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SC0895

Name: Raspberry Pi SC0895
Brand: Raspberry Pi
SKU: 358-SC0895
Price: 437925 IDR
Availability: InStock

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Mouser No:

358-SC0895

Mfr. No:

SC0895

Mfr.:

Raspberry Pi

Description:

Cameras & Camera Modules Wide 120 Deg, Visible Camera 3 Sensor Assembly

Lifecycle:

New Product:

New from this manufacturer.

ECAD Model:

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More Information

Learn more about Raspberry Pi SC0895

In Stock: 288

Stock:: 288 Can Dispatch Immediately

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Factory Lead Time:: 26 Weeks Estimated factory production time for quantities greater than shown.

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Unit Price:

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Ext. Price:

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Est. Tariff:

Pricing (IDR)

Qty.	Unit Price	Ext. Price
	Rp437.925	Rp437.925

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Raspberry Pi
Product Category:	Cameras & Camera Modules
RoHS:
Product:	Camera Modules
Brand:	Raspberry Pi
Country of Assembly:	Not Available
Country of Diffusion:	Not Available
Country of Origin:	CN
Packaging:	Tray
Factory Pack Quantity:	360
Subcategory:	Cameras & Accessories
Tradename:	SA31NA30P

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Attributes selected: 0

USHTS:: 8525895050
JPHTS:: 852589000
TARIC:: 8525890000
ECCN:: EAR99

Accessories

Raspberry Pi Accessories are designed to add functionality to Raspberry Pi computers. These accessories include HAT-compatible add-on boards, soundcards, peripherals, cameras, displays, thermal management, various cable assemblies, and power supplies.

Camera Module 3

Raspberry Pi Camera Module 3 are compact modules that offer phase detection autofocus (PDAF) and a Sony IMX708 12MP image sensor with high dynamic range (HDR). The Camera Module 3 is available in standard and wide-angle versions and with or without an infrared cut filter. These modules feature an HDR mode up to 3MP, and they can take full HD video as well as still photographs. The operation is also fully supported by the libcamera library. Camera Module 3 is compatible with Raspberry Pi computers (excluding early Zero models, and later Zero models require an adapter FPC, sold separately). Camera Module 3 is ideal for use by beginners and advanced users for home projects, machine learning applications, and more.