KAI-16000-CXA-JD-B2

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Mfr.Part #
KAI-16000-CXA-JD-B2
Manufacturer
onsemi
Package / Case
40-BCPGA
Datasheet
Download
Description
IMAGE SENSOR CCD 15.8MP 40CPGA
Stock
12,576
In Stock :
12,576

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Manufacturer :
onsemi
Product Category :
Optical Sensors - Image Sensors, Camera
Active Pixel Array :
4872H x 3248V
Number of Pins :
40
Type :
CCD
Operating Supply Voltage :
15.5V
Voltage - Supply :
14.5V~15.5V
Moisture Sensitivity Level (MSL) :
1 (Unlimited)
Frames per Second :
3
Package / Case :
40-BCPGA
Packaging :
Bulk
Radiation Hardening :
No
Pbfree Code :
yes
RoHS Status :
RoHS Compliant
Lead Free :
Lead Free
Mount :
Through Hole
Operating Temperature :
-50°C~70°C TA
Pixel Size :
7.4μmx7.4μm
Published :
2014
Introducing Optical Sensors - Image Sensors, Camera onsemi KAI-16000-CXA-JD-B2 from Chip IC,where excellence meets affordability. This product stands out with its Number of Pins:40, Type:CCD, Package / Case:40-BCPGA, Operating Temperature:-50°C~70°C TA, KAI-16000-CXA-JD-B2 pinout, KAI-16000-CXA-JD-B2 datasheet PDF, KAI-16000-CXA-JD-B2 amp .Beyond Optical Sensors - Image Sensors, Camera onsemi KAI-16000-CXA-JD-B2 ,we also offer AR0330CS1C12SPKA0-CR, AR0132AT6C00XPEA0-DPBR, MT9V024IA7XTM-DP2, Our vast inventory has you covered. Contact us now for immediate solutions.



CCD 7.4μmx7.4μm 1 (Unlimited) 4872H x 3248V 3 Frames per Second 40-BCPGA 14.5V~15.5V -50°C~70°C TA Bulk

KAI-16000-CXA-JD-B2 Overview


In order to protect the image sensors, they are put into 40-BCPGA packages. A voltage of 14.5V~15.5V should be supplied by the image sensors. These image sensors will be packaged in the Bulk for protection. There are 40 pins on the image sensor. During operation, the voltage supplied by image sensors should be 15.5V.

KAI-16000-CXA-JD-B2 Features


Moisture Sensitivity Level (MSL): 1 (Unlimited)
Pixel Size: 7.4μmx7.4μm
Active Pixel Array: 4872H x 3248V
Operating Temperature: -50°C~70°C TA
Mount: Through Hole


KAI-16000-CXA-JD-B2 Applications


There are a lot of ON Semiconductor
KAI-16000-CXA-JD-B2 Image Sensors applications.


  • Scanner for SLAM data acquisition in mobile robots
  • People and object counting
  • Door opening, machine controlling and safeguarding
  • Volumetric mapping of objects
  • Automatic vehicle guidance
  • Low cost seating position detection in cars
  • Gesture control (man-machine interface)
  • Embedded Notebook,
  • Mobile Devices
  • Tethered PC Cameras
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