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Artificial intelligence DVP Camera Module Ov5640 Camera Board For Raspberry Pi

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Guangzhou Sincere Information Technology Ltd.
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Country/Region:china
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Artificial intelligence DVP Camera Module Ov5640 Camera Board For Raspberry Pi

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Brand Name :SINCERE FIRST
Model Number :SF-C5014USB-3518-ICFPC
Certification :CE, FCC, RoHS, REACH, ISO
Place of Origin :Guangdong , China
MOQ :5 pcs
Price :Negotiable
Payment Terms :L/C, Western Union, T/T, MoneyGram, Paypal and Others
Supply Ability :350000 pcs / month
Delivery Time :7 - 15 Work Days
Packaging Details :Package, Carton Box
Sensor :OV5640
Focusing Range :10cm to Infinity
Focal Length :3.5mm
F Number :2.6
Fov(D) :65°
TV Distortion :<0.3%
Output Format :YUV&MJPEG
Interface :24pin DVP
Focus Type :Fixed Focus
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Arducam 5mp OV5640 DVP Interface Camera Module For Raspberry Pi

Specificaitons

Image Sensor OV5640
Platform Raspberry Pi
Application Artificial intelligence
Focal Range 10cm to Infinity
Focal Length 3.5mm
TV Distortion <0.3%
Pinout 24 Pin
Focus Fixed Focus
FOV(D) 65°
Interface DVP

Description

The OV5640 camera sensor is one of the most popular image sensors in the market. It is known for its high-quality image capture, low power consumption, and impressive performance in low-light conditions. The sensor is widely used in many applications, including smartphones, tablets, and other mobile devices, as well as automotive systems, security cameras, and medical devices.

Features

The OV5640 is a camera sensor that delivers programmable controls for various image settings and features. It has an internal anti-shake engine for image stabilization and supports Scalado™ tagging for faster image preview and zoom. It also offers a digital video port (DVP) parallel interface and a high-speed dual lane MIPI interface for outputting different formats12. The OV5640 delivers programmable controls for frame rate, AEC/AGC 16-zone size/position/weight control, mirror and flip, cropping, windowing, and panning. It also offers color saturation, hue, gamma, sharpness (edge enhancement), lens correction, defective pixel canceling, and noise canceling to improve image quality.

Applicaitons

Mobile

Augmented And Virtual Reality

Drones

The Internet Of Things (Iot)

Medical Devices

Industrial Systems

Automobiles

Client Devices

Tablets

Notebooks

All-In-Ones

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