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Load image into Gallery viewer, ESP32-S3 AI Vision Module
Load image into Gallery viewer, ESP32-S3 AI Vision Module
Load image into Gallery viewer, ESP32-S3 AI Vision Module
Load image into Gallery viewer, ESP32-S3 AI Vision Module
Load image into Gallery viewer, ESP32-S3 AI Vision Module
Load image into Gallery viewer, ESP32-S3 AI Vision Module
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ESP32-S3 AI Vision Module

SKU: HIWND-394

Regular price ₹ 2,549.99
Sale price ₹ 2,549.99 Regular price
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ESP32-S3 AI Vision Module Support Wi-Fi Video Transmission, Face and Color Recognition, Dual-Mode Network Communication

The ESP32-S3 camera module is a cost-effective AI solution for your project, based on the high-performance ESP32-S3 chip. It offers various functions, including Wi-Fi video live streaming, color recognition, face recognition, line following, and more. This module features a 2-megapixel camera and uses industry-grade manufacturing technology. It is programmed in C/C++ and includes a Type-C serial port, I²C port, and custom key for convenient hardware interaction. Additionally, we provide comprehensive microcontroller routines, schematics, a camera function development feature pack, and a Linux environment image to facilitate your development and learning, making it a complete remote AI vision solution for developers!

 


ESP32 High-Performance Chip

The ESP32-S3 is a high-performance, low-power dual-mode chip that features adual-core Xtensa 32-bit LX7 processor with a computing power of up to 600DMIPS.


Two Communication Ports

The module integrates a Type-C serial port and an IIC port, supporting two communication methods. These ports allow the module to outputand display 3D coordinate parameters for face recognition and color recognition.


Firmware Upgrade Support

The ESP32-S3 vision module features a Type-C port that allows users to connect the module to a computer via a Type-C cable for firmware upgrades. This process enhances data transmission speed and stability, simplifies development procedures, and facilitates quick downloading and debugging.

Equipped with Protective Case, Custom Key

The ESP32-S3 vision module has a compact design and a protective casing that enhances durability and safety. Additionally, the module includes a custom key that allows users to program itsfunction, enabling specific operations and event triggers. This enhances the module's flexibility and practicality.

 

 

WiFi Live Video Stream

The ESP32-S3 vision module offers two communication modes: Access Point (AP) hotspot mode for direct connections and Station (STA) LAN mode. Users can connect via WiFi to access a designated URL, allowing them to view HD live camera feeds. This setup facilitates efficient AI model training and swift recognition.


PC WiFi Video Transmission


Mobile WiFi Video Transmission

 


 Dual Network Communication Modes

AP Hotspot Direct Connection Mode: In this mode, the vision module can create a hotspot that other devices can connect to. STA LAN Mode: In this mode, the vision module can connect to a specified hotspot.

 

 

Intelligent Vision Recognition


Face Recognition

The vision module employs a lightweight convolutional neural network algorithm torecognize faces within its field of view.


Color Recognition

By utilizing a color threshold segmentation algorithm, the vision module canachieve accurate color recognition.



Compatible with Various Controllers

The vision module can be integrated with ESP32, Raspberry Pi, and other common controllers and development platforms. This wide compatibility offers greater flexibility for use in diverse projects, meeting various application scenarios and needs, and helping users achieve a broad range of AI functions.



 

 

Compatible with Multiple Robots

 

 

Specifications

Item Specification
Size 59×43×17.5 mm
Weight 32.5 g
Power supply range 4.75 - 5.25V
Camera 2-megapixel
SPI Flash Maximum: 16MB
RAM Internal: 512KB
External: 16MB PSRAM
Bluetooth Support Bluetooth 5 and Bluetooth Mesh
Serial baud rate Default: 115200
WiFi 802.11b/g/n
Supported port UART, I2C

 

 

ESP32-S3 Vision Module Packing List

 

VIDEO

 

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