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ESP32 S3-Cam AI Vision Module

SKU: HIWND-393

₹ 1,699.99

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ESP32 S3-Cam AI Vision Module₹ 1,699.99
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ESP32 S3-Cam AI Vision Module ESP32-S3 Chip WiFi Real-Time Image Transmis-sion for IoT, AI and Robot Development

The ESP32 S3-Cam AI vision module is compact and cost-effective. Built on the ESP32 platform, it enables WI-FI image transmission, face recognition, color recognition, and other AI functions. This module features an independent expansion board design, along with a Type-C port, IIC port, reset button, user-defined button, and more. Additionally, we provide microcontroller source code, schematics, and a camera feature development pack to support users' development and learning. The ESP32 S3-Cam is an ideal option for a wide range of robot development projects.

 


WIFI Wireless Image Transmission

The ESP32 S3-Cam vision module supports both AP and STA working modes. By connecting to the hotspot and accessing the specified website, users can view the high-definition live camera feed.


Intelligent Vision Recognition

The ESP32 S3-Cam vision module can recognize human faces and colors. Furthermore, it can output three-dimensional coordinates through the IIC/serial port. Additionally, we provide source code routines to facilitate user expansion.

 

 

Hardware Features


ESP32 High-Performance Chip

The module utilizes the ESP-32S high-performance chip, featuring a low-power-consumption dual-core 32-bit CPU, a main frequency of 240MHz, and computing ability of up to 600DMIPS.


Two Communication Ports

The module features an on-board Type-C port, IIC/UART port, and supports two communication methods. Parameters such as face recognition/color recognition 3D coordinates can be outputted through the communication port.


On-board Custom Button

Supports I2C communication start-up. Additionally, the onboard reset button and a custom programmable button meet users' programming requirements.

Support Firmware Upgrade

The module features a Type-C port, allowing users to connect it to a computer using a Type-C cable for firmware upgrades, enabling swift downloads and debugging.

 

 

Support Multiple Controllers


ESP32 S3-Cam Module Connection Arduino


ESP32 S3-Cam Module Connection ESP32

 

 



Pin Description



Dimensional Diagram


 

Port Specifications
Type-C Port Serial communication and firmware burning
Pin Header Connect to the ESP32 S3-Cam module
Reset Button Press down to restart the programs
IIC/UART Port Secondary development port for connecting to the main controller
User-defined Button User-defined extension development
Camera Parameters
Camera 2 megapixel
Field of View 62°

 

 

Application Scenario

 

 

SPECIFICATIONS

Item Specification
Size 27 × 40.5 × 19 mm
Package DIP-16
Power Supply Voltage Range 4.75–5.25V
Operating Temperature -20℃ to 70℃
Storing Environment -40℃ to 125℃, >90% RH
SPI Flash Default: 32 Mbit
RAM Internal 520KB + External 8MB PSRAM
Bluetooth Bluetooth 4.2 BR/EDR and BLE standard
Serial Port Speed Default: 115200 bps
Image Output Format JPEG (only OV2640), BMP, GRAYS
Wi-Fi 802.11 b/g/n/e/i
Supporting Ports USRT, SPI, I2C, PWM
Supported TF Card Capacity Maximum: 4GB
Quantity of IO Ports 9
Spectrum Range 2400–2483.5 MHz
Antenna Type Built-in PCB antenna with 2dB gain

 

 

Packing List

 

 

VIDEO

 

What are the main features of the ESP32 S3-Cam AI Vision Module?
The module uses the ESP32 S3 chip for wifi real time image transmission, face recognition, color recognition, and optional 3D coordinate output via IIC or serial. It also supports an independent expansion board, a Type-C port, IIC port, a reset button, and a user defined button.
How can wifi connectivity be used to view live video?
The device supports wifi in AP and STA modes; by connecting to a hotspot and visiting the specified website, you can view the high definition live camera feed.
What are the hardware specifications such as cpu and memory?
It is powered by the ESP32 S3 dual core 32 bit CPU at up to 240 MHz with up to 600 DMIPS. It includes 520 KB internal RAM plus external 8 MB PSRAM and 32 Mbit SPI flash.
What development and compatibility options are provided?
The module supports Arduino ESP32 S3-Cam module connections for compatibility with common development workflows. Firmware upgrades are supported through the Type-C port. Source code routines, schematics, and a camera feature development pack are provided to support learning and prototyping.
What are typical use cases and where is it best suited?
It is ideal for IoT, AI, and robot development projects requiring wifi image transmission and AI features such as face and color recognition.
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Description
Ask AI about this product

