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ICAM-520-D10W

Name: Advantech ICAM-520-D10W
Brand: Advantech
SKU: 923-ICAM-520-D10W
Price: 1996.95 EUR
Availability: InStock

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Mouser No:

923-ICAM-520-D10W

Mfr. No:

ICAM-520-D10W

Mfr.:

Advantech

Description:

Cameras & Camera Modules ICAM-520 Dev.kit 1.6MP, 60fps, 12mm, whi

Datasheet:

ICAM-520-D10W Datasheet (PDF)

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In Stock: 40

Stock:: 40 Can Dispatch Immediately

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Factory Lead Time:: 12 Weeks Estimated factory production time for quantities greater than shown.

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Pricing (EUR)

Qty.	Unit Price	Ext. Price
	€1,996.95	€1,996.95

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Advantech
Product Category:	Cameras & Camera Modules
RoHS:
Product:	Industrial AI Cameras
Number of frames per second:	60 fps
Operating Supply Voltage:	19 V to 24 V
Minimum Operating Temperature:	0 C
Maximum Operating Temperature:	+ 45 C
Dimensions:	82 mm x 121 mm x 63 mm
Brand:	Advantech
Country of Assembly:	Not Available
Country of Diffusion:	Not Available
Country of Origin:	TW
Memory Type:	LPDDR4
Series:	ICAM-520
Factory Pack Quantity:	1
Subcategory:	Cameras & Accessories

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Datasheet

ICAM-520-D10W Datasheet (PDF)

PCN

USHTS:: 8525895050
ECCN:: 5A992.C

ICAM-520 Industrial AI Camera

Advantech ICAM-520 Industrial AI Camera is an all-in-one, compact and rugged solution that is ideal for various Edge AI vision applications. The ICAM-520 is highly integrated with programmable variable focus lenses, LED illumination, a Sony industrial-grade image sensor, multiple core Arm® processors, and NVIDIA Jetson Xavier NX. The camera features a varifocal lens and LED illumination to reduce installation and maintenance. The Advantech ICAM-520 accelerates the development and deployment of cloud-to-edge vision AI applications by using CAMNavi SDK, HTML5 web-based utility and NVIDIA Deepstream SDK. The CAMNavi SDK uses Python language by default and is better adapted to image acquisition and AI algorithm integration. The HTML 5 web-based utility can set up the cameras and network configuration for easy installation. A preloaded Jetpack board support package V4L2 and RTSP interface enable seamless connection to AI cloud services.