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NOIP1FN0300A-QTI

NOIP1FN0300A-QTI

NOIP1FN0300A-QTI

ON Semiconductor

4.80x4.80μm 3 (168 Hours) LCC 60 dB

SOT-23

NOIP1FN0300A-QTI Datasheet

non-compliant

In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 15 Weeks
Lifecycle Status ACTIVE (Last Updated: 3 days ago)
Mount Surface Mount
Package / Case LCC
Number of Pins 48
Published 2015
Series PYTHON
Pbfree Code yes
Part Status Active
Moisture Sensitivity Level (MSL) 3 (168 Hours)
Max Operating Temperature 85°C
Min Operating Temperature -40°C
Body Length or Diameter 14.22mm
Body Breadth 14.22 mm
Operating Supply Voltage 3.4V
Supply Voltage-Max (Vsup) 1.9V
Termination Type SOLDER
Sensors/Transducers Type IMAGE SENSOR,CMOS
Output Interface Type 4-WIRE INTERFACE
Pixel Size 4.80x4.80μm
Dynamic Range 60 dB
Optical Format 1/4 inch
Horizontal Pixel Count 640
Master Clock 72 MHz
Frame Rate 815 fps
Vertical Pixel 480
Array Type FRAME
Body Height 2.28mm
RoHS Status ROHS3 Compliant
Lead Free Lead Free
Pricing & Ordering
Quantity Unit Price Ext. Price
1 $77.210652 $77.210652
10 $72.840237 $728.40237
100 $68.717205 $6871.7205
500 $64.827552 $32413.776
1000 $61.158068 $61158.068
NOIP1FN0300A-QTI Product Details

NOIP1FN0300A-QTI Overview


A LCC package is used for the safety protection of the image sensors. The dynamic range of the image sensor should be 60 dB. 1/4 inch is the optical format of the image sensor, as specified. The image sensor has 48 pins. During operation, image sensors should provide a voltage of 3.4V. There is a maximum voltage that can be supplied by image sensors of 1.9V. The image sensors should be set to 85°C at their maximum operating temperature. In any case, the temperature of the sensor should not be below -40°C while it is operating.

NOIP1FN0300A-QTI Features


Moisture Sensitivity Level (MSL): 3 (168 Hours)
Pixel Size: 4.80x4.80μm
Mount: Surface Mount
PYTHON Series
Master Clock: 72 MHz
Horizontal Pixel Count: 640

NOIP1FN0300A-QTI Applications


There are a lot of ON Semiconductor NOIP1FN0300A-QTI Image Sensors applications.

  • Consumer Video Communications
  • Mobile Devices
  • Automatic vehicle guidance
  • Gesture control (man-machine interface)
  • Barcode Scanning (2D)
  • Thermal Comfort sensor in automotive Air
  • Medical Applications
  • Scanner for SLAM data acquisition in mobile robots
  • Motion Monitoring
  • Machine Vision

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