| Parameters |
| Factory Lead Time |
28 Weeks |
| Lifecycle Status |
LAST SHIPMENTS (Last Updated: 3 days ago) |
| Package / Case |
48-LCC |
| Surface Mount |
YES |
| Mounting Feature |
SURFACE MOUNT |
| Number of Pins |
48 |
| Operating Temperature |
-40°C~70°C TJ |
| Packaging |
Tray |
| Published |
2011 |
| JESD-609 Code |
e3 |
| Pbfree Code |
yes |
| Part Status |
Obsolete |
| Moisture Sensitivity Level (MSL) |
1 (Unlimited) |
| Type |
CMOS |
| Terminal Finish |
Matte Tin (Sn) |
| Subcategory |
CCD Image Sensors |
| Voltage - Supply |
2.5V~3.3V |
| Pin Count |
48 |
| Body Length or Diameter |
14.22mm |
| Body Breadth |
14.22 mm |
| Power Supplies |
2.5V |
| Halogen Free |
Halogen Free |
| Housing |
CERAMIC |
| Frames per Second |
250 |
| Pixel Size |
9.9μmx9.9μm |
| Active Pixel Array |
640H x 480V |
| Dynamic Range |
61 dB |
| Optical Format |
1/2 inch |
| Horizontal Pixel Count |
640 |
| Master Clock |
80 MHz |
| Sensitivity (V/lx.s) |
17 V/lx.s |
| Body Height |
1.55mm |
| RoHS Status |
Non-RoHS Compliant |
| Lead Free |
Lead Free |
NOIL1SE0300A-QDC Overview
In order to protect the image sensors, they are put into 48-LCC packages. There should be a voltage of 2.5V~3.3V supplied by the image sensors. To protect them from damage, we'll package them in Tray. It is recommended that the image sensor has a dynamic range of 61 dB. The optical format of the image sensor is 1/2 inch. In the image sensor, there are 48 pins. 48 pins are found on these electronic components.
NOIL1SE0300A-QDC Features
Moisture Sensitivity Level (MSL): 1 (Unlimited)
Pixel Size: 9.9μmx9.9μm
Active Pixel Array: 640H x 480V
Operating Temperature: -40°C~70°C TJ
Master Clock: 80 MHz
Horizontal Pixel Count: 640
NOIL1SE0300A-QDC Applications
There are a lot of ON Semiconductor NOIL1SE0300A-QDC Image Sensors applications.
- Barcode Scanning (2D)
- Machine Vision
- Bar Code Scanning
- Visual IR thermometers
- Microwave ovens
- Conditioning control system
- Temperature sensing element for
- Tethered PC Cameras
- Altimeter for drones
- Scanner for SLAM data acquisition in mobile robots