Description
The Omron FH-SC02 is an industrial vision camera designed for high-speed image acquisition and inspection in automation systems. It features a 2.0 MP CMOS sensor with a resolution of 2040 × 1088 and supports frame rates up to 219 fps. This camera is used in machine vision applications requiring precise and fast image processing.
Technical Specifications
| Condition |
New/Never Used Surplus |
| Brand |
Omron |
| Category |
Business & Industrial |
| Part Number |
FH-SC02 |
| Subcategory |
Industrial Cameras |
| Series |
FH |
| Camera Type |
Color |
| Resolution |
2040 × 1088 |
| Megapixels |
2.0 MP |
| Frame Rate |
219 fps |
| Sensor Type |
CMOS (2/3") |
| Pixel Size |
5.5 µm |
| Shutter Type |
Global |
| Lens Mount |
C-Mount |
| Scan Type |
Area Scan |
| Connection Type |
Cable with Connector |
| Operating Temperature |
0°C to 40°C |
| Weight |
0.11 kg |
Information About FH-SC02
The FH-SC02 is part of Omron’s FH series machine vision system components, developed for advanced inspection and quality control processes. It utilizes a global shutter CMOS sensor to capture clear images without motion distortion in high-speed environments. The camera supports C-mount lenses, allowing flexibility in optical configuration depending on the application. Its compact design and cable connection make it suitable for integration into automated inspection and measurement systems.
Key Features:
- 2.0 MP resolution: Provides detailed image capture for inspection tasks.
- High frame rate: Supports up to 219 fps for fast-moving production lines.
- Global shutter sensor: Eliminates motion blur in dynamic applications.
- CMOS image sensor: Ensures stable and efficient image acquisition.
- C-mount compatibility: Allows use of various industrial lenses.
- Compact industrial design: Suitable for integration into vision systems.
- Area scan imaging: Captures full-frame images for analysis.
- Cable connection interface: Enables reliable system integration.
The FH-SC02 delivers the reliability and precision required for high-speed inspection and machine vision applications in industrial automation systems.
