ESP32-C3 Supermini

ESP32-C3 Supermini is an low-power and highly-integrated MCU-based solution in a small form factor that supports 2.4 GHz Wi-Fi and Bluetooth Low Energy (Bluetooth LE). Great MCU for IOT (Internet of Things) and Wearable projects.

Specifications :

CPU and Memory :

• 32-bit RISC-V single-core processor, up to 160 MHz
• CoreMark® score:
  – 1 core at 160 MHz: 407.22 CoreMark; 2.55 CoreMark/MHz
• 384 KB ROM
• 400 KB SRAM (16 KB for cache)
• 8 KB SRAM in RTC
• In-package flash
• SPI, Dual SPI, Quad SPI, and QPI interfaces that allow connection to multiple off-package flash
• Access to flash accelerated by cache
• Supports flash in-Circuit Programming (ICP)

Power :

• USB Power Type-C Connector 5V

Pinout :

• 13 programmable GPIOs
• Power
  – 5v
  – 3.3v
• Digital interfaces:
  – 1 × SPI
  – 1 × UART
  – 1 × I2C
  – 1 × I2S
  – 1 x LED PWM controller
• Analog interfaces:
  – 2 × 12-bit SAR ADCs, up to 6 channels
• Timers:
  – 2 × 54-bit general-purpose timers
  – 3 × digital watchdog timers
  – 1 × analog watchdog timer
  – 1 × 52-bit system timer

Wi-Fi :

• IEEE 802.11 b/g/n-compliant
• Supports 20 MHz, 40 MHz bandwidth in 2.4 GHz band
• 1T1R mode with data rate up to 150 Mbps
• Wi-Fi Multimedia (WMM)
• TX/RX A-MPDU, TX/RX A-MSDU
• Immediate Block ACK
• Fragmentation and defragmentation
• Transmit opportunity (TXOP)
• Automatic Beacon monitoring (hardware TSF)
• 4 × virtual Wi-Fi interfaces
• Simultaneous support for Infrastructure BSS in Station mode, SoftAP mode, Station + SoftAP mode, and promiscuous mode
  • Note that when ESP32-C3 scans in Station mode, the SoftAP channel will change along with the Station
    channel
• Antenna diversity
• 802.11mc FTM

Bluetooth :

• Bluetooth LE: Bluetooth 5, Bluetooth mesh
• High power mode (20 dBm)
• Speed: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
• Advertising extensions
• Multiple advertisement sets
• Channel selection algorithm #2
• Internal co-existence mechanism between Wi-Fi and Bluetooth to share the same antenna

IOT Project :

• Wifi and BLE Data Logging using firebase, thingspeak and other cloud platforms

“>