ESP32-S3-DevKitC-1 N16R8 Development Board with OV5640 5MP Camera Module (16MB Flash, 8MB PSRAM, Dual Type-C)
Accelerate your AI-vision, machine learning, and IoT projects with the ESP32-S3-DevKitC-1 N16R8 Development Board with OV5640 Camera Module. Driven by Espressif's ESP32-S3-WROOM-1-N16R8 module, this board packs a 32-bit dual-core Xtensa LX7 processor running at up to 240 MHz with dedicated vector instructions for AI acceleration. Paired with a high-resolution 5 Megapixel OV5640 camera sensor, 16MB Quad SPI Flash, and 8MB Octal PSRAM, this board easily handles high-resolution video streaming, local face recognition, object classification, and edge AI processing. Features dual USB Type-C ports (USB OTG and UART Debugging) and onboard 2.4GHz Wi-Fi + Bluetooth 5 (LE).
₹ 1,079
₹ 1,499
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The ESP32-S3-DevKitC-1 N16R8 Board with OV5640 Camera Module is an advanced flagship development platform designed for Edge AI, TinyML, wireless video streaming, and smart computer vision applications. Built around the powerful ESP32-S3-WROOM-1 module, it integrates the Xtensa 32-bit LX7 dual-core microcontroller equipped with vector instructions that significantly accelerate neural network computing and signal processing tasks.
Unlike standard 2MP camera boards, this kit includes the upgraded OV5640 5MP optical camera sensor, supporting resolutions up to 2592×1944 pixels with integrated auto-exposure, white balance, and sharp image processing. Backed by 16MB of SPI Flash Memory and 8MB of High-Speed Octal PSRAM, the hardware easily allocates sufficient buffer memory for handling raw 5MP frames, JPEG encoding, web streaming servers, and onboard machine learning models simultaneously.
The development board includes dual USB Type-C ports: one dedicated to native USB OTG/JTAG hardware debugging and another connected to a USB-to-UART bridge IC for seamless serial monitoring and code flashing across Arduino IDE, ESP-IDF, and MicroPython environments.
Key Features and Benefits
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High-Performance AI Processor: Dual-core 32-bit Xtensa LX7 MCU up to 240MHz with built-in vector processing extensions for TensorFlow Lite and ESP-WHO AI frameworks.
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5MP OV5640 High-Resolution Camera: Upgraded 5 Megapixel camera module providing crisp image capture and high-frame-rate video streaming compared to basic OV2640 sensors.
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Massive 16MB Flash + 8MB Octal PSRAM: High-speed memory configuration enables buffer-heavy tasks such as frame buffering, local face recognition, and data logging.
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Dual USB Type-C Connectivity: Dedicated USB-to-UART port for flashing/debugging plus direct USB OTG port for native keyboard, mouse, or USB storage emulation.
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Comprehensive Wireless Stack: Supports 2.4GHz Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE) with long-range support and mesh networking capability.
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Onboard RGB & Status LEDs: Features an addressable WS2812 RGB LED alongside standard power and serial transmission indicators for visual status output.
Technical Specifications
| Feature Component | Specification Details |
|---|---|
| System Module | ESP32-S3-WROOM-1-N16R8 |
| Processor Core | 32-bit Xtensa Dual-Core LX7 @ up to 240 MHz |
| Onboard Flash Memory | 16 MB (N16 - Quad SPI) |
| Onboard PSRAM | 8 MB (R8 - Octal SPI) |
| Camera Sensor | OV5640 5MP (2592×1944 Max Resolution) |
| Wireless Connectivity | 2.4 GHz Wi-Fi (802.11 b/g/n) + Bluetooth 5.0 (LE) |
| Operating Voltage (VCC) | 5.0V DC (via USB Type-C or 5V pin) / 3.3V DC logic |
| Power Consumption | ≈100mA idle / up to 350mA active streaming with camera |
| USB Interfaces | 2× USB Type-C (UART Debugging + Native USB OTG/JTAG) |
| Peripherals Interfaces | GPIO, SPI, I2C, I2S, UART, ADC, PWM, SD/MMC, DVP Camera interface |
Hardware Layout & Pinout Reference
1. Interface Layout:
+---------------------------------------------------+
| OV5640 5MP |
| Camera Connector |
+---------------------------------------------------+
| [BOOT] [RESET] |
| |
| [ ] 3V3 GND [ ] |
| [ ] 5V IO17 [ ] |
| [ ] IO1 IO18 [ ] |
| [ ] IO2 IO8 [ ] |
| [ ] IO42 IO19 [ ] |
| ... ... |
| |
| [USB-UART] [USB-OTG] |
+-------------+ +--------------+
| Type-C 1 | | Type-C 2 |
+-------------+ +--------------+
2. Key Power & Control Pins:
| Pin Label | Type | Function / Recommended Usage |
|---|---|---|
| 5V | Power Input | 5V DC Power input from external regulated power supply |
| 3V3 | Power Output/In | Onboard LDO 3.3V output rail (Max 500mA) |
| GND | Ground | Common System Power Ground |
| IO0 | Digital I/O | Boot mode selection pin (Pull LOW during reset to enter ROM bootloader) |
| IO19 / IO20 | USB D- / D+ | Native USB OTG / JTAG hardware connection pins |
| TXD0 / RXD0 | Serial UART | Main programming UART bridge connected to Type-C UART chip |
POWER SUPPLY NOTE: When streaming 5MP video frames via Wi-Fi with the camera active, peak current draws can reach up to 450mA. Use a high-quality USB cable connected to a stable 5V/2A power source to prevent sudden brownout resets.
Applications
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Edge AI & Smart Computer Vision: On-device face detection, gesture recognition, and person counting using ESP-WHO/TensorFlow Lite.
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High-Resolution Wireless Video Streaming: Security camera nodes, RTSP video streaming servers, and smart doorbell systems.
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Industrial Monitoring & OCR: Automatic meter reading, optical character recognition (OCR), and defect inspection.
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Smart Agriculture & Robotics: Autonomous rover visual navigation, crop health logging, and remote tele-presence.
Package Includes
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1 x ESP32-S3-DevKitC-1 N16R8 Development Board (16MB Flash / 8MB PSRAM)
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1 x OV5640 5MP Camera Sensor Module with FPC Ribbon Cable
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2 x 22-Pin Male Header Strips (Unsoldered or Pre-soldered depending on batch)
Shipping & Delivery
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Free shipping on orders above ₹999 across India
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Dispatched within 1-3 business days
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Expected delivery: 3-7 business days depending on location
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Anti-static ESD protective packaging for safe transit
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