Small Size Big Capabilities 1280 × 800 Resolution Raspberry Pi Camera Module for AR VR
Λεπτομέρειες:
Τόπος καταγωγής: | Κίνα |
Μάρκα: | Sinoseen |
Πιστοποίηση: | RoHS、ISO9001、CE |
Αριθμό μοντέλου: | ΣΝΣ11595-Β1.0 |
Πληρωμής & Αποστολής Όροι:
Ποσότητα παραγγελίας min: | 5 |
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Τιμή: | διαπραγματεύσιμα |
Συσκευασία λεπτομέρειες: | Τραπέζι+Αντιστατική σακούλα σε κουτί από χαρτόνι |
Χρόνος παράδοσης: | 2-3week |
Όροι πληρωμής: | Τ/Τ |
Δυνατότητα προσφοράς: | 500000 κομμάτια/μήνας |
Λεπτομερής ενημέρωση |
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Τύπος:: | Ενότητα καμερών σμέουρων pi | Αισθητήρας:: | OV9281 |
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Ψήφισμα:: | 1280 × 800 | Μέγεθος:: | 38mmx38mm (συμβατός με 32mmx32mm) |
Επισημαίνω: | Small Size Raspberry Pi Camera Module,VR Raspberry Pi Camera Module,AR Raspberry Pi Camera Module |
Περιγραφή προϊόντων
Designed for Raspberry Pi, the Sinoseen OV9281 camera module features the OmniVision OV9281 high-speed global shutter image sensor. It can capture 1280x800 HD images at up to 120 frames per second with excellent near-infrared (NIR) quantum efficiency.
The module uses a monochrome sensor, making it ideal for applications that require high resolution and low latency. Its global shutter technology ensures that images are accurate and stable without jello or motion blur when capturing fast-moving objects. Compatible with all Raspberry Pi models, the OV9281 module features a V2-like form factor and is optimized for the latest Raspberry Pi software. Whether it is augmented reality (AR), virtual reality (VR), drone collision avoidance systems, or industrial automation, this module can provide excellent visual solutions to enhance the performance of your visual projects.
Product Highlights
- Global shutter technology: Accurately capture high-speed moving objects without motion blur.
- High-speed frame rate: supports 120 frames per second at 1280x800 resolution.
- Excellent near-infrared (NIR) performance: improves imaging capabilities at night or in specific light spectrums.
- Monochrome sensor: suitable for applications with high light sensitivity and contrast requirements.
- Optimized for Raspberry Pi: compatible with all Pi models, plug and play.