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ESPRESSIF Announced ESP32-S3 for AIoT Applications

Shanghai-based ESPRESSIF announces the newest addition to Espressif’s series of MCUs, ESP32-S3, which has been specially designed to address the needs of the AIoT market.

ESP32-S3

Comparing with its previous version of ESP 32, it supports larger, high-speed octal SPI flash, and PSRAM with configurable data and instruction cache.

What is AIoT?

AIoT:= (AI + IoT Artificial Intelligence of Things) AioT is driven by 3 Key Technologies they’re Artificial Intelligence AI, 5G Networks, and Big Data.

AI meets IoT
AIoT architecture

ESP32-S3 key features and specifications:

  1. CPU –
    • Dual-core Tensilica LX7 up to 240 MHz same as ESP32-S2 with additional vector instructions  for AI acceleration
    • ULP core to handle low power modes
  2. Memory – 512 KB of internal SRAM
  3. Storage – Octal SPI flash and PSRAM support (supports larger, high-speed devices compared to ESP32)
  4. Connectivity
    • 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support
    • Bluetooth Low Energy (BLE) 5.0 connectivity with long-range support, up to 2Mbps data rate. Wi-Fi and BLE have superior RF performance maintained even at high temperatures.
  5. Peripherals
    • 44x programmable GPIOs (10 more than ESP32)
    • SD/MMC host
    • SPI, I2C, PWM, UART, RMT (Remote Control), TWAITM (Two-Wire Automotive Interface)
    • ADC, DAC
    • I2S
    • USB OTG
    • Capacitive touch input
    • ULP (Ultra-Low-Power) core that supports multiple low-power modes in a variety of such use-cases.
  6. Security
    • AES-XTS-based flash encryption
    • RSA-based secure boot.
    • Digital signature peripheral and an HMAC module (similar to a secure element)
    • World Controller” peripheral that provides two fully-isolated execution environments and enables a trusted-execution environment or a privilege-separation scheme.

Firstly, the ESP32-S3 is coming with its AI Acceleration Support through which Artificial Intelligence applications can take advantage of the ESP32-S3’s vector instructions in the MCU. These provide acceleration for neural networks and signal processing loads. Also, The software libraries for the above-mentioned optimized functions will become available very soon, in the form of updates to ESP-WHO and ESP-Skainet Github Repositories.

Trending: Top three soon to be trends in Artificial Intelligence (AI)

Also, the ESP-IDF platform supports the ESP 32-S3 which has an unparalleled support policy powering millions of devices in the market. With ESP-IDF’s mature software architecture, developers can easily build applications, migrate their own applications to the ESP32-S3 platform, and continue working with the trusted ESP-IDF tools and APIs.

Moreover, “ESP32-S3 is an overall optimization in terms of connectivity, AI computing power, security, IO availability, and peripheral interfaces.” ESP32-S3 aims to provide cost-effective and easy-to-develop AIoT solutions.

Piyush Pawar

With his good SEO skills and vast Technical knowledge, Piyush had a broad experience in content writing. He has good hands-on Technical and Non-Technical tools. Always motivated to share his knowledge through his writing and on Social Media platforms. https://www.instagram.com/piyuush_/?hl=en

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