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NOIP1SN5000A-QDI

NOIP1SN5000A-QDI datasheet pdf and Image Sensors, Camera product details from ON Semiconductor stock available at Utmel


  • Manufacturer: ON Semiconductor
  • Origchip NO: 598-NOIP1SN5000A-QDI
  • Package: 84-LCC
  • Datasheet: PDF
  • Stock: 538
  • Description: NOIP1SN5000A-QDI datasheet pdf and Image Sensors, Camera product details from ON Semiconductor stock available at Utmel(Kg)

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Details

Tags

Parameters
Factory Lead Time 20 Weeks
Lifecycle Status LAST SHIPMENTS (Last Updated: 1 day ago)
Mount Surface Mount
Package / Case 84-LCC
Number of Pins 84
Operating Temperature -40°C~85°C TJ
Packaging Tray
Published 2015
Series PYTHON
Pbfree Code yes
Part Status Obsolete
Moisture Sensitivity Level (MSL) 3 (168 Hours)
Type CMOS with Processor
Voltage - Supply 1.8V~3.3V
Body Length or Diameter 19mm
Body Breadth 19 mm
Operating Supply Voltage 3.6V
Frames per Second 100
Pixel Size 4.8μmx4.8μm
Active Pixel Array 2592H x 2048V
Dynamic Range 60 dB
Master Clock 72 MHz
Body Height 2.41mm
RoHS Status ROHS3 Compliant
Lead Free Lead Free

NOIP1SN5000A-QDI Overview


For safety reasons, the image sensors are packaged in 84-LCC packages. A voltage of 1.8V~3.3V should be supplied by the image sensors. To prevent them from being damaged, we will package these image sensors in the Tray. An image sensor with a dynamic range of 60 dB should be used. This image sensor has 84 pins. During operation, images sensors should supply a voltage of 3.6V.

NOIP1SN5000A-QDI Features


Moisture Sensitivity Level (MSL): 3 (168 Hours)
Pixel Size: 4.8μmx4.8μm
Active Pixel Array: 2592H x 2048V
Operating Temperature: -40°C~85°C TJ
Mount: Surface Mount
PYTHON Series
Master Clock: 72 MHz

NOIP1SN5000A-QDI Applications


There are a lot of ON Semiconductor NOIP1SN5000A-QDI Image Sensors applications.

  • Security
  • Scanner for SLAM data acquisition in mobile robots
  • Door opening, machine controlling and safeguarding
  • Tethered PC Cameras
  • Desktop Monitor cameras
  • Consumer Video Communications
  • intelligent building air conditioning
  • Barcode Scanning (2D)
  • People and object counting
  • Bar Code Scanning