Imaging Solutions with the High-Performance 5MP OV5640 CMOS Image Sensor Module for ESP32 Camera Integration
Product Details:
Place of Origin: | China |
Brand Name: | Sinoseen |
Certification: | RoHS、ISO9001、CE |
Payment & Shipping Terms:
Minimum Order Quantity: | 5 |
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Price: | negotiable |
Packaging Details: | Tray+Anti-static bag in carton box |
Delivery Time: | 2-3week |
Payment Terms: | T/T |
Supply Ability: | 500000 pieces/month |
Detail Information |
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Type: | ESP32 Camera Module | Sensor: | OV5640 |
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Resolution:: | 2592*1944 | Dimensions:: | 38mmx38mm (compatible With 32mmx32mm) |
Highlight: | 5MP CMOS Image Sensor Module,ESP32 Camera CMOS Image Sensor Module,OV5640 CMOS Image Sensor Module |
Product Description
This high-performance OV5640 CMOS image sensor module is designed for versatile imaging applications and is particularly suitable for ESP32 camera module integration. It is capable of outputting images up to 5 megapixels (2592x1944) and provides excellent image quality and rich features in a compact 1/4-inch optical size.
The OV5640 sensor uses OmniBSI™ technology to ensure that clear and vivid images can be captured in various lighting conditions. It supports full-frame, sub-sampling, windowed or arbitrarily scaled image output, providing flexible image capture options. Whether you need high-definition still images or smooth videos, this module can meet the needs. Its size is 38mmx38mm and is compatible with a 32mmx32mm mounting size, making it easy to integrate into various projects and equipment. With its outstanding performance and versatility, the OV5640 module is an ideal choice for machine vision and high-quality color imaging solutions.
Product Highlights
- 5MP HD resolution: Provides 2592x1944 pixel images with rich details.
- OmniBSI™ technology: ensures excellent image quality and improved light sensitivity.
- Versatile image output: supports full frame, subsampling, windowing and arbitrary zoom.
- Compact size: 1/4 inch optical size for space-constrained integration.
- ESP32 compatible: optimized for Raspberry Pi and machine vision applications.