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 Xiaozhi AI upgraded 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.