaction products on top of the framework. ## ESP32-P4-EYE Vision Development Board for Camera and Edge Computing Applications DevFeed: [ESP32-P4-EYE Vision Development Board for Camera and Edge Computing Applications]() Original publisher: [Read original article]() Author: John Lee Published: 2025-05-01T00:00:00Z Content type: release Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32-P4](), [ESP32](), [Internet of things](), [On-device AI]() Tags: [blog](), [camera](), [esp32](), [esp32-p4](), [hmi](), [iot](), [mipi-csi](), [p4](), [technology](), [vision]() ### AI overview Espressif has launched the ESP32-P4 EYE DevKit, a camera-focused vision development board based on the ESP32-P4 SoC. It supports real-time image processing, edge computing, wireless connectivity, and audio and video peripherals. ### Source excerpt Discover the ESP32-P4 EYE DevKit -- a compact, camera-focused development board designed for real-time image processing and edge computing. Learn how this powerful, low-cost solution can accelerate your next smart camera or IoT project. ## Presenting the Advantages of ESP32-S3-BOX, Espressif's AI Voice Development Kit DevFeed: [Presenting the Advantages of ESP32-S3-BOX, Espressif's AI Voice Development Kit]() Original publisher: [Read original article]() Author: John Lee Published: 2021-11-22T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32-S3](), [ESP32](), [Espressif](), [Internet of things](), [Bluetooth](), [Wi-Fi](), [Artificial Intelligence](), [SOC]() Tags: [ai-voice-assistant](), [aiot](), [applications](), [blog](), [bluetooth](), [development-kit](), [esp32](), [esp32-s3](), [espressif](), [follow](), [hmi](), [iot](), [jtag](), [offline](), [sign-in](), [sign-up](), [soc](), [speakers](), [usb](), [voice](), [wi-fi]() ### AI overview Espressif's ESP32-S3-BOX is an AI voice development kit based on the ESP32-S3 Wi-Fi and Bluetooth 5 SoC. The article presents its hardware specifications and supported use cases, including online and offline voice assistants, AIoT devices, machine learning at the edge, and HMI applications. ### Source excerpt Espressif Systems has recently released an AI voice development kit dubbed ESP32-S3-BOX, based on ESP32-S3 Wi-Fi + Bluetooth 5 (LE) SoC. It provides a platform for developing the control of smart devices with offline and online voice assistants. ESP32-S3-BOX is ideal for developing AIoT applications with reconfigurable AI voice functions, such as smart speakers, and IoT devices that achieve human-computer voice interaction directly.