XM-BL20903-76 (-xx)
1/9" Color CMOS 720p Low Temperature (USB 2.0)
Description

The XM-BL20903-76 is a front view camera module manufactured in Taiwan. It uses a 1/9" Color CMOS sensor with 1 Megapixel (1280 x 720) resolution at 15 to 30 fps and excellent low-light sensitivity, built for low-temperature environments.

Its ultra-small Ø 3.2 x 6 mm body suits tight embedded applications, with a variety of optional view angles available and optional White, High-Intensity White, IR 850 nm, and IR 940 nm LED support for low-light use.

It connects via a USB 2.0 Micro-B connector for straightforward integration. Compact and reliable, it suits precision inspection and embedded imaging needs.

Feature
• 1 Megapixel
  (1280 x 720 @ 15~30 fps)
• 1/9" Color CMOS
• View Angle 76°
   31° / 63° / 65° / 109° / 120° (Optional)
• White LED / High-Intensity White LED / IR 850nm / IR 940 nm (Optional)
• Interface USB 2.0 
   Interface USB 3.0 (Optional)

• USB 2.0 Micro-B Connector
• Mini Camera, Compact Size and High Image Quality Camera Module
Choose Model
※ XM-BL20903-76 (Need Customized Request)
※ XM-BL20903-76 (Need Customized Request)
Video Format MJPEG / YUV
Image Sensor 1/9" Color CMOS
Resolution 1280 x 720 @ 15~30 fps
Pixel Size (μm) 1.12 × 1.12
Image Area (mm) 1.43 × 0.81
Scan Mode Progressive
Sensitivity 290 mV / (Lux-sec)
Dynamic Range 64.6 dB
S/N Ratio 37.6 dB
Shutter Rolling
Lens
1.32 mm / F 2.0
View Angle 76°
Focus Distance (mm) Infinity
LED N/A (Optional)
Power Supply DC 5 V
Power Current 120 mA
Interface USB 2.0 Micro-B 
Dimension (mm) Ø 3.2 x 6
• Medical Endoscopy Device Integration
• Dental Intraoral Imaging
• Automotive Front-View Camera Integration
• Robotics and Drone Payload Integration
• Non-Destructive Testing
• Industrial Inspection
• Drain Pipe Inspection
• Pipeline Inspection
• Automotive Inspection
• Engine Valves Inspection
• Robotic Inspection
• Tube Inspection
• Air Duct and Vent Inspection
• Machine Inspection
• Machine Vision
• Aerospace Inspection
• Aviation Inspection
• Security Monitoring
• Life Sciences
• Search and Rescue
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