NOIV2SN2000A-QDC
- Mfr.Part #
- NOIV2SN2000A-QDC
- Manufacturer
- onsemi
- Package / Case
- 52-LCC
- Datasheet
- Download
- Description
- IC IMAGE SENSOR 2.3MP 52LLC
- Stock
- 47,939
- In Stock :
- 47,939
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- Manufacturer :
- onsemi
- Product Category :
- Optical Sensors - Image Sensors, Camera
- Master Clock :
- 62 MHz
- Pixel Size :
- 4.8μmx4.8μm
- Body Height :
- 2.2mm
- Factory Lead Time :
- 23 Weeks
- Type :
- CMOS
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- Frames per Second :
- 92
- Reach Compliance Code :
- Compliant
- Active Pixel Array :
- 1920H x 1080V
- Package / Case :
- 52-LCC
- Pbfree Code :
- yes
- Data Rate :
- 62 Mbps
- Dynamic Range :
- 53 dB
- Additional Feature :
- IT ALSO HAVE SUPPLY VOLTAGE 3.0 TO 3.6 V, ALSO CURRENT CONSUMPTION 110 MA, GLOBAL SHUTTER, ROLLING SHUTTER
- Optical Format :
- 2/3 inch
- Pin Count :
- 52
- Mounting Feature :
- Surface Mount
- Packaging :
- Tray
- Housing :
- Ceramic
- Frame Rate :
- 23 fps
- Operating Temperature :
- 0°C~70°C TJ
- Power Supplies :
- 3.3V
- Body Breadth :
- 19.05 mm
- Body Length or Diameter :
- 19.05mm
- Surface Mount :
- yes
- Voltage - Supply :
- 1.8V 3.3V
- Published :
- 2012
- Datasheets
- NOIV2SN2000A-QDC

CMOS 4.8μmx4.8μm 3 (168 Hours) 1920H x 1080V 92 Frames per Second 52-LCC 1.8V 3.3V 0°C~70°C TJ Tray 53 dB
NOIV2SN2000A-QDC Overview
The image sensors are put into 52-LCC packages for safety protection. The image sensors should supply the voltage of 1.8V 3.3V. We will package these image sensors in the Tray to protect them from damage. The dynamic range of the image sensor should be 53 dB. As specified, the optical format of the image sensor is 2/3 inch. These electronic components have 52 pins.
NOIV2SN2000A-QDC Features
Moisture Sensitivity Level (MSL): 3 (168 Hours)
Pixel Size: 4.8μmx4.8μm
Active Pixel Array: 1920H x 1080V
Operating Temperature: 0°C~70°C TJ
Master Clock: 62 MHz
NOIV2SN2000A-QDC Applications
There are a lot of ON Semiconductor
NOIV2SN2000A-QDC Image Sensors applications.
- Altimeter for drones
- 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
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