| Name | ESP32 CAM Dev Board OV3660 3Megapixel Camera |
| Code | MD1052 |
| Price | Rs.2,750.00 |
| In Stock | Yes |
| Package | MODULE |
The ESP32-CAM OV3660 Development Board is an edge-AI vision platform that bridges the gap between basic 2MP (OV2640) camera modules and power-hungry 5MP (OV5640) systems. By pairing the dual-core 32-bit ESP32 chip with an upgraded 3-Megapixel OV3660 camera sensor, this board delivers sharper image resolution, improved low-light sensitivity, and enhanced dynamic range while maintaining high frame rates over local Wi-Fi and Bluetooth networks.
Specification
- Core Microcontroller: Espressif Systems ESP32-D0WDQ6 (Xtensa Dual-Core 32-bit LX6 up to 240 MHz)
- Memory Architecture:
- Internal SRAM: 512 KB
- External PSRAM: 4 MB
- Storage Expansion: Onboard MicroSD card slot (supports up to 4GB)
- Camera Sensor Specifications:
- Image Sensor: OmniVision OV3660 (3.0 Megapixel CMOS matrix)
- Maximum Image Resolution: 2048 x 1536 pixels (QXGA)
- Output Formats: Hardware-compressed JPEG, RAW RGB, YUV422/420, RGB565
- Pixel Architecture: 1.75 μm x 1.75 μm pixels with OmniPixel3-HS™ technology (Superior low-light capture)
- Wireless Transceiver:
- Wi-Fi: 802.11 b/g/n (2.4GHz)
- Bluetooth: BLE 4.2 with onboard PCB antenna
- Onboard Subsystems: Bright white flash LED + Reset tactile button
- Operating Supply Voltage (VCC): 5.0V DC input (onboard LDO regulates to 3.3V)
- Power Draw: Approx 160mA base operational idle; up to 350mA - 400mA peak during active flash firing and Wi-Fi data transmission
Features
- Balanced 3MP Resolution Profile: Offers a maximum resolution of 2048 x 1536 pixels, providing 2.25 x more detail than baseline 2MP sensors. This extra clarity helps in reading barcodes, recognizing license plates, and detecting facial features without overwhelming the ESP32’s RAM or network bandwidth.
- Enhanced Low-Light Sensitivity (OmniPixel3-HS™): The OV3660 sensor features higher light sensitivity and a better signal-to-noise ratio than older camera modules. It captures clearer images in dim or fluctuating indoor lighting without introducing excessive visual noise.
- Hardware JPEG Compression Engine: Automatically compresses raw image data into lightweight JPEG streams inside the camera module itself. This offloads heavy image processing tasks from the ESP32 core, maintaining smooth frame rates during web streaming.
- Integrated MicroSD & PSRAM: Built with external PSRAM to handle high-resolution image buffering seamlessly alongside a MicroSD card slot for local event logging and offline image storage.
Common Applications
- Smart Home Security & Video Doorbells: Capturing clear snapshots of visitors or packages at entryways and streaming live feeds to home automation dashboards (like Home Assistant).
- Industrial Barcode & Optical Inspection: Reading small QR codes, printed text, or serial numbers on automated conveyor lines.
- Edge AI & Object Recognition: Serving as a visual input for TinyML and TensorFlow Lite models running locally on the ESP32 to detect people, vehicles, or specific objects.
- 3D Printer Monitoring: Streaming real-time high-definition video over local Wi-Fi to monitor 3D prints and automatically pause jobs if printing errors occur.
Professional Programming & Usage Tips
- Supply a Stable 5V (1.5A+) Power Rail: Wi-Fi transmissions combined with camera frame captures create sudden current spikes. If powered by a weak USB port or thin jumper wires, the board will experience voltage sags, leading to constant brownout resets or Wi-Fi drops. Always power the board via a clean, dedicated 5V power source.
- Enable PSRAM in Your IDE Settings: When compiling firmware in Arduino IDE, PlatformIO, or ESP-IDF, you must explicitly enable PSRAM (
Tools->PSRAM: Enabled). Without PSRAM initialized, attempting to capture images higher than VGA resolution will instantly crash the board with a memory allocation error. - Update Sensor PID Definitions in Firmware: When flashing standard ESP32 camera sketches (like the example Camera Web Server), ensure the code supports the OV3660 sensor. Set your frame size correctly (e.g.,
FRAMESIZE_QXGAfor full 3MP resolution) and verify the sensor PID detection includesOV3660_PID. - Protect the Flexible Camera Ribbon: The 24-pin DVP flexible flat cable (FFC) connecting the OV3660 camera to the motherboard is delicate. Avoid bending it at sharp angles or placing it directly over the ESP32's PCB trace antenna, which can introduce electromagnetic noise into the video feed.
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