Breadboard 0.91 Inch Kit for Xiaozhi AI Voice Chatbot Learning and Puzzle Development

Breadboard 0.91 Inch Kit for Xiaozhi AI Voice Chatbot Learning and Puzzle Development Description

Support for AI acceleration: ESP32-S3 MCU adds vector instructions for accelerating neural network calculations and signal processing. AI developers can use these vector instructions through the ESP- and ESP-NN libraries to achieve high-performance image recognition, voice wake-up and recognition applications. ESP-WHO and ESP-Skainet also support this feature.
Complete security mechanism: ESP32-S3 provides a complete security mechanism and protection measures for IoT devices to prevent various malicious attacks and threats. It supports flash encryption based on the -XTS algorithm, secure boot based on the algorithm, digital signatures and HMAC. ESP32-S3 also adds a new "World Controller" module, which provides two non-interfering execution environments to implement a trusted execution environment or a privilege separation mechanism.
Wi-Fi + Bluetooth 5 (LE): ESP32-S3 integrates 2.4 GHz Wi-Fi (802.11 b/g) and supports 40 MHz bandwidth; its low-power Bluetooth subsystem supports Bluetooth 5 (LE) and Bluetooth Mesh, and can achieve long-distance communication through Coded PHY and broadcast extension. It also supports 2 Mbps PHY to increase transmission speed and data throughput. ESP32-S3's Wi-Fi and Bluetooth LE radio performance are excellent and can work stably even at high temperatures.
Rich IO interfaces: ESP32-S3 has 45 programmable GPIOs and commonly used peripheral interfaces such as SPI, I2S, I2C, PWM, , ADC, UART, SD/MMC host controller and TwAITM controller. 14 of the GPIOs can be configured as capacitive touch inputs for HMI interaction. In addition, ESP32-S3 is equipped with an ultra-low power coprocessor (ULP), which supports multiple low-power modes and is widely applicable to various low-power application scenarios.
software support: ESP32-S3 uses IoT development framework ESP-IDF. ESP-IDF has successfully enabled hundreds of millions of IoT devices, has undergone rigorous testing and release cycles, and has a clear and effective support strategy. Based on its software architecture, developers easier to build applications or migrate existing programs to the ESP32-S3 platform with their familiarity with tools and .

Supported large models: for Qwen2.5, for DeepSeekV3, for Doubao (1.5 Professional Edition), for QwenMax2.50
N16R8 (16M external flash/8M PSRAM)/AI I0T/dual Type-C USB ports/W2812 rgb/high-speed USB to serial port.
Note: This kit does not include the ESP32-S3 N16R8 mainboard.
Due to different batches, there may be differences in product appearance and printed text, which not affect use
Colour:As Shown
Material:PCB

Package Contents:
1 x Breadboard 0.91 inch Kit(without motherboard)

Only the above package content, other products are not included.
Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.