
ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing

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The ESP32 S3-CAM AI Vision Module is a powerful AI-enabled camera development board built around the high-performance ESP32-S3 dual-core processor. Designed for IoT, robotics, machine vision, smart automation, and embedded AI applications, this compact module supports real-time WiFi image transmission, face recognition, color recognition, and intelligent vision processing.
Powered by the ESP32-S3 chip running at up to 240MHz, the module combines integrated WiFi, Bluetooth, 8MB PSRAM, and a 2MP OV2640 camera, making it ideal for AI edge computing without requiring cloud processing for many applications. The onboard USB Type-C interface, I2C/UART communication port, reset button, programmable user button, and expansion headers make development simple for beginners and professionals alike.
Available from BDTronics, the ESP32 S3-CAM is an excellent solution for AI learning, smart surveillance, robotics, industrial automation, machine vision, smart home systems, and embedded computer vision projects in Bangladesh.
Features:
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High-performance ESP32-S3 dual-core processor
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Dual-core 32-bit Xtensa CPU
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Clock speed up to 240MHz
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Computing performance up to 600 DMIPS
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Built-in WiFi for real-time image transmission
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Bluetooth 4.2 BR/EDR and BLE support
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2MP OV2640 camera
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Face recognition support
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Color recognition support
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AI vision processing
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Real-time wireless video streaming
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USB Type-C programming interface
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Firmware upgrade via USB Type-C
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I2C/UART communication interface
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Built-in PCB antenna
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External 8MB PSRAM
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32Mbit SPI Flash
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Compact DIP-16 design
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User programmable button
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Reset button
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Supports AP and STA WiFi modes
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JPEG, BMP, and grayscale image output
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Compatible with Arduino IDE and ESP-IDF
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Ideal for AI and computer vision development
Specifications:
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Product Type: AI Vision Development Board
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Main Chip: ESP32-S3
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CPU: Dual-Core 32-bit Xtensa LX7
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Maximum Clock Speed: 240MHz
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Computing Performance: Up to 600 DMIPS
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Camera Resolution: 2 Megapixels
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Camera Sensor: OV2640
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Field of View: 62°
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SPI Flash: 32Mbit
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RAM: 520KB Internal + 8MB External PSRAM
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WiFi Standard: IEEE 802.11 b/g/n/e/i
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Bluetooth: Bluetooth 4.2 BR/EDR + BLE
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Image Output Formats: JPEG (OV2640), BMP, Grayscale
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USB Interface: USB Type-C
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Communication Interfaces: UART, SPI, I2C, PWM
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GPIO Pins: 9
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Antenna: Built-in PCB Antenna (2dB Gain)
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Serial Baud Rate: 115200bps (Default)
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Operating Voltage: 4.75V–5.25V DC
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Operating Temperature: -20°C to +70°C
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Storage Temperature: -40°C to +125°C
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Humidity: >90% RH
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Package Type: DIP-16
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Module Size: 27 × 40.5 × 19mm
Applications:
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AI vision projects
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Face recognition systems
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Color detection systems
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Object detection prototypes
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Smart robots
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Educational robotics
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IoT devices
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Smart home automation
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Wireless surveillance cameras
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Video monitoring systems
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AI edge computing
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Image processing
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Industrial automation
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Machine vision
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Remote monitoring
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Smart agriculture
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Security systems
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DIY electronics
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Embedded AI development
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STEM education
Benefits:
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Powerful AI processing on the edge
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Real-time wireless image transmission
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Compact size for embedded applications
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Low power consumption
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Easy programming using USB Type-C
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High-speed WiFi communication
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Excellent for AI learning and prototyping
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Supports standalone operation
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Multiple communication interfaces
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Compatible with popular ESP32 development tools
Communication Interfaces:
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USB Type-C for programming and serial communication
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I2C interface
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UART interface
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WiFi 802.11 b/g/n/e/i
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Bluetooth 4.2 BR/EDR
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Bluetooth Low Energy (BLE)
Port Description:
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USB Type-C Port: Programming, firmware upload, serial communication
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Pin Header: Connection to ESP32 S3-CAM module
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Reset Button: Restart the module
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I2C/UART Port: Communication with external microcontrollers
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User Button: Custom programmable button for application development
Camera Features:
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2 Megapixel camera
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OV2640 image sensor
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62° field of view
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JPEG image output
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BMP image output
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Grayscale image output
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Real-time image streaming
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Face recognition
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Color recognition
How to Use:
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Connect the module to a computer using a USB Type-C cable.
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Install the ESP32 board package in Arduino IDE or use ESP-IDF.
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Select the appropriate ESP32-S3 board.
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Upload your firmware through the USB Type-C interface.
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Configure WiFi credentials for AP or STA mode.
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Access the camera stream through a web browser.
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Connect external controllers through the I2C/UART interface if required.
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Develop AI vision applications using the camera and onboard processing capabilities.
Package Includes:
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1 × ESP32 S3-CAM AI Vision Module
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1 × Expansion Board
Why Buy from BDTronics?
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Genuine ESP32 development boards
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Suitable for AI, robotics, and IoT development
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Fast delivery across Bangladesh
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BDTronics supplies ESP32 boards, Arduino boards, Raspberry Pi, robotics components, AI modules, sensors, cameras, displays, development tools, and electronic components
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Trusted supplier for makers, engineers, students, and industrial developers in Bangladesh
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BDTronics offers a wide range of embedded systems, AI hardware, and IoT development products
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General Questions
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What is the latest price of the ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing in Bangladesh?
The latest price of ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing in Bangladesh is Special Price BDT 2,250.00 Regular Price BDT 2,900.00 . You can buy the ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing at the best price on BDTronics.com or contact us via phone.
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Where to buy ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing in Bangladesh?
You can buy ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing online by ordering on BDTronics.com or directly collect by visiting our store in person. BDTronics is a trusted provider of high-quality electronics, 3D printers, solar systems, and robotics parts. We offer fast shipping across the country via courier service.
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What are the delivery options of ESP32 S3-CAM AI Vision Module WiFi Face Recognition Image Processing in Bangladesh?
We provide home delivery service all over Bangladesh. We support Cash on Delivery, Online Bank Transfer, bKash and Credit Card (Visa/ MasterCard/ Amex) payment solutions. The delivery time usually takes 1-2 days inside Dhaka and 2-4 days outside Dhaka.
