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Categories | Global Shutter Camera Module |
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Brand Name: | Sinoseen |
Model Number: | SNS11595-V1.0 |
Certification: | RoHS |
Place of Origin: | China |
MOQ: | 5 |
Price: | negotiable |
Payment Terms: | T/T |
Supply Ability: | 500000 pieces/month |
Delivery Time: | 2-3week |
Packaging Details: | Tray+Anti-static bag in carton box |
Dimensions: | 38mm x 38mm x 20mm |
Lens Mount: | CS/M12 |
Resolution: | 5MP |
Distortion: | <1.5% |
Application: | Outdoor, Indoor |
Tv Distortion: | <-20% |
Focal Length: | 2.3mm |
Optical Format: | 1/2.9 |
Free Drive: | UVC |
Pixel: | 1MP Color Global Exposure Camera Module |
Imaging Distance: | 1CM~∞ |
Sensor Type: | CMOS |
Sensor Size: | 1/2.9 |
Module Size: | 38mm×38mm(±1mm) |
Weight: | 20g |
Company Info. |
Shenzhen Sinoseen Technology Co., Ltd |
Verified Supplier |
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Product List |
Still worried about performance bottlenecks in your Raspberry Pi projects? The Sinoseen OV9281 Camera Module sets a new visual benchmark for your Raspberry Pi. It features OmniVision's OV9281 Global Shutter image sensor, delivering exceptional performance at 1280 x 800 resolution and 120 frames per second, completely solving the pain point of image distortion in high-speed motion scenarios common with traditional sensors. > This monochrome sensor boasts outstanding performance in the Near-Infrared (NIR) band, capable of "seeing" objects even in complete darkness, making it ideal for precise measurement in industrial automation and spatial positioning in AR/VR.>>>>
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This module adopts a Class V2 form factor, is perfectly compatible with all Raspberry Pi models, and optimized for the latest Pi software, enabling truly seamless integration.> With its high resolution and low latency characteristics, the OV9281 is an ideal choice for drone collision avoidance systems, providing real-time, accurate environmental data. Choose the Sinoseen OV9281 to get the perfect combination of speed, precision, and compatibility, unleashing the maximum potential of your Raspberry Pi projects and opening a new chapter of innovative applications!
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