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ESP32-S3 Visual Recognition Module AI Camera Image Face Color QR Code Detection Sensor Electronic | XiaoR GEEK

$31.20 $39.00

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SKU: JFZ88045284

Description

  • The module utilizes the high-performance, low-power dual-mode ESP32-S3 chip with a dual-core Xtensa 32-bit LX7 processor, delivering a computing power of up to 600 DMIPS.
  • Multiple communication interfaces: The board features multiple communication methods, including a Type-C interface and an IIC/UART interface. It can output coordinate data of key parameters such as face detection and color recognition through the interface
  • Supports firmware flashing: The vision module can be connected to a computer via a Type-C data cable for firmware flashing, facilitating quick download and debugging. Modular design.
  • Supports multiple functions: face recognition, cat face recognition, color recognition, and QR code recognition.
  • Compatible with multiple controllers: The onboard UART/I2C interface can be connected to mainstream controllers such as Arduino, STM32, Raspberry Pi, and micro:bit to directly output recognition results to the controller.

XiaoR GEEK ESP32 S3 vision module is a powerful and cost-effective AI vision module developed based on the ESP32-S3 chip. It supports multiple functions including color recognition, QR code recognition, visual line following, and face recognition. Adopting a modular design, it comes with a 3D printed shell and provides model files to give users more room for innovation. The module has onboard serial and I2C interfaces, making it compatible with platforms such as STM32, Raspberry Pi, Arduino, and 51 microcontrollers. Outputting recognition data through these interfaces enables efficient integration. The product provides complete open-source code, supporting secondary development and helping developers easily realize their innovative ideas.

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Delivery Time: It usually takes [3-5] business days for standard shipping. Please note that this is an estimated time frame and may be affected by local holidays, and unforeseen circumstances.

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