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SC0875

Name: Raspberry Pi SC0875
Brand: Raspberry Pi
SKU: 358-SC0875
Price: 53.73 CAD
Availability: InStock

Images are for reference only
See Product Specifications

Mouser #:

358-SC0875

Mfr. #:

SC0875

Mfr.:

Raspberry Pi

Description:

Cameras & Camera Modules Camera Module 3 Wide NoIR

Datasheet:

SC0875 Datasheet (PDF)

ECAD Model:

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More Information

Learn more about Raspberry Pi SC0875

In Stock: 124

Stock:: 124

Can Ship Immediately

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On Order:: 135

Expected 2026-03-10
Factory Lead-Time:: 5

Weeks Estimated factory production time for quantities greater than shown.

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Minimum: 1 Multiples: 1

Unit Price:

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Ext. Price:

$-.--

Est. Tariff:

Pricing (CAD)

Qty.	Unit Price	Ext. Price
	$53.73	$53.73

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Raspberry Pi
Product Category:	Cameras & Camera Modules
RoHS:
Brand:	Raspberry Pi
Series:	Raspberry Pi Camera
Factory Pack Quantity:	135
Subcategory:	Cameras & Accessories
Part # Aliases:	SC1226

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Filter Document:

Datasheet

SC0875 Datasheet (PDF)

EU Declaration of Conformity (PDF)

CNHTS:: 8525891900
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.