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With the rapid development of generative artificial intelligence technology, large language models (LLMs) are gradually becoming the core force driving the upgrading of smart devices. Espressif Systems has launched the intelligent AI development kit — EchoEar (Link EchoEar plus). With end-to-end development as its core concept, this kit constructs a one-stop development process from hardware access, agent construction to ecological linkage, providing developers with an efficient, open, and replicable implementation path.
EchoEar Technical Highlights
As a major technical highlight of EchoEar, the device is equipped with the ESP-Brookesia framework, which not only undertakes the construction and rendering of the overall UI but also deeply integrates the intelligent voice conversation service of LLM Platform and Espressif’s new audio and video framework ESP-GMF. It integrates a number of intelligent functions optimized for the edge side. With this framework, EchoEar can realize full-duplex voice interaction, multi-modal recognition, and intelligent agent control, creating a more immersive human-computer interaction experience.
Intelligent Intercom and Emotion Recognition Capability can actively identify users’ intentions and emotional changes, and respond through dynamic expression interactions, enhancing the anthropomorphic performance of the device; Long-term Memory Capability supports continuous recording of user conversation content, achieving a more companionable and personalized experience. Offline Voice Wake-up and Sound Source Localization combined with motor control can realize direction tracking within a 180° range, making device interaction more natural and immersive; in addition, EchoEar also supports MCP protocol and Function Call capability, which can be used to remotely control home devices and serve as a local hub for smart home systems.
Take smart home for example, The EchoEar can turn on lights, adjust room lighting to suit mood (e.g., cozy or cool lighting), and turn on air condition. It does not need direct commands; it understands statements like “it’s too hot” or “make it code” and performs reasonable actions with AI ability. With a memory of personal events and preferences, EchoEar remembers stuff like the user’s birthday, favourite dessert, previous decisions and more.
Hardware Configuration
EchoEar is open source and features rich components and flexible templates. Developers do not need to start from scratch and can quickly build intelligent products for various scenarios such as voice interaction, educational assistance, and emotional companionship. Through the method of “template reuse + plug-in assembly”, the platform significantly shortens the prototype verification and mass production cycles of AI products, and effectively reduces development thresholds and integration costs.
Built for voice interaction and intelligent user experiences, EchoEar features:
🌀 A 1.85-inch 360×360 round tft display with touchscreen (Product Link)
🎤 Dual-microphone array
🔊 Onboard speaker
🧠 Support for on-device AI
The main control of EchoEar adopts the Espressif ESP32-S3-WROOM-1-N32R8 module, supporting 2.4 GHz Wi-Fi and Bluetooth 5 (LE) wireless connections. In terms of storage, the entire device has 8 MB PSRAM and 32 MB Flash storage space, and is also equipped with a microSD card slot that can support up to 32 GB, meeting the needs of voice interaction and multimedia processing. It is equipped with a 1.85-inch 360×360 round tft display with touchscreen (made by VIEWE Display) and an ESP32-S3 native touch sensor, providing an intuitive and rich interactive experience.
In terms of audio, EchoEar has a built-in 2W speaker and a dual-microphone array, supporting local voice wake-up and sound source localization. The power supply system is compatible with 5V DC and 3.7V 700mAh lithium battery power supply. In addition, it integrates a USB-C interface to support power supply and programming download, and reserves a Pogopin interface for convenient function expansion.
Compared with Espressif Echoear, Echoear plus is built on the same core module and hardware configuration, ensuring full compatibility and seamless integration within the same ecosystem. With optimized appearance and more color options, the product not only delivers intelligent AI but also enhanced aesthetic appeal, providing users with a superior visual and tactile experience.
Future AI Era
Large AI models will shape industrial innovation, and moving them from cloud to edge—and into real devices—is key. Espressif will continue to leverage its wireless SoCs and developer ecosystem to bring AI to more terminals and accelerate the AIoT industry.
As an Espressif partner, VIEWE not only supplies displays but also collaborates on Espressif’s open-source platforms to launch integrated AI smart products (EchoEar plus)—together advancing the AI ecosystem.
