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ESP32-S3 AI Vision Module Support WiFi Video Transmission, Face and Color Recognition, Dual-Mode Network Communication
Product SKU: 21090122
- 【Ultra High Resolution with WiFi Video Transmission】 This module features a 2-megapixel camera and supports dual-mode network communication for real-time WiFi video transmission.
- 【Developed upon ESP32-S3 Chip】 Powered by the ESP32-S3 chip, it operates at frequencies of up to 240MHz and supports Type-C and IIC communication protocols.
- 【Intelligent Vision Recognition】The S3 vision module is capable of face recognition, color detection, line tracking, and more, with options for custom recognition features.
- 【Versatile Compatibility】Works with Arduino, Raspberry Pi, and other platforms for a range of applications
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Product Description
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 WiFi 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 includesa Type-C serial port, IIC 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: AP hotspot mode for direct connections and 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.
Line Following
The vision module uses a color threshold segmentation algorithm to precisely recognize lines of different colors.
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
| Port Name | Port Description |
| USB port | Serial communication and firmware upload |
| IIC port | Secondary development port for connecting to the main controller |
| Custom key | User-defined expansion options |
| Camera Parameters | |
| Camera | 2-magapixel |
| Field of view | 123° |
| ESP32-S3 Vision Module Parameters | |||
| Size | 59*43*17.5mm | Weight | 32.5g |
| Power supply range | 4.75-5.25V | Camera | 2-magapixel |
| SPI Flash | Maximum: 16MB | RAM | Internal: 512KB External: 16MBPSRAM |
| Bluetooth | Support Bluetooth 5 and Bluetooth Mesh | Serial baud rate | Default: 115200 |
| WiFi | 802.11b/g/n | Supported port | UART, I2C |
| ESP32-Cam Vision Module Parameter | |
| Size | 59*43*17.5mm |
| Weight | 32.5g |
| Power supply range | 4.75-5.25V |
| Camera | 2-magapixel |
| SPI Flash | Maximum: 16MB |
| RAM | Internal: 512KB External: 16MBPSRAM |
| 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
| Item | Specification |
| Size | 59*43*17.5mm |
| Weight | 32.5g |
| Power supply range | 4.75-5.25V |
| Camera | 2-magapixel |
| SPI Flash | Maximum: 16MB |
| RAM | Internal: 512KB External: 16MBPSRAM |
| Bluetooth | Support Bluetooth 5 and Bluetooth Mesh |
| Serial baud rate | Default: 115200 |
| WiFi | 802.11b/g/n |
| Supported port | UART, I2C |
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