Security you can rely on - Comprehensive security mechanism: ESP32-S3 provides hardware-based protection to prevent malicious attacks and threats. It supports flash encryption based on the XTS algorithm, secure boot based on the algorithm, digital signatures and HMAC. - World Controller module: adds a new two-environment non-interfering execution framework to implement a trusted execution environment or a privilege separation mechanism. Rich and flexible IO - 45 programmable GPIOs enable wide connectivity for complex applications. - Common peripheral interfaces include SPI, I2S, I2C, PWM, ADC, UART, SD/MMC host controller, and TwAITM controller. - Capacitive touch: 14 GPIOs can be configured as capacitive touch inputs for human-machine interaction. - Ultra-low power support: built-in ultra-low power coprocessor (ULP) with multiple low-power modes, suitable for various low-power scenarios. AI acceleration at the edge - Vector instructions to accelerate neural network calculations and signal processing. - AI software libraries: ESP- and ESP-NN libraries provide access to the vector capabilities for high-performance image recognition, voice wake-up, and recognition tasks. - Compatibility: ESP-WHO and ESP-Skainet also support this AI acceleration feature. Wireless connectivity and performance - Wi-Fi and Bluetooth 5 (LE) integration: 2.4 GHz Wi-Fi (802.11 b/g) with 40 MHz bandwidth. - Bluetooth capabilities: low-power Bluetooth 5 (LE) with Bluetooth Mesh support; long-distance communication via Coded PHY and broadcast extension. - Speed and throughput: supports 2 Mbps PHY to increase transmission speed and data throughput. - Environmental resilience: designed to maintain strong Wi-Fi and Bluetooth LE radio performance with stable operation at high temperatures. Use scenarios - Industrial IoT security gateways and sensors: leverage hardware encryption, secure boot, digital signatures, and HMAC to protect data and device integrity, with a trusted execution environment for sensitive operations. - Smart home devices and cameras: on-device AI for image recognition and voice wake-up using vector instruction acceleration, reducing cloud dependency and latency. - Battery-powered edge devices and sensors: ULP coprocessor enables extended operation in low-power environments, while rich IO and capacitive touch support interactive interfaces. - Wireless edge hubs: robust Wi-Fi and Bluetooth LE performance, including long-range communication options through coded PHY and Mesh, suitable for distributed sensor networks and smart ecosystems.