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 malicious attacks and threats. It supports flash encryption based on -XTS algorithm, secure boot based on algorithm, digital signature and HMAC. ESP32-S3 also adds a "World Controller" module, which provides two non-interfering execution environments to implement a trusted execution environment or permission 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, which can achieve long-distance communication through Coded PHY and broadcast extension. It also supports 2 Mbps PHY to increase mission 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 common 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 used in low-power application scenarios. software support - ESP32-S3 uses the IoT development framework ESP-IDF. ESP-IDF has successfully enabled dreds of millions of IoT devices, has undergone rigorous testing and release cycles, and has a clear and effective support strategy. Bas