ESP32 S3-Cam AI Vision Module ESP32-S3 Chip WiFi Real-Time Image Transmis-sion for IoT, AI and Robot Development

The ESP32 S3-Cam AI vision module is compact and cost-effective. Built on the ESP32 platform, it enables WI-FI image transmission, face recognition, color recognition, and other AI functions. This module features an independent expansion board design, along with a Type-C port, IIC port, reset button, user-defined button, and more. Additionally, we provide microcontroller source code, schematics, and a camera feature development pack to support users' development and learning. The ESP32 S3-Cam is an ideal option for a wide range of robot development projects.

 


WIFI Wireless Image Transmission

The ESP32 S3-Cam vision module supports both AP and STA working modes. By connecting to the hotspot and accessing the specified website, users can view the high-definition live camera feed.


Intelligent Vision Recognition

The ESP32 S3-Cam vision module can recognize human faces and colors. Furthermore, it can output three-dimensional coordinates through the IIC/serial port. Additionally, we provide source code routines to facilitate user expansion.

 

 

Hardware Features


ESP32 High-Performance Chip

The module utilizes the ESP-32S high-performance chip, featuring a low-power-consumption dual-core 32-bit CPU, a main frequency of 240MHz, and computing ability of up to 600DMIPS.


Two Communication Ports

The module features an on-board Type-C port, IIC/UART port, and supports two communication methods. Parameters such as face recognition/color recognition 3D coordinates can be outputted through the communication port.


On-board Custom Button

Supports I2C communication start-up. Additionally, the onboard reset button and a custom programmable button meet users' programming requirements.

Support Firmware Upgrade

The module features a Type-C port, allowing users to connect it to a computer using a Type-C cable for firmware upgrades, enabling swift downloads and debugging.

 

 

Support Multiple Controllers


ESP32 S3-Cam Module Connection Arduino


ESP32 S3-Cam Module Connection ESP32

 

 



Pin Description



Dimensional Diagram


 

Port Specifications
Type-C Port Serial communication and firmware burning
Pin Header Connect to the ESP32 S3-Cam module
Reset Button Press down to restart the programs
IIC/UART Port Secondary development port for connecting to the main controller
User-defined Button User-defined extension development
Camera Parameters
Camera 2 megapixel
Field of View 62°

 

 

Application Scenario

 

 

SPECIFICATIONS

Item Specification
Size 27 × 40.5 × 19 mm
Package DIP-16
Power Supply Voltage Range 4.75–5.25V
Operating Temperature -20℃ to 70℃
Storing Environment -40℃ to 125℃, >90% RH
SPI Flash Default: 32 Mbit
RAM Internal 520KB + External 8MB PSRAM
Bluetooth Bluetooth 4.2 BR/EDR and BLE standard
Serial Port Speed Default: 115200 bps
Image Output Format JPEG (only OV2640), BMP, GRAYS
Wi-Fi 802.11 b/g/n/e/i
Supporting Ports USRT, SPI, I2C, PWM
Supported TF Card Capacity Maximum: 4GB
Quantity of IO Ports 9
Spectrum Range 2400–2483.5 MHz
Antenna Type Built-in PCB antenna with 2dB gain

 

 

Packing List

 

 

VIDEO

 

FAQ
What are the main features of the ESP32 S3-Cam AI Vision Module?
The module uses the ESP32 S3 chip for wifi real time image transmission, face recognition, color recognition, and optional 3D coordinate output via IIC or serial. It also supports an independent expansion board, a Type-C port, IIC port, a reset button, and a user defined button.
How can wifi connectivity be used to view live video?
The device supports wifi in AP and STA modes; by connecting to a hotspot and visiting the specified website, you can view the high definition live camera feed.
What are the hardware specifications such as cpu and memory?
It is powered by the ESP32 S3 dual core 32 bit CPU at up to 240 MHz with up to 600 DMIPS. It includes 520 KB internal RAM plus external 8 MB PSRAM and 32 Mbit SPI flash.
What development and compatibility options are provided?
The module supports Arduino ESP32 S3-Cam module connections for compatibility with common development workflows. Firmware upgrades are supported through the Type-C port. Source code routines, schematics, and a camera feature development pack are provided to support learning and prototyping.
What are typical use cases and where is it best suited?
It is ideal for IoT, AI, and robot development projects requiring wifi image transmission and AI features such as face and color recognition.
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