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The Compact and High-Performance Raspberry Pi Camera Module for Motion Detection and Barcode Recognition
Product Details:
| Place of Origin: | China |
| Brand Name: | Sinoseen |
| Certification: | RoHS、ISO9001、CE |
| Model Number: | XLS11726-V1.1 |
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 |
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Detail Information |
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| Type: | ESP32 Camera Module | Sensor: | GC0308 |
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| Resolution: | 640H X 488V | Dimensions: | 38mmx38mm (compatible With 32mmx32mm) |
| Highlight: | Motion Detection Raspberry Pi Camera Module,Barcode Recognition Raspberry Pi Camera Module,High Performance Raspberry Pi Camera Module |
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Product Description
The advanced GC0308 CMOS image sensor is designed for compact, high-performance imaging applications. It has a standard optical size of 1/6.5 inches and can output images with a resolution of 640x488 (VGA). With its rich feature set, the sensor excels in a variety of applications such as motion detection and barcode recognition.
The GC0308 sensor is capable of providing stable image output, and its design makes it highly applicable in scenarios where size and performance are required. It is ideal for integration into embedded systems such as ESP32 camera modules to provide basic image data for machine vision and intelligent recognition tasks. The module measures 38mmx38mm and is compatible with a mounting size of 32mmx32mm, making it easy to integrate into different devices. Whether it requires precise motion capture or efficient barcode scanning, the GC0308 module can provide a reliable solution.
Product Highlights
- Compact design: 1/6.5-inch optical size, suitable for space-constrained applications.
- VGA resolution: provides 640x488 image output.
- Motion detection optimization: supports applications that require accurate motion capture.
- Barcode recognition function: suitable for efficient barcode scanning and recognition tasks.
- Wide application potential: ideal for ESP32 and other machine vision projects.
